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Andrew Zisserman
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- affiliation: University of Oxford, UK
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2020 – today
- 2025
- [j106]Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Yang Liu, Samuel Albanie:
TeachText: CrossModal text-video retrieval through generalized distillation. Artif. Intell. 338: 104235 (2025) - 2024
- [j105]Jaesung Huh, Joon Son Chung, Arsha Nagrani, Andrew Brown, Jee-weon Jung, Daniel Garcia-Romero, Andrew Zisserman:
The VoxCeleb Speaker Recognition Challenge: A Retrospective. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3850-3866 (2024) - [c491]Ragav Sachdeva, Andrew Zisserman:
The Manga Whisperer: Automatically Generating Transcriptions for Comics. CVPR 2024: 12967-12976 - [c490]Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman:
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language. CVPR 2024: 13117-13127 - [c489]Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joe Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh:
A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. CVPR 2024: 14386-14397 - [c488]Jacob Chalk, Jaesung Huh, Evangelos Kazakos, Andrew Zisserman, Dima Damen:
TIM: A Time Interval Machine for Audio-Visual Action Recognition. CVPR 2024: 18153-18163 - [c487]Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD III: The Prequel - Back to the Pixels. CVPR 2024: 18164-18174 - [c486]Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman:
Amodal Ground Truth and Completion in the Wild. CVPR 2024: 28003-28013 - [c485]João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman:
Learning from One Continuous Video Stream. CVPR 2024: 28751-28761 - [c484]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. ECCV (59) 2024: 197-214 - [c483]Junyu Xie, Weidi Xie, Andrew Zisserman:
Appearance-Based Refinement for Object-Centric Motion Segmentation. ECCV (39) 2024: 238-256 - [c482]Charig Yang, Weidi Xie, Andrew Zisserman:
Made to Order: Discovering Monotonic Temporal Changes via Self-supervised Video Ordering. ECCV (74) 2024: 268-286 - [c481]Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari:
Text-Conditioned Resampler For Long Form Video Understanding. ECCV (86) 2024: 271-288 - [c480]Akam Rahimi, Triantafyllos Afouras, Andrew Zisserman:
Voicevector: Multimodal Enrolment Vectors for Speaker Separation. ICASSP Workshops 2024: 785-789 - [c479]Bruno Korbar, Jaesung Huh, Andrew Zisserman:
Look, Listen and Recognise: Character-Aware Audio-Visual Subtitling. ICASSP 2024: 2975-2979 - [c478]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Synchformer: Efficient Synchronization From Sparse Cues. ICASSP 2024: 5325-5329 - [c477]Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke:
A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval. ICASSP 2024: 7300-7304 - [c476]Emmanuelle Bourigault, Amir Jamaludin, Andrew Zisserman:
3D Spine Shape Estimation from Single 2D DXA. MICCAI (5) 2024: 3-13 - [c475]Robin Y. Park, Rhydian Windsor, Amir Jamaludin, Andrew Zisserman:
Automated Spinal MRI Labelling from Reports Using a Large Language Model. MICCAI (5) 2024: 101-111 - [i230]Ragav Sachdeva, Andrew Zisserman:
The Manga Whisperer: Automatically Generating Transcriptions for Comics. CoRR abs/2401.10224 (2024) - [i229]Bruno Korbar, Jaesung Huh, Andrew Zisserman:
Look, Listen and Recognise: Character-Aware Audio-Visual Subtitling. CoRR abs/2401.12039 (2024) - [i228]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Synchformer: Efficient Synchronization from Sparse Cues. CoRR abs/2401.16423 (2024) - [i227]Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman:
BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR abs/2402.00847 (2024) - [i226]Andreea-Maria Oncescu, João F. Henriques, Andrew Zisserman, Samuel Albanie, A. Sophia Koepke:
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval. CoRR abs/2402.19106 (2024) - [i225]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR abs/2403.10997 (2024) - [i224]Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar:
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR abs/2403.12026 (2024) - [i223]Jacob Chalk, Jaesung Huh, Evangelos Kazakos, Andrew Zisserman, Dima Damen:
TIM: A Time Interval Machine for Audio-Visual Action Recognition. CoRR abs/2404.05559 (2024) - [i222]Junyu Xie, Charig Yang, Weidi Xie, Andrew Zisserman:
Moving Object Segmentation: All You Need Is SAM (and Flow). CoRR abs/2404.12389 (2024) - [i221]Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD III: The Prequel - Back to the Pixels. CoRR abs/2404.14412 (2024) - [i220]Charig Yang, Weidi Xie, Andrew Zisserman:
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering. CoRR abs/2404.16828 (2024) - [i219]Charles Raude, K. R. Prajwal, Liliane Momeni, Hannah Bull, Samuel Albanie, Andrew Zisserman, Gül Varol:
A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision. CoRR abs/2405.10266 (2024) - [i218]Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman:
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language. CoRR abs/2406.05629 (2024) - [i217]Niki Amini-Naieni, Tengda Han, Andrew Zisserman:
CountGD: Multi-Modal Open-World Counting. CoRR abs/2407.04619 (2024) - [i216]Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch:
TAPVid-3D: A Benchmark for Tracking Any Point in 3D. CoRR abs/2407.05921 (2024) - [i215]Junyu Xie, Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description. CoRR abs/2407.15850 (2024) - [i214]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman:
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR abs/2407.17085 (2024) - [i213]Ragav Sachdeva, Gyungin Shin, Andrew Zisserman:
Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names. CoRR abs/2408.00298 (2024) - [i212]Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR abs/2408.09860 (2024) - [i211]Jaesung Huh, Joon Son Chung, Arsha Nagrani, Andrew Brown, Jee-weon Jung, Daniel Garcia-Romero, Andrew Zisserman:
The VoxCeleb Speaker Recognition Challenge: A Retrospective. CoRR abs/2408.14886 (2024) - [i210]Jaesung Huh, Andrew Zisserman:
Character-aware audio-visual subtitling in context. CoRR abs/2410.11068 (2024) - [i209]Toby Perrett, Tengda Han, Dima Damen, Andrew Zisserman:
It's Just Another Day: Unique Video Captioning by Discriminative Prompting. CoRR abs/2410.11702 (2024) - [i208]Robin Y. Park, Rhydian Windsor, Amir Jamaludin, Andrew Zisserman:
Automated Spinal MRI Labelling from Reports Using a Large Language Model. CoRR abs/2410.17235 (2024) - 2023
- [j104]Michael P. J. Camilleri, Li Zhang, Rasneer S. Bains, Andrew Zisserman, Christopher K. I. Williams:
Persistent animal identification leveraging non-visual markers. Mach. Vis. Appl. 34(4): 68 (2023) - [c474]Sindhu B. Hegde, Andrew Zisserman:
GestSync: Determining who is speaking without a talking head. BMVC 2023: 506-509 - [c473]Niki Amini-Naieni, Kiana Amini-Naieni, Tengda Han, Andrew Zisserman:
Open-world Text-specifed Object Counting. BMVC 2023: 510 - [c472]Yash Bhalgat, João F. Henriques, Andrew Zisserman:
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CVPR 2023: 4958-4969 - [c471]Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD: Movie Description in Context. CVPR 2023: 18930-18940 - [c470]Jaesung Huh, Jacob Chalk, Evangelos Kazakos, Dima Damen, Andrew Zisserman:
Epic-Sounds: A Large-Scale Dataset of Actions that Sound. ICASSP 2023: 1-5 - [c469]Hala Lamdouar, Weidi Xie, Andrew Zisserman:
The Making and Breaking of Camouflage. ICCV 2023: 832-842 - [c468]Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman:
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV 2023: 10027-10038 - [c467]Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD II: The Sequel - Who, When, and What in Movie Audio Description. ICCV 2023: 13599-13609 - [c466]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model. ICCV 2023: 13855-13866 - [c465]Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. ICCV 2023: 15533-15545 - [c464]Ragav Sachdeva, Andrew Zisserman:
The Change You Want to See (Now in 3D). ICCV (Workshops) 2023: 2052-2061 - [c463]Prannay Kaul, Weidi Xie, Andrew Zisserman:
Multi-Modal Classifiers for Open-Vocabulary Object Detection. ICML 2023: 15946-15969 - [c462]Max Bain, Jaesung Huh, Tengda Han, Andrew Zisserman:
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio. INTERSPEECH 2023: 4489-4493 - [c461]Emmanuelle Bourigault, Amir Jamaludin, Emma Clark, Jeremy Fairbank, Timor Kadir, Andrew Zisserman:
3D Shape Analysis of Scoliosis. ShapeMI@MICCAI 2023: 271-286 - [c460]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime. MIDL 2023: 53-73 - [c459]Jonathan Campbell, Mitchell Dawson, Andrew Zisserman, Weidi Xie, Christoffer Nellåker:
Deep Facial Phenotyping with Mixup Augmentation. MIUA 2023: 133-144 - [c458]Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS 2023 - [c457]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - [c456]Sagar Vaze, Andrea Vedaldi, Andrew Zisserman:
No Representation Rules Them All in Category Discovery. NeurIPS 2023 - [c455]Ragav Sachdeva, Andrew Zisserman:
The Change You Want to See. WACV 2023: 3982-3991 - [i207]Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman:
Zorro: the masked multimodal transformer. CoRR abs/2301.09595 (2023) - [i206]Jaesung Huh, Jacob Chalk, Evangelos Kazakos, Dima Damen, Andrew Zisserman:
Epic-Sounds: A Large-scale Dataset of Actions That Sound. CoRR abs/2302.00646 (2023) - [i205]Jaesung Huh, Andrew Brown, Jee-weon Jung, Joon Son Chung, Arsha Nagrani, Daniel Garcia-Romero, Andrew Zisserman:
VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge. CoRR abs/2302.10248 (2023) - [i204]Max Bain, Jaesung Huh, Tengda Han, Andrew Zisserman:
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio. CoRR abs/2303.00747 (2023) - [i203]Relja Arandjelovic, Alex Andonian, Arthur Mensch, Olivier J. Hénaff, Jean-Baptiste Alayrac, Andrew Zisserman:
Three ways to improve feature alignment for open vocabulary detection. CoRR abs/2303.13518 (2023) - [i202]Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD: Movie Description in Context. CoRR abs/2303.16899 (2023) - [i201]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime. CoRR abs/2303.17644 (2023) - [i200]Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. CoRR abs/2304.06708 (2023) - [i199]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i198]Niki Amini-Naieni, Kiana Amini-Naieni, Tengda Han, Andrew Zisserman:
Open-world Text-specified Object Counting. CoRR abs/2306.01851 (2023) - [i197]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR abs/2306.04633 (2023) - [i196]Prannay Kaul, Weidi Xie, Andrew Zisserman:
Multi-Modal Classifiers for Open-Vocabulary Object Detection. CoRR abs/2306.05493 (2023) - [i195]Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman:
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR abs/2306.08637 (2023) - [i194]Jaesung Huh, Max Bain, Andrew Zisserman:
OxfordVGG Submission to the EGO4D AV Transcription Challenge. CoRR abs/2307.09006 (2023) - [i193]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model. CoRR abs/2308.07918 (2023) - [i192]Ragav Sachdeva, Andrew Zisserman:
The Change You Want to See (Now in 3D). CoRR abs/2308.10417 (2023) - [i191]Hala Lamdouar, Weidi Xie, Andrew Zisserman:
The Making and Breaking of Camouflage. CoRR abs/2309.03899 (2023) - [i190]Sindhu B. Hegde, Andrew Zisserman:
GestSync: Determining who is speaking without a talking head. CoRR abs/2310.05304 (2023) - [i189]Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman:
What Does Stable Diffusion Know about the 3D Scene? CoRR abs/2310.06836 (2023) - [i188]Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman:
AutoAD II: The Sequel - Who, When, and What in Movie Audio Description. CoRR abs/2310.06838 (2023) - [i187]Jianbo Jiao, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, Andrew Zisserman, J. Alison Noble:
Show from Tell: Audio-Visual Modelling in Clinical Settings. CoRR abs/2310.16477 (2023) - [i186]Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman:
Predicting Spine Geometry and Scoliosis from DXA Scans. CoRR abs/2311.09424 (2023) - [i185]Sagar Vaze, Andrea Vedaldi, Andrew Zisserman:
No Representation Rules Them All in Category Discovery. CoRR abs/2311.17055 (2023) - [i184]João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman:
Learning from One Continuous Video Stream. CoRR abs/2312.00598 (2023) - [i183]Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joseph Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh:
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames. CoRR abs/2312.07395 (2023) - [i182]Junyu Xie, Weidi Xie, Andrew Zisserman:
Appearance-based Refinement for Object-Centric Motion Segmentation. CoRR abs/2312.11463 (2023) - [i181]Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari:
Text-Conditioned Resampler For Long Form Video Understanding. CoRR abs/2312.11897 (2023) - [i180]Joseph Heyward, João Carreira, Dima Damen, Andrew Zisserman, Viorica Patraucean:
Perception Test 2023: A Summary of the First Challenge And Outcome. CoRR abs/2312.13090 (2023) - [i179]Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman:
Amodal Ground Truth and Completion in the Wild. CoRR abs/2312.17247 (2023) - 2022
- [j103]Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman:
Scaling Up Sign Spotting Through Sign Language Dictionaries. Int. J. Comput. Vis. 130(6): 1416-1439 (2022) - [j102]Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net++: Revisiting People Looking at Each Other in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3069-3081 (2022) - [j101]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6767-6781 (2022) - [j100]Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Deep Audio-Visual Speech Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8717-8727 (2022) - [c454]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Is an Object-Centric Video Representation Beneficial for Transfer? ACCV (4) 2022: 379-397 - [c453]Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski:
Compressed Vision for Efficient Video Understanding. ACCV (7) 2022: 679-695 - [c452]Guanqi Zhan, Weidi Xie, Andrew Zisserman:
A Tri-Layer Plugin to Improve Occluded Detection. BMVC 2022: 250 - [c451]Chang Liu, Yujie Zhong, Andrew Zisserman, Weidi Xie:
CounTR: Transformer-based Generalised Visual Counting. BMVC 2022: 370 - [c450]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors. BMVC 2022: 395 - [c449]K. R. Prajwal, Hannah Bull, Liliane Momeni, Samuel Albanie, Gül Varol, Andrew Zisserman:
Weakly-supervised Fingerspelling Recognition in British Sign Language Videos. BMVC 2022: 609 - [c448]Tengda Han, Weidi Xie, Andrew Zisserman:
Turbo Training with Token Dropout. BMVC 2022: 622 - [c447]Bruno Korbar, Andrew Zisserman:
Personalised CLIP or: how to find your vacation videos. BMVC 2022: 639 - [c446]Charig Yang, Weidi Xie, Andrew Zisserman:
It's About Time: Analog Clock Reading in the Wild. CVPR 2022: 2498-2507 - [c445]Tengda Han, Weidi Xie, Andrew Zisserman:
Temporal Alignment Networks for Long-term Video. CVPR 2022: 2896-2906 - [c444]K. R. Prajwal, Triantafyllos Afouras, Andrew Zisserman:
Sub-word Level Lip Reading With Visual Attention. CVPR 2022: 5152-5162 - [c443]Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman:
Input-level Inductive Biases for 3D Reconstruction. CVPR 2022: 6166-6176 - [c442]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. CVPR 2022: 7482-7491 - [c441]Akam Rahimi, Triantafyllos Afouras, Andrew Zisserman:
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation. CVPR 2022: 10483-10492 - [c440]Prannay Kaul, Weidi Xie, Andrew Zisserman:
Label, Verify, Correct: A Simple Few Shot Object Detection Method. CVPR 2022: 14217-14227 - [c439]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object Discovery and Representation Networks. ECCV (27) 2022: 123-143 - [c438]Liliane Momeni, Hannah Bull, K. R. Prajwal, Samuel Albanie, Gül Varol, Andrew Zisserman:
Automatic Dense Annotation of Large-Vocabulary Sign Language Videos. ECCV (35) 2022: 671-690 - [c437]Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR 2022 - [c436]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Open-Set Recognition: A Good Closed-Set Classifier is All You Need. ICLR 2022 - [c435]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Context-Aware Transformers for Spinal Cancer Detection and Radiological Grading. MICCAI (3) 2022: 271-281 - [c434]Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan:
Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS 2022 - [c433]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS 2022 - [c432]Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein:
Associating Objects and Their Effects in Video through Coordination Games. NeurIPS 2022 - [c431]Junyu Xie, Weidi Xie, Andrew Zisserman:
Segmenting Moving Objects via an Object-Centric Layered Representation. NeurIPS 2022 - [i178]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Generalized Category Discovery. CoRR abs/2201.02609 (2022) - [i177]Andrew Brown, Jaesung Huh, Joon Son Chung, Arsha Nagrani, Andrew Zisserman:
VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge. CoRR abs/2201.04583 (2022) - [i176]João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle:
Hierarchical Perceiver. CoRR abs/2202.10890 (2022) - [i175]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object discovery and representation networks. CoRR abs/2203.08777 (2022) - [i174]Tengda Han, Weidi Xie, Andrew Zisserman:
Temporal Alignment Networks for Long-term Video. CoRR abs/2204.02968 (2022) - [i173]Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan:
Flamingo: a Visual Language Model for Few-Shot Learning. CoRR abs/2204.14198 (2022) - [i172]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans. CoRR abs/2205.01683 (2022) - [i171]Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman:
Scaling up sign spotting through sign language dictionaries. CoRR abs/2205.04152 (2022) - [i170]Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman:
A CLIP-Hitchhiker's Guide to Long Video Retrieval. CoRR abs/2205.08508 (2022) - [i169]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading. CoRR abs/2206.13173 (2022) - [i168]Junyu Xie, Weidi Xie, Andrew Zisserman:
Segmenting Moving Objects via an Object-Centric Layered Representation. CoRR abs/2207.02206 (2022) - [i167]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Is an Object-Centric Video Representation Beneficial for Transfer? CoRR abs/2207.10075 (2022) - [i166]Liliane Momeni, Hannah Bull, K. R. Prajwal, Samuel Albanie, Gül Varol, Andrew Zisserman:
Automatic dense annotation of large-vocabulary sign language videos. CoRR abs/2208.02802 (2022) - [i165]Chang Liu, Yujie Zhong, Andrew Zisserman, Weidi Xie:
CounTR: Transformer-based Generalised Visual Counting. CoRR abs/2208.13721 (2022) - [i164]Ragav Sachdeva, Andrew Zisserman:
The Change You Want to See. CoRR abs/2209.14341 (2022) - [i163]Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski:
Compressed Vision for Efficient Video Understanding. CoRR abs/2210.02995 (2022) - [i162]Tengda Han, Weidi Xie, Andrew Zisserman:
Turbo Training with Token Dropout. CoRR abs/2210.04889 (2022) - [i161]Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew Zisserman:
Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors. CoRR abs/2210.07055 (2022) - [i160]Guanqi Zhan, Weidi Xie, Andrew Zisserman:
A Tri-Layer Plugin to Improve Occluded Detection. CoRR abs/2210.10046 (2022) - [i159]Bruno Korbar, Andrew Zisserman:
End-to-end Tracking with a Multi-query Transformer. CoRR abs/2210.14601 (2022) - [i158]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR abs/2211.03726 (2022) - [i157]K. R. Prajwal, Hannah Bull, Liliane Momeni, Samuel Albanie, Gül Varol, Andrew Zisserman:
Weakly-supervised Fingerspelling Recognition in British Sign Language Videos. CoRR abs/2211.08954 (2022) - [i156]Yash Bhalgat, João F. Henriques, Andrew Zisserman:
A Light Touch Approach to Teaching Transformers Multi-view Geometry. CoRR abs/2211.15107 (2022) - 2021
- [j99]Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. Int. J. Comput. Vis. 129(7): 2264-2287 (2021) - [c430]Hala Lamdouar, Weidi Xie, Andrew Zisserman:
Segmenting Invisible Moving Objects. BMVC 2021: 231 - [c429]Triantafyllos Afouras, Honglie Chen, Weidi Xie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Audio-Visual Synchronisation in the wild. BMVC 2021: 261 - [c428]Evangelos Kazakos, Jaesung Huh, Arsha Nagrani, Andrew Zisserman, Dima Damen:
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition. BMVC 2021: 268 - [c427]K. R. Prajwal, Liliane Momeni, Triantafyllos Afouras, Andrew Zisserman:
Visual Keyword Spotting with Attention. BMVC 2021: 380 - [c426]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Temporal Query Networks for Fine-Grained Video Understanding. CVPR 2021: 4486-4496 - [c425]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CVPR 2021: 4507-4515 - [c424]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers. CVPR 2021: 9826-9836 - [c423]Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman:
Co-Attention for Conditioned Image Matching. CVPR 2021: 15920-15929 - [c422]Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman:
Read and Attend: Temporal Localisation in Sign Language Videos. CVPR 2021: 16857-16866 - [c421]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Localizing Visual Sounds the Hard Way. CVPR 2021: 16867-16876 - [c420]Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen:
Slow-Fast Auditory Streams for Audio Recognition. ICASSP 2021: 855-859 - [c419]Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie:
QUERYD: A Video Dataset with High-Quality Text and Audio Narrations. ICASSP 2021: 2265-2269 - [c418]Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Andrew Brown, Chuhan Zhang, Ernesto Coto, Necati Cihan Camgöz, Ben Saunders, Abhishek Dutta, Neil Fox, Richard Bowden, Bencie Woll, Andrew Zisserman:
SeeHear: Signer Diarisation and a New Dataset. ICASSP 2021: 2280-2284 - [c417]Andrew Brown, Jaesung Huh, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Playing a Part: Speaker Verification at the movies. ICASSP 2021: 6174-6178 - [c416]Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman:
Broaden Your Views for Self-Supervised Video Learning. ICCV 2021: 1235-1245 - [c415]Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman:
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. ICCV 2021: 1708-1718 - [c414]Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. ICCV 2021: 7157-7168 - [c413]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. ICCV 2021: 9568-9577 - [c412]Hannah Bull, Triantafyllos Afouras, Gül Varol, Samuel Albanie, Liliane Momeni, Andrew Zisserman:
Aligning Subtitles in Sign Language Videos. ICCV 2021: 11532-11541 - [c411]Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu:
TeachText: CrossModal Generalized Distillation for Text-Video Retrieval. ICCV 2021: 11563-11573 - [c410]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. ICCVW 2021: 1038-1046 - [c409]Andrew Brown, Vicky Kalogeiton, Andrew Zisserman:
Face, Body, Voice: Video Person-Clustering with Multiple Modalities. ICCVW 2021: 3177-3187 - [c408]Abhishek Dutta, Giles Bergel, Andrew Zisserman:
Visual Analysis of Chapbooks Printed in Scotland. HIP@ICDAR 2021: 67-72 - [c407]Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira:
Perceiver: General Perception with Iterative Attention. ICML 2021: 4651-4664 - [c406]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Self-supervised Multi-modal Alignment for Whole Body Medical Imaging. MICCAI (2) 2021: 90-101 - [c405]Andrew Brown, Ernesto Coto, Andrew Zisserman:
Automated Video Labelling: Identifying Faces by Corroborative Evidence. MIPR 2021: 77-83 - [c404]Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. NeurIPS Datasets and Benchmarks 2021 - [i155]Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net++: revisiting people Looking At Each Other in videos. CoRR abs/2101.02136 (2021) - [i154]Andrew Brown, Ernesto Coto, Andrew Zisserman:
Automated Video Labelling: Identifying Faces by Corroborative Evidence. CoRR abs/2102.05645 (2021) - [i153]Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver: General Perception with Iterative Attention. CoRR abs/2103.03206 (2021) - [i152]Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen:
Slow-Fast Auditory Streams For Audio Recognition. CoRR abs/2103.03516 (2021) - [i151]Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman:
Read and Attend: Temporal Localisation in Sign Language Videos. CoRR abs/2103.16481 (2021) - [i150]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers. CoRR abs/2103.16553 (2021) - [i149]Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman:
Broaden Your Views for Self-Supervised Video Learning. CoRR abs/2103.16559 (2021) - [i148]Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman:
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. CoRR abs/2104.00650 (2021) - [i147]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Localizing Visual Sounds the Hard Way. CoRR abs/2104.02691 (2021) - [i146]Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. CoRR abs/2104.07658 (2021) - [i145]Ioana Croitoru, Simion-Vlad Bogolin, Yang Liu, Samuel Albanie, Marius Leordeanu, Hailin Jin, Andrew Zisserman:
TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval. CoRR abs/2104.08271 (2021) - [i144]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Temporal Query Networks for Fine-grained Video Understanding. CoRR abs/2104.09496 (2021) - [i143]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. CoRR abs/2104.14548 (2021) - [i142]Hannah Bull, Triantafyllos Afouras, Gül Varol, Samuel Albanie, Liliane Momeni, Andrew Zisserman:
Aligning Subtitles in Sign Language Videos. CoRR abs/2105.02877 (2021) - [i141]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CoRR abs/2105.06993 (2021) - [i140]Andrew Brown, Vicky Kalogeiton, Andrew Zisserman:
Face, Body, Voice: Video Person-Clustering with Multiple Modalities. CoRR abs/2105.09939 (2021) - [i139]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Comment on Stochastic Polyak Step-Size: Performance of ALI-G. CoRR abs/2105.10011 (2021) - [i138]Relja Arandjelovic, Andrew Zisserman:
NeRF in detail: Learning to sample for view synthesis. CoRR abs/2106.05264 (2021) - [i137]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. CoRR abs/2106.15252 (2021) - [i136]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging. CoRR abs/2107.06652 (2021) - [i135]Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR abs/2107.14795 (2021) - [i134]Yuki Markus Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. CoRR abs/2109.13228 (2021) - [i133]Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Open-Set Recognition: A Good Closed-Set Classifier is All You Need. CoRR abs/2110.06207 (2021) - [i132]K. R. Prajwal, Triantafyllos Afouras, Andrew Zisserman:
Sub-word Level Lip Reading With Visual Attention. CoRR abs/2110.07603 (2021) - [i131]K. R. Prajwal, Liliane Momeni, Triantafyllos Afouras, Andrew Zisserman:
Visual Keyword Spotting with Attention. CoRR abs/2110.15957 (2021) - [i130]Evangelos Kazakos, Jaesung Huh, Arsha Nagrani, Andrew Zisserman, Dima Damen:
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition. CoRR abs/2111.01024 (2021) - [i129]Samuel Albanie, Gül Varol, Liliane Momeni, Hannah Bull, Triantafyllos Afouras, Himel Chowdhury, Neil Fox, Bencie Woll, Rob Cooper, Andrew McParland, Andrew Zisserman:
BBC-Oxford British Sign Language Dataset. CoRR abs/2111.03635 (2021) - [i128]Charig Yang, Weidi Xie, Andrew Zisserman:
It's About Time: Analog Clock Reading in the Wild. CoRR abs/2111.09162 (2021) - [i127]Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman:
Input-level Inductive Biases for 3D Reconstruction. CoRR abs/2112.03243 (2021) - [i126]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Audio-Visual Synchronisation in the wild. CoRR abs/2112.04432 (2021) - [i125]Prannay Kaul, Weidi Xie, Andrew Zisserman:
Label, Verify, Correct: A Simple Few Shot Object Detection Method. CoRR abs/2112.05749 (2021) - [i124]Michael P. J. Camilleri, Li Zhang, Rasneer S. Bains, Andrew Zisserman, Christopher K. I. Williams:
Tracking and Long-Term Identification Using Non-Visual Markers. CoRR abs/2112.06809 (2021) - 2020
- [j98]Arsha Nagrani, Joon Son Chung, Weidi Xie, Andrew Zisserman:
Voxceleb: Large-scale speaker verification in the wild. Comput. Speech Lang. 60 (2020) - [j97]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
Deep Insights into Convolutional Networks for Video Recognition. Int. J. Comput. Vis. 128(2): 420-437 (2020) - [j96]Omkar M. Parkhi, Esa Rahtu, Qiong Cao, Andrew Zisserman:
Automated Video Face Labelling for Films and TV Material. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 780-792 (2020) - [j95]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39(6): 256:1-256:14 (2020) - [c403]Liliane Momeni, Gül Varol, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman:
Watch, Read and Lookup: Learning to Spot Signs from Multiple Supervisors. ACCV (6) 2020: 291-308 - [c402]Max Bain, Arsha Nagrani, Andrew Brown, Andrew Zisserman:
Condensed Movies: Story Based Retrieval with Contextual Embeddings. ACCV (5) 2020: 460-479 - [c401]Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman:
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation. ACCV (2) 2020: 488-503 - [c400]Vicky Kalogeiton, Andrew Zisserman:
Constrained Video Face Clustering using1NN Relations. BMVC 2020 - [c399]Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman:
Seeing wake words: Audio-visual Keyword Spotting. BMVC 2020 - [c398]Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Verification. BMVC 2020 - [c397]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. CVPR Workshops 2020: 3294-3302 - [c396]Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman:
End-to-End Learning of Visual Representations From Uncurated Instructional Videos. CVPR 2020: 9876-9886 - [c395]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. CVPR 2020: 10314-10323 - [c394]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR 2020: 10384-10393 - [c393]Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. CVPR 2020: 10847-10856 - [c392]Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman:
BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues. ECCV (11) 2020: 35-53 - [c391]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Adaptive Text Recognition Through Visual Matching. ECCV (16) 2020: 51-67 - [c390]Necati Cihan Camgöz, Gül Varol, Samuel Albanie, Neil Fox, Richard Bowden, Andrew Zisserman, Kearsy Cormier:
SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop. ECCV Workshops (2) 2020: 179-185 - [c389]Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman:
Self-supervised Learning of Audio-Visual Objects from Video. ECCV (18) 2020: 208-224 - [c388]Yang Liu, Qingchao Chen, Andrew Zisserman:
Amplifying Key Cues for Human-Object-Interaction Detection. ECCV (14) 2020: 248-265 - [c387]Tengda Han, Weidi Xie, Andrew Zisserman:
Memory-Augmented Dense Predictive Coding for Video Representation Learning. ECCV (3) 2020: 312-329 - [c386]Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman:
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval. ECCV (9) 2020: 677-694 - [c385]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
Vggsound: A Large-Scale Audio-Visual Dataset. ICASSP 2020: 721-725 - [c384]A. Sophia Koepke, Olivia Wiles, Yael Moses, Andrew Zisserman:
Sight to Sound: An End-to-End Approach for Visual Piano Transcription. ICASSP 2020: 1838-1842 - [c383]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
ASR is All You Need: Cross-Modal Distillation for Lip Reading. ICASSP 2020: 2143-2147 - [c382]Arsha Nagrani, Joon Son Chung, Samuel Albanie, Andrew Zisserman:
Disentangled Speech Embeddings Using Cross-Modal Self-Supervision. ICASSP 2020: 6829-6833 - [c381]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. ICLR 2020 - [c380]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Training Neural Networks for and by Interpolation. ICML 2020: 799-809 - [c379]Joon Son Chung, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, Andrew Zisserman:
Spot the Conversation: Speaker Diarisation in the Wild. INTERSPEECH 2020: 299-303 - [c378]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
Now You're Speaking My Language: Visual Language Identification. INTERSPEECH 2020: 2402-2406 - [c377]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI. MICCAI (6) 2020: 712-722 - [c376]Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman:
Self-Supervised MultiModal Versatile Networks. NeurIPS 2020 - [c375]Carl Doersch, Ankush Gupta, Andrew Zisserman:
CrossTransformers: spatially-aware few-shot transfer. NeurIPS 2020 - [c374]Tengda Han, Weidi Xie, Andrew Zisserman:
Self-supervised Co-Training for Video Representation Learning. NeurIPS 2020 - [i123]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. CoRR abs/2002.05714 (2020) - [i122]Arsha Nagrani, Joon Son Chung, Samuel Albanie, Andrew Zisserman:
Disentangled Speech Embeddings using Cross-modal Self-supervision. CoRR abs/2002.08742 (2020) - [i121]Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. CoRR abs/2003.05078 (2020) - [i120]Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
Compact Deep Aggregation for Set Retrieval. CoRR abs/2003.11794 (2020) - [i119]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-modal Supervision for Action Recognition. CoRR abs/2003.13594 (2020) - [i118]Robert McCraith, Lukás Neumann, Andrew Zisserman, Andrea Vedaldi:
Monocular Depth Estimation with Self-supervised Instance Adaptation. CoRR abs/2004.05821 (2020) - [i117]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
VGGSound: A Large-scale Audio-Visual Dataset. CoRR abs/2004.14368 (2020) - [i116]Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman:
The AVA-Kinetics Localized Human Actions Video Dataset. CoRR abs/2005.00214 (2020) - [i115]Max Bain, Arsha Nagrani, Andrew Brown, Andrew Zisserman:
Condensed Movies: Story Based Retrieval with Contextual Embeddings. CoRR abs/2005.04208 (2020) - [i114]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. CoRR abs/2006.10039 (2020) - [i113]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR abs/2006.15418 (2020) - [i112]Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman:
Self-Supervised MultiModal Versatile Networks. CoRR abs/2006.16228 (2020) - [i111]Joon Son Chung, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, Andrew Zisserman:
Spot the conversation: speaker diarisation in the wild. CoRR abs/2007.01216 (2020) - [i110]Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRI. CoRR abs/2007.02606 (2020) - [i109]Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman:
D2D: Learning to find good correspondences for image matching and manipulation. CoRR abs/2007.08480 (2020) - [i108]Carl Doersch, Ankush Gupta, Andrew Zisserman:
CrossTransformers: spatially-aware few-shot transfer. CoRR abs/2007.11498 (2020) - [i107]Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman:
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues. CoRR abs/2007.12131 (2020) - [i106]Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman:
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval. CoRR abs/2007.12163 (2020) - [i105]Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao:
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). CoRR abs/2008.00744 (2020) - [i104]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
RareAct: A video dataset of unusual interactions. CoRR abs/2008.01018 (2020) - [i103]Tengda Han, Weidi Xie, Andrew Zisserman:
Memory-augmented Dense Predictive Coding for Video Representation Learning. CoRR abs/2008.01065 (2020) - [i102]Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman:
Self-Supervised Learning of Audio-Visual Objects from Video. CoRR abs/2008.04237 (2020) - [i101]Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Recognition. CoRR abs/2009.00603 (2020) - [i100]Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman:
Seeing wake words: Audio-visual Keyword Spotting. CoRR abs/2009.01225 (2020) - [i99]Chuhan Zhang, Ankush Gupta, Andrew Zisserman:
Adaptive Text Recognition through Visual Matching. CoRR abs/2009.06610 (2020) - [i98]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered Neural Rendering for Retiming People in Video. CoRR abs/2009.07833 (2020) - [i97]Liliane Momeni, Gül Varol, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman:
Watch, read and lookup: learning to spot signs from multiple supervisors. CoRR abs/2010.04002 (2020) - [i96]Tengda Han, Weidi Xie, Andrew Zisserman:
Self-supervised Co-training for Video Representation Learning. CoRR abs/2010.09709 (2020) - [i95]Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, Andrew Zisserman:
A Short Note on the Kinetics-700-2020 Human Action Dataset. CoRR abs/2010.10864 (2020) - [i94]Andrew Brown, Jaesung Huh, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Playing a Part: Speaker Verification at the Movies. CoRR abs/2010.15716 (2020) - [i93]Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie:
QuerYD: A video dataset with high-quality textual and audio narrations. CoRR abs/2011.11071 (2020) - [i92]Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman:
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation. CoRR abs/2011.11630 (2020) - [i91]Arsha Nagrani, Joon Son Chung, Jaesung Huh, Andrew Brown, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A. Reynolds, Andrew Zisserman:
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge. CoRR abs/2012.06867 (2020)
2010 – 2019
- 2019
- [j94]Amir Jamaludin, Joon Son Chung, Andrew Zisserman:
You Said That?: Synthesising Talking Faces from Audio. Int. J. Comput. Vis. 127(11-12): 1767-1779 (2019) - [j93]Olivia Wiles, Andrew Zisserman:
Learning to Predict 3D Surfaces of Sculptures from Single and Multiple Views. Int. J. Comput. Vis. 127(11-12): 1780-1800 (2019) - [j92]Mauricio Villarroel, Sitthichok Chaichulee, João Jorge, Sara Davis, Gabrielle Green, Carlos Arteta, Andrew Zisserman, Kenny McCormick, Peter J. Watkinson, Lionel Tarassenko:
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit. npj Digit. Medicine 2 (2019) - [j91]David F. Fouhey, Abhinav Gupta, Andrew Zisserman:
From Images to 3D Shape Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 93-106 (2019) - [c373]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. BMVC 2019: 152 - [c372]Yang Liu, Samuel Albanie, Arsha Nagrani, Andrew Zisserman:
Use What You Have: Video retrieval using representations from collaborative experts. BMVC 2019: 279 - [c371]Dan Xu, Weidi Xie, Andrew Zisserman:
Geometry-Aware Video Object Detection for Static Cameras. BMVC 2019: 294 - [c370]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. CVPR 2019: 244-253 - [c369]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CVPR 2019: 1801-1810 - [c368]Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. CVPR 2019: 2457-2466 - [c367]Lukás Neumann, Andrew Zisserman, Andrea Vedaldi:
Future Event Prediction: If and When. CVPR Workshops 2019: 2935-2943 - [c366]Anurag Arnab, Carl Doersch, Andrew Zisserman:
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. CVPR 2019: 3395-3404 - [c365]Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net: Revisiting People Looking at Each Other in Videos. CVPR 2019: 3477-3485 - [c364]Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Utterance-level Aggregation for Speaker Recognition in the Wild. ICASSP 2019: 5791-5795 - [c363]Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen:
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition. ICCV 2019: 5491-5500 - [c362]Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman:
Controllable Attention for Structured Layered Video Decomposition. ICCV 2019: 5733-5742 - [c361]Kai Han, Andrea Vedaldi, Andrew Zisserman:
Learning to Discover Novel Visual Categories via Deep Transfer Clustering. ICCV 2019: 8400-8408 - [c360]Max Bain, Arsha Nagrani, Daniel Schofield, Andrew Zisserman:
Count, Crop and Recognise: Fine-Grained Recognition in the Wild. ICCV Workshops 2019: 236-246 - [c359]Tengda Han, Weidi Xie, Andrew Zisserman:
Video Representation Learning by Dense Predictive Coding. ICCV Workshops 2019: 1483-1492 - [c358]Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
Self-Supervised Learning of Class Embeddings from Video. ICCV Workshops 2019: 3019-3027 - [c357]Syed Ammar Abbas, Andrew Zisserman:
A Geometric Approach to Obtain a Bird's Eye View From an Image. ICCV Workshops 2019: 4095-4104 - [c356]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Deep Frank-Wolfe For Neural Network Optimization. ICLR (Poster) 2019 - [c355]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
My Lips Are Concealed: Audio-Visual Speech Enhancement Through Obstructions. INTERSPEECH 2019: 4295-4299 - [c354]Abhishek Dutta, Andrew Zisserman:
The VIA Annotation Software for Images, Audio and Video. ACM Multimedia 2019: 2276-2279 - [c353]Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. NeurIPS 2019: 10723-10733 - [c352]Carl Doersch, Andrew Zisserman:
Sim2real transfer learning for 3D human pose estimation: motion to the rescue. NeurIPS 2019: 12929-12941 - [i90]Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Utterance-level Aggregation For Speaker Recognition In The Wild. CoRR abs/1902.10107 (2019) - [i89]Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
The StreetLearn Environment and Dataset. CoRR abs/1903.01292 (2019) - [i88]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CoRR abs/1904.07846 (2019) - [i87]Abhishek Dutta, Andrew Zisserman:
The VGG Image Annotator (VIA). CoRR abs/1904.10699 (2019) - [i86]Ammar Abbas, Andrew Zisserman:
A Geometric Approach to Obtain a Bird's Eye View from an Image. CoRR abs/1905.02231 (2019) - [i85]Anurag Arnab, Carl Doersch, Andrew Zisserman:
Exploiting temporal context for 3D human pose estimation in the wild. CoRR abs/1905.04266 (2019) - [i84]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. CoRR abs/1905.08845 (2019) - [i83]Relja Arandjelovic, Andrew Zisserman:
Object Discovery with a Copy-Pasting GAN. CoRR abs/1905.11369 (2019) - [i82]Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR abs/1905.13077 (2019) - [i81]Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net: revisiting people Looking At Each Other in videos. CoRR abs/1906.05261 (2019) - [i80]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Training Neural Networks for and by Interpolation. CoRR abs/1906.05661 (2019) - [i79]Tejas D. Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih:
Unsupervised Learning of Object Keypoints for Perception and Control. CoRR abs/1906.11883 (2019) - [i78]Carl Doersch, Andrew Zisserman:
Sim2real transfer learning for 3D pose estimation: motion to the rescue. CoRR abs/1907.02499 (2019) - [i77]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
My lips are concealed: Audio-visual speech enhancement through obstructions. CoRR abs/1907.04975 (2019) - [i76]João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman:
A Short Note on the Kinetics-700 Human Action Dataset. CoRR abs/1907.06987 (2019) - [i75]Yang Liu, Samuel Albanie, Arsha Nagrani, Andrew Zisserman:
Use What You Have: Video Retrieval Using Representations From Collaborative Experts. CoRR abs/1907.13487 (2019) - [i74]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. CoRR abs/1908.05263 (2019) - [i73]Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen:
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition. CoRR abs/1908.08498 (2019) - [i72]Kai Han, Andrea Vedaldi, Andrew Zisserman:
Learning to Discover Novel Visual Categories via Deep Transfer Clustering. CoRR abs/1908.09884 (2019) - [i71]Dan Xu, Weidi Xie, Andrew Zisserman:
Geometry-Aware Video Object Detection for Static Cameras. CoRR abs/1909.03140 (2019) - [i70]Tengda Han, Weidi Xie, Andrew Zisserman:
Video Representation Learning by Dense Predictive Coding. CoRR abs/1909.04656 (2019) - [i69]Max Bain, Arsha Nagrani, Daniel Schofield, Andrew Zisserman:
Count, Crop and Recognise: Fine-Grained Recognition in the Wild. CoRR abs/1909.08950 (2019) - [i68]Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman:
Controllable Attention for Structured Layered Video Decomposition. CoRR abs/1910.11306 (2019) - [i67]Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
Self-supervised learning of class embeddings from video. CoRR abs/1910.12699 (2019) - [i66]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
ASR is all you need: cross-modal distillation for lip reading. CoRR abs/1911.12747 (2019) - [i65]Joon Son Chung, Arsha Nagrani, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A. Reynolds, Andrew Zisserman:
VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge. CoRR abs/1912.02522 (2019) - [i64]Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman:
Synthetic Humans for Action Recognition from Unseen Viewpoints. CoRR abs/1912.04070 (2019) - [i63]Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman:
End-to-End Learning of Visual Representations from Uncurated Instructional Videos. CoRR abs/1912.06430 (2019) - 2018
- [j90]Weidi Xie, J. Alison Noble, Andrew Zisserman:
Microscopy cell counting and detection with fully convolutional regression networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 283-292 (2018) - [j89]Joon Son Chung, Andrew Zisserman:
Learning to lip read words by watching videos. Comput. Vis. Image Underst. 173: 76-85 (2018) - [j88]Nate Crosswhite, Jeffrey Byrne, Chris Stauffer, Omkar M. Parkhi, Qiong Cao, Andrew Zisserman:
Template adaptation for face verification and identification. Image Vis. Comput. 79: 35-48 (2018) - [j87]Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble:
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Anal. 46: 1-14 (2018) - [c351]Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
GhostVLAD for Set-Based Face Recognition. ACCV (2) 2018: 35-50 - [c350]Mitchell Dawson, Andrew Zisserman, Christoffer Nellåker:
From Same Photo: Cheating on Visual Kinship Challenges. ACCV (3) 2018: 654-668 - [c349]Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. ACCV (3) 2018: 669-684 - [c348]Lukás Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, Bernt Schiele:
NightOwls: A Pedestrians at Night Dataset. ACCV (1) 2018: 691-705 - [c347]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Inductive Visual Localisation: Factorised Training for Superior Generalisation. BMVC 2018: 7 - [c346]Weidi Xie, Andrew Zisserman:
Multicolumn Networks for Face Recognition. BMVC 2018: 111 - [c345]A. Sophia Koepke, Olivia Wiles, Andrew Zisserman:
Self-supervised learning of a facial attribute embedding from video. BMVC 2018: 302 - [c344]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What Have We Learned From Deep Representations for Action Recognition? CVPR 2018: 7844-7853 - [c343]Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman:
Learning and Using the Arrow of Time. CVPR 2018: 8052-8060 - [c342]Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching. CVPR 2018: 8427-8436 - [c341]Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Learnable PINs: Cross-modal Embeddings for Person Identity. ECCV (13) 2018: 73-89 - [c340]Olivia Wiles, Andrew Zisserman:
3D Surface Reconstruction by Pointillism. ECCV Workshops (3) 2018: 263-280 - [c339]Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
Compact Deep Aggregation for Set Retrieval. ECCV Workshops (4) 2018: 413-430 - [c338]Relja Arandjelovic, Andrew Zisserman:
Objects that Sound. ECCV (1) 2018: 451-466 - [c337]Mohsan S. Alvi, Andrew Zisserman, Christoffer Nellåker:
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings. ECCV Workshops (1) 2018: 556-572 - [c336]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. ECCV (4) 2018: 680-697 - [c335]Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
X2Face: A Network for Controlling Face Generation Using Images, Audio, and Pose Codes. ECCV (13) 2018: 690-706 - [c334]Weidi Xie, Li Shen, Andrew Zisserman:
Comparator Networks. ECCV (11) 2018: 811-826 - [c333]Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman:
VGGFace2: A Dataset for Recognising Faces across Pose and Age. FG 2018: 67-74 - [c332]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Smooth Loss Functions for Deep Top-k Classification. ICLR (Poster) 2018 - [c331]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Learning to Read by Spelling: Towards Unsupervised Text Recognition. ICVGIP 2018: 33:1-33:10 - [c330]Joon Son Chung, Arsha Nagrani, Andrew Zisserman:
VoxCeleb2: Deep Speaker Recognition. INTERSPEECH 2018: 1086-1090 - [c329]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
The Conversation: Deep Audio-Visual Speech Enhancement. INTERSPEECH 2018: 3244-3248 - [c328]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
Deep Lip Reading: A Comparison of Models and an Online Application. INTERSPEECH 2018: 3514-3518 - [c327]Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman:
Predicting Scoliosis in DXA Scans Using Intermediate Representations. CSI@MICCAI 2018: 15-28 - [c326]Samuel Albanie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild. ACM Multimedia 2018: 292-301 - [c325]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. NeurIPS 2018: 2424-2435 - [i62]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What have we learned from deep representations for action recognition? CoRR abs/1801.01415 (2018) - [i61]Arsha Nagrani, Andrew Zisserman:
From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script. CoRR abs/1801.10442 (2018) - [i60]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Smooth Loss Functions for Deep Top-k Classification. CoRR abs/1802.07595 (2018) - [i59]Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami:
Kickstarting Deep Reinforcement Learning. CoRR abs/1803.03835 (2018) - [i58]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. CoRR abs/1804.00168 (2018) - [i57]Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Seeing Voices and Hearing Faces: Cross-modal biometric matching. CoRR abs/1804.00326 (2018) - [i56]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
The Conversation: Deep Audio-Visual Speech Enhancement. CoRR abs/1804.04121 (2018) - [i55]Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Learnable PINs: Cross-Modal Embeddings for Person Identity. CoRR abs/1805.00833 (2018) - [i54]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. CoRR abs/1806.03863 (2018) - [i53]Joon Son Chung, Arsha Nagrani, Andrew Zisserman:
VoxCeleb2: Deep Speaker Recognition. CoRR abs/1806.05622 (2018) - [i52]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
Deep Lip Reading: a comparison of models and an online application. CoRR abs/1806.06053 (2018) - [i51]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Inductive Visual Localisation: Factorised Training for Superior Generalisation. CoRR abs/1807.08179 (2018) - [i50]Weidi Xie, Andrew Zisserman:
Multicolumn Networks for Face Recognition. CoRR abs/1807.09192 (2018) - [i49]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
A Better Baseline for AVA. CoRR abs/1807.10066 (2018) - [i48]Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
X2Face: A network for controlling face generation by using images, audio, and pose codes. CoRR abs/1807.10550 (2018) - [i47]Weidi Xie, Li Shen, Andrew Zisserman:
Comparator Networks. CoRR abs/1807.11440 (2018) - [i46]João Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman:
A Short Note about Kinetics-600. CoRR abs/1808.01340 (2018) - [i45]Samuel Albanie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild. CoRR abs/1808.05561 (2018) - [i44]Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
Self-supervised learning of a facial attribute embedding from video. CoRR abs/1808.06882 (2018) - [i43]Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
LRS3-TED: a large-scale dataset for visual speech recognition. CoRR abs/1809.00496 (2018) - [i42]Olivia Wiles, Andrew Zisserman:
3D Surface Reconstruction by Pointillism. CoRR abs/1809.02002 (2018) - [i41]Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Deep Audio-Visual Speech Recognition. CoRR abs/1809.02108 (2018) - [i40]Mohsan S. Alvi, Andrew Zisserman, Christoffer Nellåker:
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings. CoRR abs/1809.02169 (2018) - [i39]Mitchell Dawson, Andrew Zisserman, Christoffer Nellåker:
From Same Photo: Cheating on Visual Kinship Challenges. CoRR abs/1809.06200 (2018) - [i38]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Learning to Read by Spelling: Towards Unsupervised Text Recognition. CoRR abs/1809.08675 (2018) - [i37]Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
GhostVLAD for set-based face recognition. CoRR abs/1810.09951 (2018) - [i36]Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. CoRR abs/1811.00472 (2018) - [i35]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Deep Frank-Wolfe For Neural Network Optimization. CoRR abs/1811.07591 (2018) - [i34]Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. CoRR abs/1812.01461 (2018) - [i33]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. CoRR abs/1812.02707 (2018) - 2017
- [j86]Nataraj Jammalamadaka, Andrew Zisserman, C. V. Jawahar:
Human pose search using deep networks. Image Vis. Comput. 59: 31-43 (2017) - [j85]Amir Jamaludin, Timor Kadir, Andrew Zisserman:
SpineNet: Automated classification and evidence visualization in spinal MRIs. Medical Image Anal. 41: 63-73 (2017) - [j84]Kristen Grauman, Erik G. Learned-Miller, Antonio Torralba, Andrew Zisserman:
Guest Editorial: Best of CVPR 2015. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 625-626 (2017) - [j83]Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman:
Interferences in Match Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1797-1810 (2017) - [c324]Mitchell Dawson, Andrew Zisserman, Christoffer Nellåker:
Mining Faces from Biomedical Literature using Deep Learning. BCB 2017: 562-567 - [c323]Joon Son Chung, Amir Jamaludin, Andrew Zisserman:
You said that? BMVC 2017 - [c322]Joon Son Chung, Andrew Zisserman:
Lip Reading in Profile. BMVC 2017 - [c321]Arsha Nagrani, Andrew Zisserman:
From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script. BMVC 2017 - [c320]Olivia Wiles, Andrew Zisserman:
SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes. BMVC 2017 - [c319]Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Lip Reading Sentences in the Wild. CVPR 2017: 3444-3453 - [c318]João Carreira, Andrew Zisserman:
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CVPR 2017: 4724-4733 - [c317]Nate Crosswhite, Jeffrey Byrne, Chris Stauffer, Omkar M. Parkhi, Qiong Cao, Andrew Zisserman:
Template Adaptation for Face Verification and Identification. FG 2017: 1-8 - [c316]Sitthichok Chaichulee, Mauricio Villarroel, João Jorge, Carlos Arteta, Gabrielle Green, Kenny McCormick, Andrew Zisserman, Lionel Tarassenko:
Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring. FG 2017: 266-272 - [c315]Vasileios Belagiannis, Andrew Zisserman:
Recurrent Human Pose Estimation. FG 2017: 468-475 - [c314]Relja Arandjelovic, Andrew Zisserman:
Look, Listen and Learn. ICCV 2017: 609-617 - [c313]Carl Doersch, Andrew Zisserman:
Multi-task Self-Supervised Visual Learning. ICCV 2017: 2070-2079 - [c312]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Detect to Track and Track to Detect. ICCV 2017: 3057-3065 - [c311]Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher:
Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning. ICCV Workshops 2017: 49-55 - [c310]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Trusting SVM for Piecewise Linear CNNs. ICLR (Poster) 2017 - [c309]Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
VoxCeleb: A Large-Scale Speaker Identification Dataset. INTERSPEECH 2017: 2616-2620 - [c308]Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Self-supervised Learning for Spinal MRIs. DLMIA/ML-CDS@MICCAI 2017: 294-302 - [c307]Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. MICCAI (2) 2017: 341-349 - [i32]Joon Son Chung, Amir Jamaludin, Andrew Zisserman:
You said that? CoRR abs/1705.02966 (2017) - [i31]Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman:
The Kinetics Human Action Video Dataset. CoRR abs/1705.06950 (2017) - [i30]João Carreira, Andrew Zisserman:
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CoRR abs/1705.07750 (2017) - [i29]Relja Arandjelovic, Andrew Zisserman:
Look, Listen and Learn. CoRR abs/1705.08168 (2017) - [i28]Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
VoxCeleb: a large-scale speaker identification dataset. CoRR abs/1706.08612 (2017) - [i27]Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. CoRR abs/1707.00665 (2017) - [i26]Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Self-Supervised Learning for Spinal MRIs. CoRR abs/1708.00367 (2017) - [i25]Carl Doersch, Andrew Zisserman:
Multi-task Self-Supervised Visual Learning. CoRR abs/1708.07860 (2017) - [i24]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Detect to Track and Track to Detect. CoRR abs/1710.03958 (2017) - [i23]Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman:
VGGFace2: A dataset for recognising faces across pose and age. CoRR abs/1710.08092 (2017) - [i22]Olivia Wiles, Andrew Zisserman:
SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes. CoRR abs/1711.07888 (2017) - [i21]Relja Arandjelovic, Andrew Zisserman:
Objects that Sound. CoRR abs/1712.06651 (2017) - 2016
- [j82]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Reading Text in the Wild with Convolutional Neural Networks. Int. J. Comput. Vis. 116(1): 1-20 (2016) - [j81]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Detecting overlapping instances in microscopy images using extremal region trees. Medical Image Anal. 27: 3-16 (2016) - [c306]Joon Son Chung, Andrew Zisserman:
Lip Reading in the Wild. ACCV (2) 2016: 87-103 - [c305]Joon Son Chung, Andrew Zisserman:
Out of Time: Automated Lip Sync in the Wild. ACCV Workshops (2) 2016: 251-263 - [c304]Yujie Zhong, Relja Arandjelovic, Andrew Zisserman:
Faces in Places: compound query retrieval. BMVC 2016 - [c303]David F. Fouhey, Abhinav Gupta, Andrew Zisserman:
3D Shape Attributes. CVPR 2016: 1516-1524 - [c302]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Convolutional Two-Stream Network Fusion for Video Action Recognition. CVPR 2016: 1933-1941 - [c301]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Synthetic Data for Text Localisation in Natural Images. CVPR 2016: 2315-2324 - [c300]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Personalizing Human Video Pose Estimation. CVPR 2016: 3063-3072 - [c299]Carlos Arteta, Victor S. Lempitsky, Andrew Zisserman:
Counting in the Wild. ECCV (7) 2016: 483-498 - [c298]Elliot J. Crowley, Andrew Zisserman:
The Art of Detection. ECCV Workshops (1) 2016: 721-737 - [c297]Amir Jamaludin, Timor Kadir, Andrew Zisserman:
SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs. MICCAI (2) 2016: 166-175 - [i20]Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi, Chris Stauffer, Qiong Cao, Andrew Zisserman:
Template Adaptation for Face Verification and Identification. CoRR abs/1603.03958 (2016) - [i19]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Convolutional Two-Stream Network Fusion for Video Action Recognition. CoRR abs/1604.06573 (2016) - [i18]Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Synthetic Data for Text Localisation in Natural Images. CoRR abs/1604.06646 (2016) - [i17]Vasileios Belagiannis, Andrew Zisserman:
Recurrent Human Pose Estimation. CoRR abs/1605.02914 (2016) - [i16]Joon Son Chung, Andrew Zisserman:
Signs in time: Encoding human motion as a temporal image. CoRR abs/1608.02059 (2016) - [i15]Leonard Berrada, Andrew Zisserman, M. Pawan Kumar:
Trusting SVM for Piecewise Linear CNNs. CoRR abs/1611.02185 (2016) - [i14]Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Lip Reading Sentences in the Wild. CoRR abs/1611.05358 (2016) - [i13]Naila Murray, Hervé Jégou, Florent Perronnin, Andrew Zisserman:
Interferences in match kernels. CoRR abs/1611.08194 (2016) - [i12]David F. Fouhey, Abhinav Gupta, Andrew Zisserman:
Understanding Higher-Order Shape via 3D Shape Attributes. CoRR abs/1612.06836 (2016) - 2015
- [j80]Yusuf Aytar, Andrew Zisserman:
Part level transfer regularization for enhancing exemplar SVMs. Comput. Vis. Image Underst. 138: 114-123 (2015) - [j79]Mark Everingham, S. M. Ali Eslami, Luc Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman:
The Pascal Visual Object Classes Challenge: A Retrospective. Int. J. Comput. Vis. 111(1): 98-136 (2015) - [j78]Ken Chatfield, Relja Arandjelovic, Omkar M. Parkhi, Andrew Zisserman:
On-the-fly learning for visual search of large-scale image and video datasets. Int. J. Multim. Inf. Retr. 4(2): 75-93 (2015) - [c296]Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman:
Deep Face Recognition. BMVC 2015: 41.1-41.12 - [c295]Elliot J. Crowley, Omkar M. Parkhi, Andrew Zisserman:
Face Painting: querying art with photos. BMVC 2015: 65.1-65.13 - [c294]Nataraj Jammalamadaka, Andrew Zisserman, C. V. Jawahar:
Human pose search using deep poselets. FG 2015: 1-8 - [c293]Tomas Pfister, James Charles, Andrew Zisserman:
Flowing ConvNets for Human Pose Estimation in Videos. ICCV 2015: 1913-1921 - [c292]Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Automatic Modic Changes Classification in Spinal MRI. CSI@MICCAI 2015: 14-26 - [c291]Amir Jamaludin, Meelis Lootus, Timor Kadir, Andrew Zisserman:
Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach. CSI@MICCAI 2015: 97-103 - [c290]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. NIPS 2015: 2017-2025 - [c289]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Deep Structured Output Learning for Unconstrained Text Recognition. ICLR 2015 - [c288]Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman, Pedro F. Felzenszwalb:
Automatic Discovery and Optimization of Parts for Image Classification. ICLR (Poster) 2015 - [c287]Karen Simonyan, Andrew Zisserman:
Very Deep Convolutional Networks for Large-Scale Image Recognition. ICLR 2015 - [i11]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. CoRR abs/1506.02025 (2015) - [i10]Tomas Pfister, James Charles, Andrew Zisserman:
Flowing ConvNets for Human Pose Estimation in Videos. CoRR abs/1506.02897 (2015) - [i9]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Personalizing Human Video Pose Estimation. CoRR abs/1511.06676 (2015) - 2014
- [j77]Manuel Jesús Marín-Jiménez, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari:
Detecting People Looking at Each Other in Videos. Int. J. Comput. Vis. 106(3): 282-296 (2014) - [j76]James Charles, Tomas Pfister, Mark Everingham, Andrew Zisserman:
Automatic and Efficient Human Pose Estimation for Sign Language Videos. Int. J. Comput. Vis. 110(1): 70-90 (2014) - [j75]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Deblurring Shaken and Partially Saturated Images. Int. J. Comput. Vis. 110(2): 185-201 (2014) - [j74]Amr El-Labban, Andrew Zisserman, Yusuke Toyoda, Alexander W. Bird, Anthony A. Hyman:
Temporal models for mitotic phase labelling. Medical Image Anal. 18(7): 977-988 (2014) - [j73]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Learning Local Feature Descriptors Using Convex Optimisation. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1573-1585 (2014) - [j72]Relja Arandjelovic, Andrew Zisserman:
Extremely Low Bit-Rate Nearest Neighbor Search Using a Set Compression Tree. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2396-2406 (2014) - [c286]Minh Hoai, Andrew Zisserman:
Improving Human Action Recognition Using Score Distribution and Ranking. ACCV (5) 2014: 3-20 - [c285]Ken Chatfield, Karen Simonyan, Andrew Zisserman:
Efficient On-the-fly Category Retrieval Using ConvNets and GPUs. ACCV (1) 2014: 129-145 - [c284]Relja Arandjelovic, Andrew Zisserman:
Visual Vocabulary with a Semantic Twist. ACCV (1) 2014: 178-195 - [c283]Relja Arandjelovic, Andrew Zisserman:
DisLocation: Scalable Descriptor Distinctiveness for Location Recognition. ACCV (4) 2014: 188-204 - [c282]Minh Hoai, Andrew Zisserman:
Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries. ACCV (4) 2014: 222-237 - [c281]Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman:
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. ACCV (1) 2014: 538-552 - [c280]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Upper Body Pose Estimation with Temporal Sequential Forests. BMVC 2014 - [c279]Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Return of the Devil in the Details: Delving Deep into Convolutional Nets. BMVC 2014 - [c278]Elliot Crowley, Andrew Zisserman:
The State of the Art: Object Retrieval in Paintings using Discriminative Regions. BMVC 2014 - [c277]Minh Hoai, Lubor Ladicky, Andrew Zisserman:
Action Recognition From Weak Alignment of Body Parts. BMVC 2014 - [c276]Max Jaderberg, Andrea Vedaldi, Andrew Zisserman:
Speeding up Convolutional Neural Networks with Low Rank Expansions. BMVC 2014 - [c275]Minh Hoai, Andrew Zisserman:
Talking Heads: Detecting Humans and Recognizing Their Interactions. CVPR 2014: 875-882 - [c274]Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
A Compact and Discriminative Face Track Descriptor. CVPR 2014: 1693-1700 - [c273]Lyndsey C. Pickup, Zheng Pan, Donglai Wei, Yi-Chang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Schölkopf, William T. Freeman:
Seeing the Arrow of Time. CVPR 2014: 2043-2050 - [c272]Yusuf Aytar, Andrew Zisserman:
Immediate, Scalable Object Category Detection. CVPR 2014: 2385-2392 - [c271]Hervé Jégou, Andrew Zisserman:
Triangulation Embedding and Democratic Aggregation for Image Search. CVPR 2014: 3310-3317 - [c270]Elliot J. Crowley, Andrew Zisserman:
In Search of Art. ECCV Workshops (1) 2014: 54-70 - [c269]Yusuf Aytar, Andrew Zisserman:
Multi-Task Multi-Sample Learning. ECCV Workshops (3) 2014: 78-91 - [c268]Joon Son Chung, Relja Arandjelovic, Giles Bergel, Alexandra Franklin, Andrew Zisserman:
Re-presentations of Art Collections. ECCV Workshops (1) 2014: 85-100 - [c267]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Interactive Object Counting. ECCV (3) 2014: 504-518 - [c266]Max Jaderberg, Andrea Vedaldi, Andrew Zisserman:
Deep Features for Text Spotting. ECCV (4) 2014: 512-528 - [c265]Tomas Pfister, James Charles, Andrew Zisserman:
Domain-Adaptive Discriminative One-Shot Learning of Gestures. ECCV (6) 2014: 814-829 - [c264]Makarand Tapaswi, Omkar M. Parkhi, Esa Rahtu, Eric Sommerlade, Rainer Stiefelhagen, Andrew Zisserman:
Total Cluster: A person agnostic clustering method for broadcast videos. ICVGIP 2014: 7:1-7:8 - [c263]Karen Simonyan, Andrew Zisserman:
Two-Stream Convolutional Networks for Action Recognition in Videos. NIPS 2014: 568-576 - [c262]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. ICLR (Workshop Poster) 2014 - [p3]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Efficient, blind, spatially-variant deblurring for shaken images. Motion Deblurring 2014: 75-99 - [i8]Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR abs/1405.3531 (2014) - [i7]Max Jaderberg, Andrea Vedaldi, Andrew Zisserman:
Speeding up Convolutional Neural Networks with Low Rank Expansions. CoRR abs/1405.3866 (2014) - [i6]Karen Simonyan, Andrew Zisserman:
Two-Stream Convolutional Networks for Action Recognition in Videos. CoRR abs/1406.2199 (2014) - [i5]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. CoRR abs/1406.2227 (2014) - [i4]Ken Chatfield, Karen Simonyan, Andrew Zisserman:
Efficient On-the-fly Category Retrieval using ConvNets and GPUs. CoRR abs/1407.4764 (2014) - [i3]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Reading Text in the Wild with Convolutional Neural Networks. CoRR abs/1412.1842 (2014) - 2013
- [c261]James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman:
Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts. BMVC 2013 - [c260]Elliot Crowley, Andrew Zisserman:
Of Gods and Goats: Weakly Supervised Learning of Figurative Art. BMVC 2013 - [c259]Tomas Pfister, James Charles, Andrew Zisserman:
Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences). BMVC 2013 - [c258]Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman:
Fisher Vector Faces in the Wild. BMVC 2013 - [c257]Andrew Zisserman:
Towards on-the-fly Large Scale Video Search. BMVC 2013 - [c256]Mayank Juneja, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman:
Blocks That Shout: Distinctive Parts for Scene Classification. CVPR 2013: 923-930 - [c255]Relja Arandjelovic, Andrew Zisserman:
All About VLAD. CVPR 2013: 1578-1585 - [c254]Minh Hoai, Andrew Zisserman:
Discriminative Sub-categorization. CVPR 2013: 1666-1673 - [c253]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Learning to Detect Partially Overlapping Instances. CVPR 2013: 3230-3237 - [c252]Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman:
Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. CVPR 2013: 3578-3585 - [c251]Yuning Chai, Victor S. Lempitsky, Andrew Zisserman:
Symbiotic Segmentation and Part Localization for Fine-Grained Categorization. ICCV 2013: 321-328 - [c250]Amr El-Labban, Carlos Arteta, Andrew Zisserman, Alexander W. Bird, Anthony A. Hyman:
Mitotic phase based detection of chromosome segregation errors in embryonic stem cells. ISBI 2013: 892-895 - [c249]Kevin McGuinness, Noel E. O'Connor, Robin Aly, Franciska de Jong, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Matthijs Douze, Cordelia Schmid:
The AXES PRO video search system. ICMR 2013: 307-308 - [c248]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Deep Fisher Networks for Large-Scale Image Classification. NIPS 2013: 163-171 - [c247]Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman:
The AXES submissions at TRECVID 2013. TRECVID 2013 - 2012
- [j71]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Non-uniform Deblurring for Shaken Images. Int. J. Comput. Vis. 98(2): 168-186 (2012) - [j70]Marcin Eichner, Manuel Jesús Marín-Jiménez, Andrew Zisserman, Vittorio Ferrari:
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images. Int. J. Comput. Vis. 99(2): 190-214 (2012) - [j69]Andrea Vedaldi, Andrew Zisserman:
Efficient Additive Kernels via Explicit Feature Maps. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 480-492 (2012) - [j68]Andrew Zisserman, John M. Winn, Andrew W. Fitzgibbon, Luc Van Gool, Josef Sivic, Christopher K. I. Williams, David C. Hogg:
In Memoriam: Mark Everingham. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2081-2082 (2012) - [j67]Alonso Patron-Perez, Marcin Marszalek, Ian Reid, Andrew Zisserman:
Structured Learning of Human Interactions in TV Shows. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2441-2453 (2012) - [c246]Ken Chatfield, Andrew Zisserman:
VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval. ACCV (2) 2012: 432-446 - [c245]Relja Arandjelovic, Andrew Zisserman:
Multiple queries for large scale specific object retrieval. BMVC 2012: 1-11 - [c244]Yusuf Aytar, Andrew Zisserman:
Enhancing Exemplar SVMs using Part Level Transfer Regularization. BMVC 2012: 1-11 - [c243]Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman:
Latent SVMs for Human Detection with a Locally Affine Deformation Field. BMVC 2012: 1-11 - [c242]Tomas Pfister, James Charles, Mark Everingham, Andrew Zisserman:
Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. BMVC 2012: 1-11 - [c241]Andrea Vedaldi, Andrew Zisserman:
Sparse kernel approximations for efficient classification and detection. CVPR 2012: 2320-2327 - [c240]Relja Arandjelovic, Andrew Zisserman:
Three things everyone should know to improve object retrieval. CVPR 2012: 2911-2918 - [c239]Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman, C. V. Jawahar:
Cats and dogs. CVPR 2012: 3498-3505 - [c238]Andrea Vedaldi, Andrew Zisserman:
Self-similar Sketch. ECCV (2) 2012: 87-100 - [c237]Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari, C. V. Jawahar:
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators. ECCV (3) 2012: 114-128 - [c236]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Descriptor Learning Using Convex Optimisation. ECCV (1) 2012: 243-256 - [c235]Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr:
Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking. ECCV (2) 2012: 245-258 - [c234]Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman:
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. ECCV (1) 2012: 794-807 - [c233]Amr El-Labban, Andrew Zisserman, Yusuke Toyoda, Alexander W. Bird, Anthony A. Hyman:
Discriminative Semi-Markov Models for automated mitotic phase labelling. ISBI 2012: 760-763 - [c232]Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman:
Immediate ROI Search for 3-D Medical Images. MCBR-CDS 2012: 56-67 - [c231]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Learning to Detect Cells Using Non-overlapping Extremal Regions. MICCAI (1) 2012: 348-356 - [c230]Relja Arandjelovic, Andrew Zisserman:
Name that sculpture. ICMR 2012: 3 - [c229]Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari, C. V. Jawahar:
Video retrieval by mimicking poses. ICMR 2012: 34 - [c228]Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid:
AXES at TRECVID 2012: KIS, INS, and MED. TRECVID 2012 - [c227]Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman:
On-the-fly specific person retrieval. WIAMIS 2012: 1-4 - 2011
- [j66]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets. Int. J. Comput. Vis. 95(2): 138-153 (2011) - [j65]Patrick Buehler, Mark Everingham, Daniel P. Huttenlocher, Andrew Zisserman:
Upper Body Detection and Tracking in Extended Signing Sequences. Int. J. Comput. Vis. 95(2): 180-197 (2011) - [j64]Florian Schroff, Antonio Criminisi, Andrew Zisserman:
Harvesting Image Databases from the Web. IEEE Trans. Pattern Anal. Mach. Intell. 33(4): 754-766 (2011) - [c226]Ken Chatfield, Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman:
The devil is in the details: an evaluation of recent feature encoding methods. BMVC 2011: 1-12 - [c225]Manuel J. Marín-Jiménez, Andrew Zisserman, Vittorio Ferrari:
"Here's looking at you, kid". Detecting people looking at each other in videos. BMVC 2011: 1-12 - [c224]Arpit Mittal, Andrew Zisserman, Philip H. S. Torr:
Hand detection using multiple proposals. BMVC 2011: 1-11 - [c223]Sebastian Rahtz, Alexander Dutton, Donna Kurtz, Graham Klyne, Andrew Zisserman, Relja Arandjelovic:
CLAROS - Collaborating on Delivering the Future of the Past. DH 2011: 355-357 - [c222]Relja Arandjelovic, Andrew Zisserman:
Smooth object retrieval using a bag of boundaries. ICCV 2011: 375-382 - [c221]Andrea Vedaldi, Matthew B. Blaschko, Andrew Zisserman:
Learning equivariant structured output SVM regressors. ICCV 2011: 959-966 - [c220]Omkar M. Parkhi, Andrea Vedaldi, C. V. Jawahar, Andrew Zisserman:
The truth about cats and dogs. ICCV 2011: 1427-1434 - [c219]Yusuf Aytar, Andrew Zisserman:
Tabula rasa: Model transfer for object category detection. ICCV 2011: 2252-2259 - [c218]Yuning Chai, Victor S. Lempitsky, Andrew Zisserman:
BiCoS: A Bi-level co-segmentation method for image classification. ICCV 2011: 2579-2586 - [c217]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Deblurring shaken and partially saturated images. ICCV Workshops 2011: 745-752 - [c216]Varun Gulshan, Victor S. Lempitsky, Andrew Zisserman:
Humanising GrabCut: Learning to segment humans using the Kinect. ICCV Workshops 2011: 1127-1133 - [c215]Karen Simonyan, Andrew Zisserman, Antonio Criminisi:
Immediate Structured Visual Search for Medical Images. MICCAI (3) 2011: 288-296 - [c214]Victor S. Lempitsky, Andrea Vedaldi, Andrew Zisserman:
Pylon Model for Semantic Segmentation. NIPS 2011: 1485-1493 - [c213]Kevin McGuinness, Robin Aly, Shu Chen, Mathieu Frappier, Martijn Kleppe, Hyowon Lee, Roeland Ordelman, Relja Arandjelovic, Mayank Juneja, C. V. Jawahar, Andrea Vedaldi, Jochen Schwenninger, Sebastian Tschöpel, Daniel Schneider, Noel E. O'Connor, Andrew Zisserman, Alan F. Smeaton, Henri Beunders:
AXES at TRECVID 2011. TRECVID 2011 - 2010
- [j63]Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John M. Winn, Andrew Zisserman:
The Pascal Visual Object Classes (VOC) Challenge. Int. J. Comput. Vis. 88(2): 303-338 (2010) - [j62]Stefan M. Karlsson, Sylvia C. Pont, Jan J. Koenderink, Andrew Zisserman:
Illuminance Flow Estimation by Regression. Int. J. Comput. Vis. 90(3): 304-312 (2010) - [j61]Maria-Elena Nilsback, Andrew Zisserman:
Delving deeper into the whorl of flower segmentation. Image Vis. Comput. 28(6): 1049-1062 (2010) - [j60]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 530-545 (2010) - [j59]Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman:
Learning Object Categories From Internet Image Searches. Proc. IEEE 98(8): 1453-1466 (2010) - [c212]Relja Arandjelovic, Andrew Zisserman:
Efficient image retrieval for 3D structures. BMVC 2010: 1-11 - [c211]Alonso Patron-Perez, Marcin Marszalek, Andrew Zisserman, Ian Reid:
High Five: Recognising human interactions in TV shows. BMVC 2010: 1-11 - [c210]Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserman, C. V. Jawahar:
Generalized RBF feature maps for Efficient Detection. BMVC 2010: 1-11 - [c209]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Non-uniform deblurring for shaken images. CVPR 2010: 491-498 - [c208]Mukta Prasad, Andrew W. Fitzgibbon, Andrew Zisserman, Luc Van Gool:
Finding nemo: Deformable object class modelling using curve matching. CVPR 2010: 1720-1727 - [c207]Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake, Andrew Zisserman:
Geodesic star convexity for interactive image segmentation. CVPR 2010: 3129-3136 - [c206]Andrea Vedaldi, Andrew Zisserman:
Efficient additive kernels via explicit feature maps. CVPR 2010: 3539-3546 - [c205]Neva Cherniavsky, Ivan Laptev, Josef Sivic, Andrew Zisserman:
Semi-supervised Learning of Facial Attributes in Video. ECCV Workshops (1) 2010: 43-56 - [c204]Alexander Kläser, Marcin Marszalek, Cordelia Schmid, Andrew Zisserman:
Human Focused Action Localization in Video. ECCV Workshops (1) 2010: 219-233 - [c203]James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman:
Descriptor Learning for Efficient Retrieval. ECCV (3) 2010: 677-691 - [c202]Matthew B. Blaschko, Andrea Vedaldi, Andrew Zisserman:
Simultaneous Object Detection and Ranking with Weak Supervision. NIPS 2010: 235-243 - [c201]Victor S. Lempitsky, Andrew Zisserman:
Learning To Count Objects in Images. NIPS 2010: 1324-1332 - [c200]Mayank Juneja, Siddhartha Chandra, Omkar M. Parkhi, C. V. Jawahar, Andrea Vedaldi, Marcin Marszalek, Andrew Zisserman:
Oxford-IIIT TRECVID 2010 - Notebook paper. TRECVID 2010
2000 – 2009
- 2009
- [j58]Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman:
Bayesian Methods for Image Super-Resolution. Comput. J. 52(1): 101-113 (2009) - [j57]Mark Everingham, Josef Sivic, Andrew Zisserman:
Taking the bite out of automated naming of characters in TV video. Image Vis. Comput. 27(5): 545-559 (2009) - [j56]Josef Sivic, Andrew Zisserman:
Efficient Visual Search of Videos Cast as Text Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 591-606 (2009) - [j55]Manik Varma, Andrew Zisserman:
A Statistical Approach to Material Classification Using Image Patch Exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2032-2047 (2009) - [c199]K. Pramod Sankar, C. V. Jawahar, Andrew Zisserman:
Subtitle-free Movie to Script Alignment. BMVC 2009: 1-11 - [c198]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Get Out of my Picture! Internet-based Inpainting. BMVC 2009: 1-11 - [c197]Lyndsey C. Pickup, Andrew Zisserman:
Automatic retrieval of visual continuity errors in movies. CIVR 2009 - [c196]Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
Pose search: Retrieving people using their pose. CVPR 2009: 1-8 - [c195]Josef Sivic, Mark Everingham, Andrew Zisserman:
"Who are you?" - Learning person specific classifiers from video. CVPR 2009: 1145-1152 - [c194]Patrick Buehler, Andrew Zisserman, Mark Everingham:
Learning sign language by watching TV (using weakly aligned subtitles). CVPR 2009: 2961-2968 - [c193]Donna Kurtz, Greg Parker, David M. Shotton, Graham Klyne, Florian Schroff, Andrew Zisserman, Yorick Wilks:
CLAROS - Bringing Classical Art to a Global Public. eScience 2009: 20-27 - [c192]M. Pawan Kumar, Andrew Zisserman, Philip H. S. Torr:
Efficient discriminative learning of parts-based models. ICCV 2009: 552-559 - [c191]Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman:
Multiple kernels for object detection. ICCV 2009: 606-613 - [c190]Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman:
Non-local sparse models for image restoration. ICCV 2009: 2272-2279 - [c189]Ken Chatfield, James Philbin, Andrew Zisserman:
Efficient retrieval of deformable shape classes using local self-similarities. ICCV Workshops 2009: 264-271 - [c188]Bryan C. Russell, Alexei A. Efros, Josef Sivic, Bill Freeman, Andrew Zisserman:
Segmenting Scenes by Matching Image Composites. NIPS 2009: 1580-1588 - [c187]Andrea Vedaldi, Andrew Zisserman:
Structured output regression for detection with partial truncation. NIPS 2009: 1928-1936 - [c186]Sreekanth Vempati, Mihir Jain, Omkar M. Parkhi, C. V. Jawahar, Marcin Marszalek, Andrea Vedaldi, Andrew Zisserman:
Oxford-IIIT TRECVID 2009 Notebook paper. TRECVID 2009 - 2008
- [j54]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
Learning Layered Motion Segmentations of Video. Int. J. Comput. Vis. 76(3): 301-319 (2008) - [j53]Andreas Opelt, Axel Pinz, Andrew Zisserman:
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection. Int. J. Comput. Vis. 80(1): 16-44 (2008) - [j52]Anna Bosch, Andrew Zisserman, Xavier Muñoz:
Scene Classification Using a Hybrid Generative/Discriminative Approach. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 712-727 (2008) - [j51]Josef Sivic, Andrew Zisserman:
Efficient Visual Search for Objects in Videos. Proc. IEEE 96(4): 548-566 (2008) - [c185]Patrick Buehler, Mark Everingham, Daniel P. Huttenlocher, Andrew Zisserman:
Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. BMVC 2008: 1-10 - [c184]Ondrej Chum, James Philbin, Andrew Zisserman:
Near Duplicate Image Detection: min-Hash and tf-idf Weighting. BMVC 2008: 1-10 - [c183]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric LDA: A Generative Model for Particular Object Discovery. BMVC 2008: 1-10 - [c182]Florian Schroff, Antonio Criminisi, Andrew Zisserman:
Object Class Segmentation using Random Forests. BMVC 2008: 1-10 - [c181]James Philbin, Andrew Zisserman:
University of Oxford video retrieval system. CIVR 2008: 565-566 - [c180]Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
Progressive search space reduction for human pose estimation. CVPR 2008 - [c179]Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman:
Discriminative learned dictionaries for local image analysis. CVPR 2008 - [c178]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR 2008 - [c177]Josef Sivic, Bryan C. Russell, Andrew Zisserman, William T. Freeman, Alexei A. Efros:
Unsupervised discovery of visual object class hierarchies. CVPR 2008 - [c176]Vittorio Ferrari, Manuel J. Marín-Jiménez, Andrew Zisserman:
2D Human Pose Estimation in TV Shows. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 128-147 - [c175]Alireza Tavakoli Targhi, Jan-Mark Geusebroek, Andrew Zisserman:
Texture classification with minimal training images. ICPR 2008: 1-4 - [c174]Maria-Elena Nilsback, Andrew Zisserman:
Automated Flower Classification over a Large Number of Classes. ICVGIP 2008: 722-729 - [c173]James Philbin, Andrew Zisserman:
Object Mining Using a Matching Graph on Very Large Image Collections. ICVGIP 2008: 738-745 - [c172]Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman:
Supervised Dictionary Learning. NIPS 2008: 1033-1040 - [c171]James Philbin, Manuel J. Marín-Jiménez, Siddharth Srinivasan, Andrew Zisserman, Mihir Jain, Sreekanth Vempati, K. Pramod Sankar, C. V. Jawahar:
Oxford/IIIT TRECVID 2008 - Notebook paper. TRECVID 2008 - [e11]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5302, Springer 2008, ISBN 978-3-540-88681-5 [contents] - [e10]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5303, Springer 2008, ISBN 978-3-540-88685-3 [contents] - [e9]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part III. Lecture Notes in Computer Science 5304, Springer 2008, ISBN 978-3-540-88689-1 [contents] - [e8]David A. Forsyth, Philip H. S. Torr, Andrew Zisserman:
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part IV. Lecture Notes in Computer Science 5305, Springer 2008, ISBN 978-3-540-88692-1 [contents] - [i2]Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman:
Supervised Dictionary Learning. CoRR abs/0809.3083 (2008) - 2007
- [j50]Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman:
Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize? EURASIP J. Adv. Signal Process. 2007 (2007) - [j49]Robert Fergus, Pietro Perona, Andrew Zisserman:
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. Int. J. Comput. Vis. 71(3): 273-303 (2007) - [j48]Deva Ramanan, David A. Forsyth, Andrew Zisserman:
Tracking People by Learning Their Appearance. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 65-81 (2007) - [c170]Nicholas Apostolof, Andrew Zisserman:
Who Are You? - Real-time Person Identification. BMVC 2007: 1-10 - [c169]Maria-Elena Nilsback, Andrew Zisserman:
Delving into the Whorl of Flower Segmentation. BMVC 2007: 1-10 - [c168]Anna Bosch, Andrew Zisserman, Xavier Muñoz:
Representing shape with a spatial pyramid kernel. CIVR 2007: 401-408 - [c167]Ondrej Chum, James Philbin, Michael Isard, Andrew Zisserman:
Scalable near identical image and shot detection. CIVR 2007: 549-556 - [c166]Ondrej Chum, Andrew Zisserman:
An Exemplar Model for Learning Object Classes. CVPR 2007 - [c165]James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman:
Object retrieval with large vocabularies and fast spatial matching. CVPR 2007 - [c164]Anna Bosch, Andrew Zisserman, Xavier Muñoz:
Image Classification using Random Forests and Ferns. ICCV 2007: 1-8 - [c163]Ondrej Chum, James Philbin, Josef Sivic, Michael Isard, Andrew Zisserman:
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. ICCV 2007: 1-8 - [c162]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
An Invariant Large Margin Nearest Neighbour Classifier. ICCV 2007: 1-8 - [c161]Florian Schroff, Antonio Criminisi, Andrew Zisserman:
Harvesting Image Databases from the Web. ICCV 2007: 1-8 - [c160]Vittorio Ferrari, Andrew Zisserman:
Learning Visual Attributes. NIPS 2007: 433-440 - [c159]James Philbin, Ondrej Chum, Josef Sivic, Vittorio Ferrari, Manuel J. Marín-Jiménez, Anna Bosch, Nicholas Apostolof, Andrew Zisserman:
Oxford TRECVid 2007 \u2013 Notebook paper. TRECVID 2007 - 2006
- [b3]Andrew Harltey, Andrew Zisserman:
Multiple view geometry in computer vision (2. ed.). Cambridge University Press 2006, ISBN 978-0-521-54051-3, pp. I-XVI, 1-655 - [j47]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Object Level Grouping for Video Shots. Int. J. Comput. Vis. 67(2): 189-210 (2006) - [j46]Andrew W. Fitzgibbon, Marc Pollefeys, Luc Van Gool, Andrew Zisserman:
Editorial. Int. J. Comput. Vis. 68(1): 5-6 (2006) - [c158]Andreas Opelt, Andrew Zisserman, Axel Pinz:
Fusing Shape and Appearance Information for Object Category Detection. BMVC 2006: 117-126 - [c157]Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman:
Optimizing and Learning for Super-resolution. BMVC 2006: 439-448 - [c156]Mark Everingham, Josef Sivic, Andrew Zisserman:
Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video. BMVC 2006: 899-908 - [c155]Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48 - [c154]Josef Sivic, Andrew Zisserman:
Video Google: Efficient Visual Search of Videos. Toward Category-Level Object Recognition 2006: 127-144 - [c153]Robert Fergus, Pietro Perona, Andrew Zisserman:
A Sparse Object Category Model for Efficient Learning and Complete Recognition. Toward Category-Level Object Recognition 2006: 443-461 - [c152]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
An Object Category Specific mrffor Segmentation. Toward Category-Level Object Recognition 2006: 596-616 - [c151]Andreas Opelt, Axel Pinz, Andrew Zisserman:
Incremental learning of object detectors using a visual shape alphabet. CVPR (1) 2006: 3-10 - [c150]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
Solving Markov Random Fields using Second Order Cone Programming Relaxations. CVPR (1) 2006: 1045-1052 - [c149]Maria-Elena Nilsback, Andrew Zisserman:
A Visual Vocabulary for Flower Classification. CVPR (2) 2006: 1447-1454 - [c148]Bryan C. Russell, William T. Freeman, Alexei A. Efros, Josef Sivic, Andrew Zisserman:
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections. CVPR (2) 2006: 1605-1614 - [c147]Anna Bosch, Andrew Zisserman, Xavier Muñoz:
Scene Classification Via pLSA. ECCV (4) 2006: 517-530 - [c146]Andreas Opelt, Axel Pinz, Andrew Zisserman:
A Boundary-Fragment-Model for Object Detection. ECCV (2) 2006: 575-588 - [c145]Mark Everingham, Andrew Zisserman:
Regression and Classification Approaches to Eye Localization in Face Images. FGR 2006: 441-448 - [c144]Florian Schroff, Antonio Criminisi, Andrew Zisserman:
Single-Histogram Class Models for Image Segmentation. ICVGIP 2006: 82-93 - [c143]Mukta Prasad, Andrew Zisserman, Andrew W. Fitzgibbon, M. Pawan Kumar, Philip H. S. Torr:
Learning Class-Specific Edges for Object Detection and Segmentation. ICVGIP 2006: 94-105 - [c142]Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman:
Bayesian Image Super-resolution, Continued. NIPS 2006: 1089-1096 - [c141]James Philbin, Anna Bosch, Ondrej Chum, Jan-Mark Geusebroek, Josef Sivic, Andrew Zisserman:
Oxford TRECVID 2006 - Notebook paper. TRECVID 2006 - [e7]Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman:
Toward Category-Level Object Recognition. Lecture Notes in Computer Science 4170, Springer 2006, ISBN 3-540-68794-7 [contents] - [e6]Jitendra Malik, Hanan Samet, Remco C. Veltkamp, Andrew Zisserman:
Content-Based Retrieval, 4.-9. January 2004. Dagstuhl Seminar Proceedings 04021, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 [contents] - 2005
- [j45]Manik Varma, Andrew Zisserman:
A Statistical Approach to Texture Classification from Single Images. Int. J. Comput. Vis. 62(1-2): 61-81 (2005) - [j44]Andrew W. Fitzgibbon, Yonatan Wexler, Andrew Zisserman:
Image-Based Rendering Using Image-Based Priors. Int. J. Comput. Vis. 63(2): 141-151 (2005) - [j43]Krystian Mikolajczyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, Jiri Matas, Frederik Schaffalitzky, Timor Kadir, Luc Van Gool:
A Comparison of Affine Region Detectors. Int. J. Comput. Vis. 65(1-2): 43-72 (2005) - [c140]Josef Sivic, Mark Everingham, Andrew Zisserman:
Person Spotting: Video Shot Retrieval for Face Sets. CIVR 2005: 226-236 - [c139]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
OBJ CUT. CVPR (1) 2005: 18-25 - [c138]Deva Ramanan, David A. Forsyth, Andrew Zisserman:
Strike a Pose: Tracking People by Finding Stylized Poses. CVPR (1) 2005: 271-278 - [c137]Robert Fergus, Pietro Perona, Andrew Zisserman:
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. CVPR (1) 2005: 380-387 - [c136]Ognjen Arandjelovic, Andrew Zisserman:
Automatic Face Recognition for Film Character Retrieval in Feature-Length Films. CVPR (1) 2005: 860-867 - [c135]Deva Ramanan, David A. Forsyth, Andrew Zisserman:
Tracking People and Recognizing Their Activities. CVPR (2) 2005: 1194 - [c134]Angeline M. Loh, Andrew Zisserman:
Estimating the Affine Transformation between Textures. DICTA 2005: 67 - [c133]Mukta Prasad, Andrew W. Fitzgibbon, Andrew Zisserman:
Fast and Controllable 3D Modelling From Silhouettes. Eurographics (Short Presentations) 2005: 9-12 - [c132]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
Learning Layered Motion Segmentation of Video. ICCV 2005: 33-40 - [c131]Josef Sivic, Bryan C. Russell, Alexei A. Efros, Andrew Zisserman, William T. Freeman:
Discovering Objects and their Localization in Images. ICCV 2005: 370-377 - [c130]Mark Everingham, Andrew Zisserman:
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models. ICCV 2005: 1103-1110 - [c129]Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman:
Learning Object Categories from Google's Image Search. ICCV 2005: 1816-1823 - [c128]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - 2004
- [b2]Richard Hartley, Andrew Zisserman:
Multiple View Geometry in Computer Vision. Cambridge University Press 2004, ISBN 9780511811685 - [j42]Magnus Oskarsson, Andrew Zisserman, Kalle Åström:
Minimal projective reconstruction for combinations of points and lines in three views. Image Vis. Comput. 22(10): 777-785 (2004) - [j41]Subhasis Chaudhuri, Andrew Zisserman:
Guest editorial. Image Vis. Comput. 22(14): 1155- (2004) - [j40]Manik Varma, Andrew Zisserman:
Unifying statistical texture classification frameworks. Image Vis. Comput. 22(14): 1175-1183 (2004) - [c127]Adrien Bartoli, Andrew Zisserman:
Direct Estimation of Non-Rigid Registration. BMVC 2004: 1-10 - [c126]Timor Kadir, Richard Bowden, Eng-Jon Ong, Andrew Zisserman:
Minimal Training, Large Lexicon, Unconstrained Sign Language Recognition. BMVC 2004: 1-10 - [c125]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
Extending Pictorial Structures for Object Recognition. BMVC 2004: 1-10 - [c124]Mark Everingham, Andrew Zisserman:
Automated Person Identification in Video. CIVR 2004: 289-298 - [c123]Manik Varma, Andrew Zisserman:
Estimating Illumination Direction from Textured Images. CVPR (1) 2004: 179-186 - [c122]Josef Sivic, Andrew Zisserman:
Video Data Mining Using Configurations of Viewpoint Invariant Regions. CVPR (1) 2004: 488-495 - [c121]Adrien Bartoli, Eugénie von Tunzelmann, Andrew Zisserman:
Augmenting Images of Non-Rigid Scenes Using Point and Curve Correspondences. CVPR (1) 2004: 699-706 - [c120]Krystian Mikolajczyk, Cordelia Schmid, Andrew Zisserman:
Human Detection Based on a Probabilistic Assembly of Robust Part Detectors. ECCV (1) 2004: 69-82 - [c119]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Object Level Grouping for Video Shots. ECCV (2) 2004: 85-98 - [c118]Timor Kadir, Andrew Zisserman, Michael Brady:
An Affine Invariant Salient Region Detector. ECCV (1) 2004: 228-241 - [c117]Robert Fergus, Pietro Perona, Andrew Zisserman:
A Visual Category Filter for Google Images. ECCV (1) 2004: 242-256 - [c116]Richard Bowden, David Windridge, Timor Kadir, Andrew Zisserman, Michael Brady:
A Linguistic Feature Vector for the Visual Interpretation of Sign Language. ECCV (1) 2004: 390-401 - [c115]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Efficient object retrieval from videos. EUSIPCO 2004: 1737-1740 - [c114]Mark Everingham, Andrew Zisserman:
Automated Visual Identification of Characters in Situation Comedies. ICPR (4) 2004: 983-986 - [c113]M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman:
Learning Layered Pictorial Structures from Video. ICVGIP 2004: 158-164 - [c112]Andrew Zisserman:
Trainable Visual Models for Object Class Recognition. ICVGIP 2004: 690 - [c111]Robert Fergus, Andrew Zisserman, Pietro Perona:
Sampling Methods for Unsupervised Learning. NIPS 2004: 433-440 - [c110]Josef Sivic, Andrew Zisserman:
Efficient Visual Content Retrieval and Mining in Videos. PCM (2) 2004: 471-478 - [i1]Jitendra Malik, Hanan Samet, Remco C. Veltkamp, Andrew Zisserman:
04021 Abstracts Collection - Content-Based Retrieval. Content-Based Retrieval 2004 - 2003
- [j39]Frederik Schaffalitzky, Andrew Zisserman:
Automated location matching in movies. Comput. Vis. Image Underst. 92(2-3): 236-264 (2003) - [j38]Guang Jiang, Hung-Tat Tsui, Long Quan, Andrew Zisserman:
Geometry of Single Axis Motions Using Conic Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1343-1348 (2003) - [j37]David P. Capel, Andrew Zisserman:
Computer vision applied to super resolution. IEEE Signal Process. Mag. 20(3): 75-86 (2003) - [c109]Krystian Mikolajczyk, Andrew Zisserman, Cordelia Schmid:
Shape recognition with edge-based features. BMVC 2003: 1-10 - [c108]Andrew W. Fitzgibbon, Andrew Zisserman:
Joint Manifold Distance: a new approach to appearance based clustering. CVPR (1) 2003: 26-36 - [c107]Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisserman:
Learning epipolar geometry from image sequences. CVPR (2) 2003: 209-216 - [c106]Robert Fergus, Pietro Perona, Andrew Zisserman:
Object Class Recognition by Unsupervised Scale-Invariant Learning. CVPR (2) 2003: 264-271 - [c105]Joss Knight, Andrew Zisserman, Ian D. Reid:
Linear Auto-Calibration for Ground Plane Motion. CVPR (1) 2003: 503-510 - [c104]Manik Varma, Andrew Zisserman:
Texture Classification: Are Filter Banks Necessary? CVPR (2) 2003: 691-698 - [c103]Sven Utcke, Andrew Zisserman:
Projective Reconstruction of Surfaces of Revolution. DAGM-Symposium 2003: 265-272 - [c102]Andrew W. Fitzgibbon, Yonatan Wexler, Andrew Zisserman:
Image-based rendering using image-based priors. ICCV 2003: 1176-1183 - [c101]Josef Sivic, Andrew Zisserman:
Video Google: A Text Retrieval Approach to Object Matching in Videos. ICCV 2003: 1470-1477 - [c100]Diego Ortin, J. M. M. Montiel, Andrew Zisserman:
Automated multisensor polyhedral model acquisition. ICRA 2003: 1007-1012 - [c99]Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman:
A Sampled Texture Prior for Image Super-Resolution. NIPS 2003: 1587-1594 - 2002
- [j36]Miguel Ángel González Ballester, Andrew Zisserman, Michael Brady:
Estimation of the partial volume effect in MRI. Medical Image Anal. 6(4): 389-405 (2002) - [c98]Magnus Oskarsson, Andrew Zisserman, Kalle Åström:
Minimal Projective Reconstruction for Combinations of Points and Lines in Three Views. BMVC 2002: 1-10 - [c97]Tomás Werner, Andrew Zisserman:
Model selection for automated reconstruction from multiple views. BMVC 2002: 1-10 - [c96]Frederik Schaffalitzky, Andrew Zisserman:
Automated Scene Matching in Movies. CIVR 2002: 186-197 - [c95]Manik Varma, Andrew Zisserman:
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence. ECCV (3) 2002: 255-271 - [c94]Andrew W. Fitzgibbon, Andrew Zisserman:
On Affine Invariant Clustering and Automatic Cast Listing in Movies. ECCV (3) 2002: 304-320 - [c93]Frederik Schaffalitzky, Andrew Zisserman:
Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?". ECCV (1) 2002: 414-431 - [c92]Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisserman:
Bayesian Estimation of Layers from Multiple Images. ECCV (3) 2002: 487-501 - [c91]Guang Jiang, Hung-Tat Tsui, Long Quan, Andrew Zisserman:
Single Axis Geometry by Fitting Conics. ECCV (1) 2002: 537-550 - [c90]Tomás Werner, Andrew Zisserman:
New Techniques for Automated Architectural Reconstruction from Photographs. ECCV (2) 2002: 541-555 - [c89]Frederik Schaffalitzky, Andrew Zisserman, Tomás Werner, Andrew W. Fitzgibbon:
Automated reconstruction from multiple photographs. ICIP (3) 2002: 517-520 - [c88]Manik Varma, Andrew Zisserman:
Statistical Approaches to Material Classification. ICVGIP 2002 - [c87]Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisserman:
Image-based Environment Matting. Rendering Techniques 2002: 279-290 - [c86]Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisserman:
Image-based environment matting. SIGGRAPH Abstracts and Applications 2002: 198 - [e5]Subhasis Chaudhuri, Andrew Zisserman, Anil K. Jain, Kantilal L. Majumder:
ICVGIP 2002, Proceedings of the Third Indian Conference on Computer Vision, Graphics & Image Processing, Ahmadabad, India, December 16-18, 2002. Allied Publishers Private Limited 2002 [contents] - 2001
- [c85]David P. Capel, Andrew Zisserman:
Super-Resolution from Multiple Views Using Learnt Image Models. CVPR (2) 2001: 627-634 - [c84]Frederik Schaffalitzky, Andrew Zisserman:
Viewpoint Invariant Texture Matching and Wide Baseline Stereo. ICCV 2001: 636-643 - [e4]Marc Pollefeys, Luc Van Gool, Andrew Zisserman, Andrew W. Fitzgibbon:
3D Structure from Images - SMILE 2000, Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments Dublin, Ireland, July 12, 2000, Revised Papers. Lecture Notes in Computer Science 2018, Springer 2001, ISBN 3-540-41845-8 [contents] - 2000
- [j35]Philip H. S. Torr, Andrew Zisserman:
MLESAC: A New Robust Estimator with Application to Estimating Image Geometry. Comput. Vis. Image Underst. 78(1): 138-156 (2000) - [j34]Antonio Criminisi, Ian Reid, Andrew Zisserman:
Single View Metrology. Int. J. Comput. Vis. 40(2): 123-148 (2000) - [j33]Cordelia Schmid, Andrew Zisserman:
The Geometry and Matching of Lines and Curves Over Multiple Views. Int. J. Comput. Vis. 40(3): 199-233 (2000) - [j32]Frederik Schaffalitzky, Andrew Zisserman:
Planar grouping for automatic detection of vanishing lines and points. Image Vis. Comput. 18(9): 647-658 (2000) - [j31]Miguel Ángel González Ballester, Andrew Zisserman, Michael Brady:
Segmentation and measurement of brain structures in MRI including confidence bounds. Medical Image Anal. 4(3): 189-200 (2000) - [c83]Antonio Criminisi, Andrew Zisserman:
Shape from Texture: Homogeneity Revisited. BMVC 2000: 1-10 - [c82]David Demirdjian, Andrew Zisserman, Radu Horaud:
Stereo Autocalibration from One Plane. ECCV (2) 2000: 625-639 - [c81]Frederik Schaffalitzky, Andrew Zisserman, Richard I. Hartley, Philip H. S. Torr:
A Six Point Solution for Structure and Motion. ECCV (1) 2000: 632-648 - [c80]Andrew W. Fitzgibbon, Andrew Zisserman:
Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects. ECCV (1) 2000: 891-906 - [c79]David P. Capel, Andrew Zisserman:
Super-Resolution Enhancement of Text Image Sequences. ICPR 2000: 1600-1605 - [c78]Gilles Simon, Andrew W. Fitzgibbon, Andrew Zisserman:
Markerless tracking using planar structures in the scene. ISAR 2000: 120-128 - [p2]Andrew Zisserman, Andrew W. Fitzgibbon, Caroline Baillard, Geoffrey Cross:
From Images to Virtual and Augmented Reality. Confluence of Computer Vision and Computer Graphics 2000: 1-23 - [p1]Geoffrey Cross, Andrew Zisserman:
Surface Reconstruction from Multiple Views Using Apparent Contours and Surface Texture. Confluence of Computer Vision and Computer Graphics 2000: 25-47 - [e3]Bill Triggs, Andrew Zisserman, Richard Szeliski:
Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms, held during ICCV '99, Corfu, Greece, September 21-22, 1999, Proceedings. Lecture Notes in Computer Science 1883, Springer 2000, ISBN 3-540-67973-1 [contents]
1990 – 1999
- 1999
- [j30]David Liebowitz, Antonio Criminisi, Andrew Zisserman:
Creating Architectural Models from Images. Comput. Graph. Forum 18(3): 39-50 (1999) - [j29]Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman:
The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences. Int. J. Comput. Vis. 32(1): 27-44 (1999) - [j28]Antonio Criminisi, Ian Reid, Andrew Zisserman:
A plane measuring device. Image Vis. Comput. 17(8): 625-634 (1999) - [c77]R. A. Smith, Andrew W. Fitzgibbon, Andrew Zisserman:
Improving Augmented Reality using Image and Scene Constraints. BMVC 1999: 1-10 - [c76]Caroline Baillard, Andrew Zisserman:
Automatic Reconstruction of Piecewise Planar Models from Multiple Views. CVPR 1999: 2559-2565 - [c75]David Liebowitz, Andrew Zisserman:
Combining Scene and Auto-Calibration Constraints. ICCV 1999: 293-300 - [c74]Geoffrey Cross, Andrew W. Fitzgibbon, Andrew Zisserman:
Parallax Geometry of Smooth Surfaces in Multiple Views. ICCV 1999: 323-329 - [c73]Antonio Criminisi, Ian Reid, Andrew Zisserman:
Single View Metrology. ICCV 1999: 434-441 - [c72]Philip H. S. Torr, Andrew Zisserman:
Feature Based Methods for Structure and Motion Estimation. Workshop on Vision Algorithms 1999: 278-294 - [c71]Andrew Zisserman, Andrew W. Fitzgibbon, Geoffrey Cross:
VHS to VRML: 3D Graphical Models from Video Sequences. ICMCS, Vol. 1 1999: 51-57 - [c70]Frederik Schaffalitzky, Andrew Zisserman:
Geometric Grouping of Repeated Elements within Images. Shape, Contour and Grouping in Computer Vision 1999: 165-181 - [c69]Cordelia Schmid, Andrew Zisserman, Roger Mohr:
Integrating Geometric and Photometric Information for Image Retrieval. Shape, Contour and Grouping in Computer Vision 1999: 217-233 - 1998
- [j27]Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank:
Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix. Comput. Vis. Image Underst. 71(3): 312-333 (1998) - [j26]Andrew Zisserman:
Book Review : Epipolar Geometry in Stereo, Motion and Object Recognition - A Unified Approach By Gang Xu and Zhengyou Zhang Published by Kluwer Academic Publishers Group; 1996; 313 pages; US$ 160. Int. J. Robotics Res. 17(8): 903-904 (1998) - [j25]Luc Van Gool, Marc Proesmans, Andrew Zisserman:
Planar homologies as a basis for grouping and recognition. Image Vis. Comput. 16(1): 21-26 (1998) - [c68]Manish Jethwa, Andrew Zisserman, Andrew W. Fitzgibbon:
Real-time Panoramic Mosaics and Augmented Reality. BMVC 1998: 1-11 - [c67]Frederik Schaffalitzky, Andrew Zisserman:
Geometric Grouping of Repeated Elements within Images. BMVC 1998: 1-10 - [c66]David Liebowitz, Andrew Zisserman:
Metric Rectification for Perspective Images of Planes. CVPR 1998: 482-488 - [c65]David P. Capel, Andrew Zisserman:
Automatic Mosaicing with Super-Resolution Zoom. CVPR 1998: 885-891 - [c64]Andrew W. Fitzgibbon, Andrew Zisserman:
Automatic Camera Recovery for Closed or Open Image Sequences. ECCV (1) 1998: 311-326 - [c63]Cordelia Schmid, Andrew Zisserman:
The Geometry and Matching of Curves in Multiple Views. ECCV (1) 1998: 394-409 - [c62]Philip H. S. Torr, Andrew Zisserman:
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor. ECCV (1) 1998: 511-527 - [c61]Antonio Criminisi, Ian D. Reid, Andrew Zisserman:
Duality, Rigidity and Planar Parallax. ECCV (2) 1998: 846-861 - [c60]Andrew W. Fitzgibbon, Andrew Zisserman:
Automatic 3D model acquisition and generation of new images from video sequences. EUSIPCO 1998: 1-8 - [c59]Geoffrey Cross, Andrew Zisserman:
Quadric Surface Reconstruction from Dual-Space Geometry. ICCV 1998: 25-34 - [c58]Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman:
Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure. ICCV 1998: 485-491 - [c57]Philip H. S. Torr, Andrew Zisserman:
Robust Computation and Parametrization of Multiple View Relations. ICCV 1998: 727-732 - [c56]Philip Pritchett, Andrew Zisserman:
Wide Baseline Stereo Matching. ICCV 1998: 754-760 - [c55]Miguel Ángel González Ballester, Andrew Zisserman, Michael Brady:
Measurement of Brain Structures Based on Statistical and Geometrical 3D Segmentation. MICCAI 1998: 499-508 - [c54]Philip Pritchett, Andrew Zisserman:
Matching and Reconstruction from Widely Separated Views. SMILE 1998: 78-92 - [c53]Andrew W. Fitzgibbon, Geoffrey Cross, Andrew Zisserman:
Automatic 3D Model Construction for Turn-Table Sequences. SMILE 1998: 155-170 - 1997
- [j24]G. Sudhir, Subhashis Banerjee, Andrew Zisserman:
Finding Point Correspondences in Motion Sequences Preserving Affine Structure. Comput. Vis. Image Underst. 68(2): 237-246 (1997) - [j23]Luc Van Gool, Andrew Zisserman:
Automatic 3D model building from video sequences. Eur. Trans. Telecommun. 8(4): 369-378 (1997) - [j22]Paul A. Beardsley, Andrew Zisserman, David William Murray:
Sequential Updating of Projective and Affine Structure from Motion. Int. J. Comput. Vis. 23(3): 235-259 (1997) - [j21]Philip H. S. Torr, Andrew Zisserman:
Robust parameterization and computation of the trifocal tensor. Image Vis. Comput. 15(8): 591-605 (1997) - [j20]Philip H. S. Torr, Andrew Zisserman:
Performance characterization of fundamental matrix estimation under image degradation. Mach. Vis. Appl. 9(5/6): 321-333 (1997) - [c52]Antonio Criminisi, Ian Reid, Andrew Zisserman:
A Plane Measuring Device. BMVC 1997 - [c51]Cordelia Schmid, Andrew Zisserman:
Automatic line matching across views. CVPR 1997: 666-671 - 1996
- [j19]Stefan Carlsson, Roger Mohr, Theo Moons, Luce Morin, Charlie Rothwell, Marc Van Diest, Luc Van Gool, Francoise Veillon, Andrew Zisserman:
Semi-local projective invariants for the recognition of smooth plane curves. Int. J. Comput. Vis. 19(3): 211-236 (1996) - [j18]John C. Clarke, Andrew Zisserman:
Detection and tracking of independent motion. Image Vis. Comput. 14(8): 565-572 (1996) - [c50]John C. Clarke, Stefan Carlsson, Andrew Zisserman:
Detecting and Tracking Linear Features Efficiently. BMVC 1996: 1-10 - [c49]Philip H. S. Torr, Andrew Zisserman:
Robust Parameterization and Computation of the Trifocal Tensor. BMVC 1996: 1-10 - [c48]Jean Ponce, Martial Hebert, Andrew Zisserman:
Report on the 1996 International Workshop on Object Representation in Computer Vision. Object Representation in Computer Vision 1996: 1-8 - [c47]Martin Armstrong, Andrew Zisserman, Richard I. Hartley:
Self-Calibration from Image Triplets. ECCV (1) 1996: 3-16 - [c46]Joseph L. Mundy, A. Liu, Nic Pillow, Andrew Zisserman, S. Abdallah, Sven Utcke, Shree K. Nayar, Charlie Rothwell:
An Experimental Comparison of Appearance and Geometric Model Based Recognition. Object Representation in Computer Vision 1996: 247-269 - [c45]Benedicte Bascle, Andrew Blake, Andrew Zisserman:
Motion Deblurring and Super-resolution from an Image Sequence. ECCV (2) 1996: 573-582 - [c44]Ian D. Reid, Andrew Zisserman:
Goal-directed Video Metrology. ECCV (2) 1996: 647-658 - [c43]Paul A. Beardsley, Philip H. S. Torr, Andrew Zisserman:
3D Model Acquisition from Extended Image Sequences. ECCV (2) 1996: 683-695 - [c42]Patrick C. Marais, Régis Guillemaud, M. Sakuma, Andrew Zisserman, Michael Brady:
Visualising Cerebral Asymmetry. VBC 1996: 411-416 - [e2]Jean Ponce, Andrew Zisserman, Martial Hebert:
Object Representation in Computer Vision II, ECCV '96 International Workshop, Cambridge. UK, April 13-14, 1996, Proceedings. Lecture Notes in Computer Science 1144, Springer 1996, ISBN 3-540-61750-7 [contents] - 1995
- [j17]Andrew Zisserman, David A. Forsyth, Joseph L. Mundy, Charlie Rothwell, Jane Liu, Nic Pillow:
3D Object Recognition Using Invariance. Artif. Intell. 78(1-2): 239-288 (1995) - [j16]Charlie Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy:
Planar object recognition using projective shape representation. Int. J. Comput. Vis. 16(1): 57-99 (1995) - [j15]Larry S. Shapiro, Andrew Zisserman, Michael Brady:
3D Motion recovery via affine Epipolar geometry. Int. J. Comput. Vis. 16(2): 147-182 (1995) - [j14]Nic Pillow, Sven Utcke, Andrew Zisserman:
Viewpoint-invariant representation of generalized cylinders using the symmetry set. Image Vis. Comput. 13(5): 355-365 (1995) - [c41]Joseph L. Mundy, Rupert W. Curwen, Jane Liu, Charlie Rothwell, Andrew Zisserman, David A. Forsyth:
MORSE: An Architecture for 3D Object Recognition Based on Invariants. ACCV 1995: 425-434 - [c40]John C. Clarke, Andrew Zisserman:
Detection and Tracking of Independent Motion. BMVC 1995: 1-10 - [c39]Dan Talmage, J. Alison Noble, Andrew Zisserman:
Uncalibrated X-Ray Stereo Reconstruction. BMVC 1995: 1-10 - [c38]Paul A. Beardsley, Ian D. Reid, Andrew Zisserman, David William Murray:
Active Visual Navigation Using Non-Metric Structure. ICCV 1995: 58- - [c37]Andrew Zisserman, Joseph L. Mundy, David A. Forsyth, Jane Liu, Nic Pillow, Charlie Rothwell, Sven Utcke:
Class-Based Grouping in Perspective Images. ICCV 1995: 183-188 - [c36]Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank:
Robust Detection of Degenerate Configurations for the Fundamental Matrix. ICCV 1995: 1037- - 1994
- [j13]Roger Fawcett, Andrew Zisserman, Michael Brady:
Extracting structure from an affine view of a 3D point set with one or two bilateral symmetries. Image Vis. Comput. 12(9): 615-622 (1994) - [c35]Martin Armstrong, Andrew Zisserman, Paul A. Beardsley:
Euclidean Structure from Uncalibrated Images. BMVC 1994: 1-10 - [c34]Nic Pillow, Sven Utcke, Andrew Zisserman:
Viewpoint-Invariant Representation of Generalized Cylinders Using the Symmetry Set. BMVC 1994: 1-10 - [c33]David A. Forsyth, Joe L. Mundy, Andrew Zisserman, Charlie Rothwell:
Using global consistency to recognise Euclidean objects with an uncalibrated camera. CVPR 1994: 502-507 - [c32]Larry S. Shapiro, Andrew Zisserman, Michael Brady:
Motion From Point Matches Using Affine Epipolar Geometry. ECCV (2) 1994: 73-84 - [c31]Paul A. Beardsley, Andrew Zisserman, David William Murray:
Navigation using Affine Structure from Motion. ECCV (2) 1994: 85-96 - [c30]Peter Henry Tu, Andrew Zisserman, Ian A. Mason, Ingemar J. Cox:
Identification of Events from 3D Volumes of Seismic Data. ICIP (3) 1994: 309-313 - [c29]Peter H. Tu, Andrew Zisserman, Ian A. Mason, Ingemar J. Cox:
Extraction of events from 3D volumes of seismic data. ICPR (3) 1994: 128-130 - [c28]David A. Forsyth, Andrew Zisserman, Jitendra Malik:
Distinctive Representations for the Recognition of Curved Surfaces Using Outlines and Markings. Object Representation in Computer Vision 1994: 89-99 - [e1]Joseph L. Mundy, Andrew Zisserman, David A. Forsyth:
Applications of Invariance in Computer Vision, Second Joint European - US Workshop, Ponta Delgada, Azores, Portugal, October 9-14, 1993, Proceedings. Lecture Notes in Computer Science 825, Springer 1994, ISBN 3-540-58240-1 [contents] - 1993
- [j12]Andrew Blake, Rupert W. Curwen, Andrew Zisserman:
A framework for spatiotemporal control in the tracking of visual contours. Int. J. Comput. Vis. 11(2): 127-145 (1993) - [c27]Joseph L. Mundy, Andrew Zisserman, David A. Forsyth:
Introduction and Chapter Summary. Applications of Invariance in Computer Vision 1993: 3-8 - [c26]Andrew Zisserman, Stephen J. Maybank:
A Case Against Epipolar Geometry. Applications of Invariance in Computer Vision 1993: 69-88 - [c25]Joseph L. Mundy, Andrew Zisserman:
Repeated Structures: Image Correspondence Constraints and 3D Structure Recovery. Applications of Invariance in Computer Vision 1993: 89-106 - [c24]Roger Fawcett, Andrew Zisserman, Michael Brady:
Extracting Structure from an Affine View of a 3D Point Set with One or Two Bilateral Symmetries. BMVC 1993: 1-10 - [c23]G. Sudhir, Subhashis Banerjee, Andrew Zisserman:
Finding Point Correspondences in Motion Sequences Preserving Affine Structure. BMVC 1993: 1-10 - [c22]Peter H. Tu, Andrew Zisserman, Ian A. Mason:
Seismic Time Section Analysis Using Machine Vision. BMVC 1993: 1-10 - [c21]Jane Liu, Joe L. Mundy, David A. Forsyth, Andrew Zisserman, Charlie Rothwell:
Efficient recognition of rotationally symmetric surfaces and straight homogeneous generalized cylinders. CVPR 1993: 123-128 - [c20]Andrew Blake, Rupert W. Curwen, Andrew Zisserman:
Affine-invariant contour tracking with automatic control of spatiotemporal scale. ICCV 1993: 66-75 - [c19]Andrew Zisserman, Andrew Blake, Charlie Rothwell, Luc Van Gool, Marc Van Diest:
Eliciting qualitative structure from image curve deformations. ICCV 1993: 340-345 - [c18]Charlie Rothwell, David A. Forsyth, Andrew Zisserman, Joseph L. Mundy:
Extracting projective structure from single perspective views of 3D point sets. ICCV 1993: 573-582 - 1992
- [j11]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman:
Transformational invariance - a primer. Image Vis. Comput. 10(1): 39-45 (1992) - [j10]Charlie Rothwell, Andrew Zisserman, Constantinos Marinos, David A. Forsyth, Joseph L. Mundy:
Relative motion and pose from arbitrary plane curves. Image Vis. Comput. 10(4): 250-262 (1992) - [c17]Sabine Demey, Andrew Zisserman, Paul A. Beardsley:
Affine and Projective Structure from Motion. BMVC 1992: 1-10 - [c16]Charlie Rothwell, Andrew Zisserman, Joe L. Mundy, David A. Forsyth:
Efficient model library access by projectively invariant indexing functions. CVPR 1992: 109-114 - [c15]Paul A. Beardsley, David William Murray, Andrew Zisserman:
Camera Calibration Using Multiple Images. ECCV 1992: 312-320 - [c14]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Charlie Rothwell:
Recognising rotationally symmetric surfaces from their outlines. ECCV 1992: 639-647 - [c13]Charlie Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy:
Canonical Frames for Planar Object Recognition. ECCV 1992: 757-772 - [c12]Rupert W. Curwen, Andrew Blake, Andrew Zisserman:
Real-time Visual Tracking for Surveillance and Path Planning. ECCV 1992: 879-883 - 1991
- [j9]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Christopher M. Brown:
Projectively invariant representations using implicit algebraic curves. Image Vis. Comput. 9(2): 130-136 (1991) - [j8]David A. Forsyth, Andrew Zisserman:
Reflections on Shading. IEEE Trans. Pattern Anal. Mach. Intell. 13(7): 671-679 (1991) - [j7]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Chris Coelho, Aaron Heller, Charlie Rothwell:
Invariant Descriptors for 3D Object Recognition and Pose. IEEE Trans. Pattern Anal. Mach. Intell. 13(10): 971-991 (1991) - [c11]Charlie Rothwell, Andrew Zisserman, David A. Forsyth, Joseph L. Mundy:
Using Projective Invariants for Constant Time Library Indexing in Model Based Vision. BMVC 1991: 1-9 - [c10]Philip H. S. Torr, T. Wong, David William Murray, Andrew Zisserman:
Cooperating Motion Processes. BMVC 1991: 1-6 - 1990
- [j6]David A. Forsyth, Andrew Zisserman:
Shape from shading in the light of mutual illumination. Image Vis. Comput. 8(1): 42-49 (1990) - [c9]Andrew Blake, Roberto Cipolla, Andrew Zisserman:
Towards qualitative vision: motion parallax. BMVC 1990: 1-6 - [c8]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman:
Transformational invariance - a primer. BMVC 1990: 1-6 - [c7]Andrew Zisserman, Constantinos Marinos, David A. Forsyth, Joseph L. Mundy, Charlie Rothwell:
Relative motion and pose from invariants. BMVC 1990: 1-6 - [c6]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Christopher M. Brown:
Projectively Invariant Representations Using Implicit Algebraic Curves. ECCV 1990: 427-436 - [c5]David A. Forsyth, Joseph L. Mundy, Andrew Zisserman, Christopher M. Brown:
Invariance-a new framework for vision. ICCV 1990: 598-605
1980 – 1989
- 1989
- [j5]Andrew Zisserman, Peter J. Giblin, Andrew Blake:
The information available to a moving observer from specularities. Image Vis. Comput. 7(1): 38-42 (1989) - [j4]Guy L. Scott, S. C. Turner, Andrew Zisserman:
Using a mixed wave/ diffusion process to elicit the symmetry set. Image Vis. Comput. 7(1): 63-70 (1989) - [c4]David A. Forsyth, Andrew Zisserman:
Shape from Shading in the Light of Mutual Illumination. Alvey Vision Conference 1989: 1-6 - [c3]David A. Forsyth, Andrew Zisserman:
Mutual illumination. CVPR 1989: 466-473 - 1988
- [c2]Andrew Zisserman, Peter J. Giblin, Andrew Blake:
The Information Available to a Moving Observer from Specularities. Alvey Vision Conference 1988: 1-6 - 1987
- [b1]Andrew Blake, Andrew Zisserman:
Visual Reconstruction. MIT Press 1987, ISBN 0-262-02271-0 - [j3]Philip F. McLauchlan, Andrew Zisserman, Andrew Blake:
Knowledge source for describing stereoscopically viewed textured surfaces. Image Vis. Comput. 5(2): 105-110 (1987) - [j2]Andrew Blake, Andrew Zisserman:
Localising discontinuities using weak continuity constraints. Pattern Recognit. Lett. 6(1): 51-59 (1987) - 1986
- [c1]Andrew Blake, Andrew Zisserman, A. V. Papoulias:
Weak Continuity Constraints Generate Uniform Scale-Space Descriptions of Plane Curves. ECAI 1986: 587-597 - 1985
- [j1]Andrew Blake, Andrew Zisserman, Greg Knowles:
Surface descriptions from stereo and shading. Image Vis. Comput. 3(4): 183-191 (1985)
Coauthor Index
aka: Bill Freeman
aka: Manuel Jesús Marín-Jiménez
aka: Joe L. Mundy
aka: Adrià Recasens Continente
aka: Karén Simonyan
aka: Philip H. S. Torr
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