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Josef Sivic
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2020 – today
- 2024
- [j36]Tomás Soucek
, Jean-Baptiste Alayrac
Multi-Task Learning of Object States and State-Modifying Actions From Web Videos. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5114-5130 (2024) - [j35]Louis Montaut
GJK++: Leveraging Acceleration Methods for Faster Collision Detection. IEEE Trans. Robotics 40: 2564-2581 (2024) - [c103]Tomás Soucek, Dima Damen, Michael Wray, Ivan Laptev, Josef Sivic:
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. CVPR 2024: 6561-6571 - [c102]Anton Bushuiev, Roman Bushuiev, Petr Kouba, Anatolii Filkin, Marketa Gabrielova, Michal Gabriel, Jirí Sedlár, Tomás Pluskal, Jirí Damborský, Stanislav Mazurenko, Josef Sivic:
Learning to design protein-protein interactions with enhanced generalization. ICLR 2024 - [i70]Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR abs/2401.09413 (2024) - [i69]Anton Bushuiev, Roman Bushuiev, Jirí Sedlár
Revealing data leakage in protein interaction benchmarks. CoRR abs/2404.10457 (2024) - [i68]Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Li-Ping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J. J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomás Pluskal:
MassSpecGym: A benchmark for the discovery and identification of molecules. CoRR abs/2410.23326 (2024) - 2023
- [j34]Jirí Sedlár
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. IEEE Robotics Autom. Lett. 8(5): 2788-2795 (2023) - [c101]Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CVPR 2023: 10714-10726 - [c100]Daniel McKee, Justin Salamon, Josef Sivic, Bryan C. Russell:
Language-Guided Music Recommendation for Video via Prompt Analogies. CVPR 2023: 14784-14793 - [c99]Chun-Hsiao Yeh, Bryan C. Russell, Josef Sivic, Fabian Caba Heilbron, Simon Jenni:
Meta-Personalizing Vision-Language Models to Find Named Instances in Video. CVPR 2023: 19123-19132 - [c98]Louis Montaut, Quentin Le Lidec, Antoine Bambade, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Differentiable Collision Detection: a Randomized Smoothing Approach. ICRA 2023: 3240-3246 - [c97]Kateryna Zorina, David Kovár, Florent Lamiraux, Nicolas Mansard, Justin Carpentier, Josef Sivic, Vladimír Petrík:
Multi-Contact Task and Motion Planning Guided by Video Demonstration. ICRA 2023: 3764-3770 - [c96]Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS 2023 - [c95]Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. NeurIPS 2023 - [d1]Daniel McKee
YouTube8M-MusicTextClips. Zenodo, 2023 - [i67]Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CoRR abs/2302.14115 (2023) - [i66]Daniel McKee, Justin Salamon, Josef Sivic, Bryan C. Russell:
Language-Guided Music Recommendation for Video via Prompt Analogies. CoRR abs/2306.09327 (2023) - [i65]Chun-Hsiao Yeh, Bryan C. Russell, Josef Sivic, Fabian Caba Heilbron, Simon Jenni:
Meta-Personalizing Vision-Language Models to Find Named Instances in Video. CoRR abs/2306.10169 (2023) - [i64]Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid:
VidChapters-7M: Video Chapters at Scale. CoRR abs/2309.13952 (2023) - [i63]Anton Bushuiev, Roman Bushuiev, Anatolii Filkin, Petr Kouba
Learning to design protein-protein interactions with enhanced generalization. CoRR abs/2310.18515 (2023) - [i62]Mederic Fourmy, Vojtech Priban, Jan Kristof Behrens, Nicolas Mansard, Josef Sivic, Vladimír Petrík:
Visually Guided Model Predictive Robot Control via 6D Object Pose Localization and Tracking. CoRR abs/2311.05344 (2023) - [i61]Martin Cífka
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2312.02985 (2023) - [i60]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023) - [i59]Tomás Soucek, Dima Damen, Michael Wray
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. CoRR abs/2312.07322 (2023) - 2022
- [j33]Zongmian Li
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. Int. J. Comput. Vis. 130(2): 363-383 (2022) - [j32]Ignacio Rocco
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1020-1034 (2022) - [j31]Carl Toft
Long-Term Visual Localization Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2074-2088 (2022) - [j30]Kateryna Zorina
Learning to Manipulate Tools by Aligning Simulation to Video Demonstration. IEEE Robotics Autom. Lett. 7(1): 438-445 (2022) - [c94]Hugo Cisneros, Tomás Mikolov, Josef Sivic:
Benchmarking Learning Efficiency in Deep Reservoir Computing. CoLLAs 2022: 532-547 - [c93]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRL 2022: 715-725 - [c92]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CVPR 2022: 3815-3824 - [c91]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. CVPR 2022: 13936-13946 - [c90]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CVPR 2022: 16421-16432 - [c89]Antonín Vobecký
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. ECCV (38) 2022: 478-495 - [c88]Vladimír Petrík, Mohammad Nomaan Qureshi, Josef Sivic, Makarand Tapaswi:
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics. IROS 2022: 7375-7382 - [c87]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. NeurIPS 2022 - [c86]Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Collision Detection Accelerated: An Optimization Perspective. Robotics: Science and Systems 2022 - [i58]Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic:
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation. CoRR abs/2203.11160 (2022) - [i57]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. CoRR abs/2203.11637 (2022) - [i56]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
TubeDETR: Spatio-Temporal Video Grounding with Transformers. CoRR abs/2203.16434 (2022) - [i55]Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic:
Focal Length and Object Pose Estimation via Render and Compare. CoRR abs/2204.05145 (2022) - [i54]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Learning to Answer Visual Questions from Web Videos. CoRR abs/2205.05019 (2022) - [i53]Louis Montaut, Quentin Le Lidec, Vladimír Petrík, Josef Sivic, Justin Carpentier:
Collision Detection Accelerated: An Optimization Perspective. CoRR abs/2205.09663 (2022) - [i52]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. CoRR abs/2206.08155 (2022) - [i51]Vladimír Petrík, Mohammad Nomaan Qureshi, Josef Sivic, Makarand Tapaswi:
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics. CoRR abs/2208.01960 (2022) - [i50]Jirí Sedlár
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. CoRR abs/2209.07976 (2022) - [i49]Louis Montaut, Quentin Le Lidec, Antoine Bambade
Differentiable Collision Detection: a Randomized Smoothing Approach. CoRR abs/2209.09012 (2022) - [i48]Hugo Cisneros
Benchmarking Learning Efficiency in Deep Reservoir Computing. CoRR abs/2210.02549 (2022) - [i47]Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic:
Multi-Task Learning of Object State Changes from Uncurated Videos. CoRR abs/2211.13500 (2022) - [i46]Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. CoRR abs/2212.06870 (2022) - 2021
- [j29]Akihiko Torii
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 814-829 (2021) - [j28]Théophile Dalens
Bilinear Image Translation for Temporal Analysis of Photo Collections. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1197-1212 (2021) - [j27]Hajime Taira
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1293-1307 (2021) - [c85]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. AAAI 2021: 2692-2700 - [c84]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-View Robot Pose and Joint Angle Estimation via Render & Compare. CVPR 2021: 1654-1663 - [c83]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 - [c82]Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. ICCV 2021: 1666-1677 - [c81]Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. ICCV 2021: 1825-1835 - [c80]Jaroslav Macke
Learning to Solve Geometric Construction Problems from Images. CICM 2021: 167-184 - [i45]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) - [i44]Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Visualizing computation in large-scale cellular automata. CoRR abs/2104.01008 (2021) - [i43]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Single-view robot pose and joint angle estimation via render & compare. CoRR abs/2104.09359 (2021) - [i42]Jaroslav Macke, Jirí Sedlár, Miroslav Olsák, Josef Urban, Josef Sivic:
Learning to solve geometric construction problems from images. CoRR abs/2106.14195 (2021) - [i41]Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys:
Reconstructing and grounding narrated instructional videos in 3D. CoRR abs/2109.04409 (2021) - [i40]Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. CoRR abs/2110.03562 (2021) - [i39]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. CoRR abs/2111.01591 (2021) - [i38]Kateryna Zorina, Justin Carpentier, Josef Sivic, Vladimír Petrík:
Learning to Manipulate Tools by Aligning Simulation to Video Demonstration. CoRR abs/2111.03088 (2021) - 2020
- [j26]Yann Labbé
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. IEEE Robotics Autom. Lett. 5(2): 3715-3722 (2020) - [c79]Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. CoRL 2020: 296-312 - [c78]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 - [c77]Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic:
Learning Actionness via Long-Range Temporal Order Verification. ECCV (29) 2020: 470-487 - [c76]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation. ECCV (17) 2020: 574-591 - [c75]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. ECCV (9) 2020: 605-621 - [c74]Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Learning to combine primitive skills: A step towards versatile robotic manipulation §. ICRA 2020: 4637-4643 - [c73]Hugo Cisneros
Visualizing computation in large-scale cellular automata. ALIFE 2020: 239-247 - [i37]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. CoRR abs/2004.10566 (2020) - [i36]Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux:
Occlusion resistant learning of intuitive physics from videos. CoRR abs/2005.00069 (2020) - [i35]Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman:
RareAct: A video dataset of unusual interactions. CoRR abs/2008.01018 (2020) - [i34]Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic:
CosyPose: Consistent multi-view multi-object 6D pose estimation. CoRR abs/2008.08465 (2020) - [i33]Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. CoRR abs/2011.06813 (2020) - [i32]Antoine Yang
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. CoRR abs/2012.00451 (2020) - [i31]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. CoRR abs/2012.08274 (2020)
2010 – 2019
- 2019
- [j25]Ignacio Rocco
Convolutional Neural Network Architecture for Geometric Matching. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2553-2567 (2019) - [c72]Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran:
Leveraging the Present to Anticipate the Future in Videos. CVPR Workshops 2019: 2915-2922 - [c71]Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis
Cross-Task Weakly Supervised Learning From Instructional Videos. CVPR 2019: 3537-3545 - [c70]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019: 8092-8101 - [c69]Zongmian Li, Jirí Sedlár
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. CVPR 2019: 8640-8649 - [c68]Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Detecting Unseen Visual Relations Using Analogies. ICCV 2019: 1981-1990 - [c67]Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. ICCV 2019: 2630-2640 - [c66]Hajime Taira, Ignacio Rocco, Jirí Sedlár
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. ICCV 2019: 4372-4382 - [c65]Hugo Cisneros
Evolving Structures in Complex Systems. SSCI 2019: 230-237 - [i30]Radoslav Skoviera, Karla Stépánová, Michael Tesar, Gabriela Sejnova, Jirí Sedlár, Michal Vavrecka, Robert Babuska, Josef Sivic:
Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges? CoRR abs/1901.08335 (2019) - [i29]Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic:
Cross-task weakly supervised learning from instructional videos. CoRR abs/1903.08225 (2019) - [i28]Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video. CoRR abs/1904.02683 (2019) - [i27]Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic:
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. CoRR abs/1904.10348 (2019) - [i26]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. CoRR abs/1905.03561 (2019) - [i25]Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. CoRR abs/1906.03327 (2019) - [i24]Victor Escorcia
Temporal Localization of Moments in Video Collections with Natural Language. CoRR abs/1907.12763 (2019) - [i23]Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Combining learned skills and reinforcement learning for robotic manipulations. CoRR abs/1908.00722 (2019) - [i22]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. CoRR abs/1908.04598 (2019) - [i21]Hugo Cisneros
Evolving Structures in Complex Systems. CoRR abs/1911.01086 (2019) - [i20]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
- [j24]Akihiko Torii
24/7 Place Recognition by View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 257-271 (2018) - [j23]Relja Arandjelovic
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1437-1451 (2018) - [j22]Jean-Baptiste Alayrac
Learning from Narrated Instruction Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2194-2208 (2018) - [c64]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-End Weakly-Supervised Semantic Alignment. CVPR 2018: 6917-6925 - [c63]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys
InLoc: Indoor Visual Localization With Dense Matching and View Synthesis. CVPR 2018: 7199-7209 - [c62]Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR 2018: 8601-8610 - [c61]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. EMNLP 2018: 1380-1390 - [c60]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. NeurIPS 2018: 1658-1669 - [i19]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. CoRR abs/1803.10368 (2018) - [i18]Antoine Miech, Ivan Laptev, Josef Sivic:
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data. CoRR abs/1804.02516 (2018) - [i17]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. CoRR abs/1809.01337 (2018) - [i16]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. CoRR abs/1810.10510 (2018) - [i15]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Detecting rare visual relations using analogies. CoRR abs/1812.05736 (2018) - 2017
- [j21]Katsushi Ikeuchi, Christoph Schnörr, Josef Sivic, René Vidal:
Guest Editorial: Best Papers from ICCV 2015. Int. J. Comput. Vis. 125(1-3): 1-2 (2017) - [c59]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. CVPR 2017: 39-48 - [c58]Rohit Girdhar, Deva Ramanan
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. CVPR 2017: 3165-3174 - [c57]Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? CVPR 2017: 6175-6184 - [c56]Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Joint Discovery of Object States and Manipulation Actions. ICCV 2017: 2146-2155 - [c55]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-Supervised Learning of Visual Relations. ICCV 2017: 5189-5198 - [c54]Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic:
Learning from Video and Text via Large-Scale Discriminative Clustering. ICCV 2017: 5267-5276 - [c53]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Natural Language. ICCV 2017: 5804-5813 - [p3]Mikel Rodriguez, Josef Sivic, Ivan Laptev:
The Analysis of High Density Crowds in Videos. Group and Crowd Behavior for Computer Vision 2017: 89-113 - [i14]Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Joint Discovery of Object States and Manipulating Actions. CoRR abs/1702.02738 (2017) - [i13]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional neural network architecture for geometric matching. CoRR abs/1703.05593 (2017) - [i12]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning spatio-temporal aggregation for action classification. CoRR abs/1704.02895 (2017) - [i11]Antoine Miech, Ivan Laptev, Josef Sivic:
Learnable pooling with Context Gating for video classification. CoRR abs/1706.06905 (2017) - [i10]Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev, Josef Sivic:
Learning from Video and Text via Large-Scale Discriminative Clustering. CoRR abs/1707.09074 (2017) - [i9]Torsten Sattler, Will Maddern, Akihiko Torii, Josef Sivic, Tomás Pajdla, Marc Pollefeys, Masatoshi Okutomi:
Benchmarking 6DOF Urban Visual Localization in Changing Conditions. CoRR abs/1707.09092 (2017) - [i8]Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Weakly-supervised learning of visual relations. CoRR abs/1707.09472 (2017) - [i7]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Natural Language. CoRR abs/1708.01641 (2017) - [i6]Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-end weakly-supervised semantic alignment. CoRR abs/1712.06861 (2017) - 2016
- [j20]Riad I. Hammoud, Josef Sivic, Larry S. Davis, Marc Pollefeys
Guest Editorial: Large Scale Visual Media Geo-Localization. Int. J. Comput. Vis. 116(3): 211-212 (2016) - [j19]Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. Int. J. Comput. Vis. 118(3): 319-336 (2016) - [j18]Ivan Laptev, Deva Ramanan
Guest Editorial: Video Recognition. Int. J. Comput. Vis. 119(3): 217-218 (2016) - [c52]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien:
Unsupervised Learning from Narrated Instruction Videos. CVPR 2016: 4575-4583 - [c51]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. CVPR 2016: 5297-5307 - [p2]Mathieu Aubry, Bryan C. Russell, Josef Sivic:
Visual Geo-localization of Non-photographic Depictions via 2D-3D Alignment. Large-Scale Visual Geo-Localization 2016: 255-275 - 2015
- [j17]Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
What makes Paris look like Paris? Commun. ACM 58(12): 103-110 (2015) - [j16]Guillaume Seguin, Karteek Alahari
Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1643-1655 (2015) - [j15]Akihiko Torii, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
Visual Place Recognition with Repetitive Structures. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2346-2359 (2015) - [c50]Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic:
Is object localization for free? - Weakly-supervised learning with convolutional neural networks. CVPR 2015: 685-694 - [c49]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 place recognition by view synthesis. CVPR 2015: 1808-1817 - [c48]Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic:
On pairwise costs for network flow multi-object tracking. CVPR 2015: 5537-5545 - [c47]Stefan Lee, Nicolas Maisonneuve, David J. Crandall, Alexei A. Efros, Josef Sivic:
Linking Past to Present: Discovering Style in Two Centuries of Architecture. ICCP 2015: 1-10 - [i5]Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal
Learning from narrated instruction videos. CoRR abs/1506.09215 (2015) - [i4]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN architecture for weakly supervised place recognition. CoRR abs/1511.07247 (2015) - 2014
- [b2]Josef Sivic:
Visual search and recognition of objects, scenes and people. École Normale Supérieure, Paris, France, 2014 - [j14]Oliver Whyte
Deblurring Shaken and Partially Saturated Images. Int. J. Comput. Vis. 110(2): 185-201 (2014) - [j13]David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros
People Watching: Human Actions as a Cue for Single View Geometry. Int. J. Comput. Vis. 110(3): 259-274 (2014) - [j12]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. Inf. Media Technol. 9(3): 351-355 (2014) - [j11]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. IPSJ Trans. Comput. Vis. Appl. 6: 58-62 (2014) - [j10]Mathieu Aubry
Painting-to-3D model alignment via discriminative visual elements. ACM Trans. Graph. 33(2): 14:1-14:14 (2014) - [c46]Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic:
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. CVPR 2014: 1717-1724 - [c45]Mathieu Aubry, Daniel Maturana, Alexei A. Efros
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR 2014: 3762-3769 - [c44]Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic:
Predicting Actions from Static Scenes. ECCV (5) 2014: 421-436 - [c43]Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos under Ordering Constraints. ECCV (5) 2014: 628-643 - [p1]Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce:
Efficient, blind, spatially-variant deblurring for shaken images. Motion Deblurring 2014: 75-99 - [i3]Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Weakly Supervised Action Labeling in Videos Under Ordering Constraints. CoRR abs/1407.1208 (2014) - [i2]Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic:
On Pairwise Cost for Multi-Object Network Flow Tracking. CoRR abs/1408.3304 (2014) - [i1]Josef Sivic, Alexei A. Efros:
Urban-Scale Quantitative Visual Analysis. ERCIM News 2014(98) (2014) - 2013
- [c42]Akihiko Torii, Josef Sivic, Tomás Pajdla, Masatoshi Okutomi:
Visual Place Recognition with Repetitive Structures. CVPR 2013: 883-890 - [c41]Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR 2013: 907-914 - [c40]Karteek Alahari
Pose Estimation and Segmentation of People in 3D Movies. ICCV 2013: 2112-2119 - [c39]Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic:
Finding Actors and Actions in Movies. ICCV 2013: 2280-2287 - 2012
- [j9]Oliver Whyte
Non-uniform Deblurring for Shaken Images. Int. J. Comput. Vis. 98(2): 168-186 (2012) - [j8]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) - [j7]Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
What makes Paris look like Paris? ACM Trans. Graph. 31(4): 101:1-101:9 (2012) - [c38]Vincent Delaitre, David F. Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, Alexei A. Efros
Scene Semantics from Long-Term Observation of People. ECCV (6) 2012: 284-298 - [c37]David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros
People Watching: Human Actions as a Cue for Single View Geometry. ECCV (5) 2012: 732-745 - 2011
- [j6]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) - [c36]José Lezama, Karteek Alahari
Track to the future: Spatio-temporal video segmentation with long-range motion cues. CVPR 2011: 3369-3376 - [c35]Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yves Audibert:
Data-driven crowd analysis in videos. ICCV 2011: 1235-1242 - [c34]Mikel Rodriguez, Ivan Laptev, Josef Sivic, Jean-Yves Audibert:
Density-aware person detection and tracking in crowds. ICCV 2011: 2423-2430 - [c33]Akihiko Torii, Josef Sivic, Tomás Pajdla:
Visual localization by linear combination of image descriptors. ICCV Workshops 2011: 102-109 - [c32]Bryan C. Russell, Josef Sivic, Jean Ponce, Helene Dessales:
Automatic alignment of paintings and photographs depicting a 3D scene. ICCV Workshops 2011: 545-552 - [c31]Oliver Whyte
Deblurring shaken and partially saturated images. ICCV Workshops 2011: 745-752 - [c30]Vincent Delaitre, Josef Sivic, Ivan Laptev:
Learning person-object interactions for action recognition in still images. NIPS 2011: 1503-1511 - 2010
- [j5]Biliana Kaneva, Josef Sivic, Antonio Torralba, Shai Avidan, William T. Freeman:
Infinite Images: Creating and Exploring a Large Photorealistic Virtual Space. Proc. IEEE 98(8): 1391-1407 (2010) - [c29]Vincent Delaitre, Ivan Laptev, Josef Sivic:
Recognizing human actions in still images: a study of bag-of-features and part-based representations. BMVC 2010: 1-11 - [c28]Oliver Whyte
Non-uniform deblurring for shaken images. CVPR 2010: 491-498 - [c27]Neva Cherniavsky
Semi-supervised Learning of Facial Attributes in Video. ECCV Workshops (1) 2010: 43-56 - [c26]James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman:
Descriptor Learning for Efficient Retrieval. ECCV (3) 2010: 677-691 - [c25]Jan Knopp, Josef Sivic, Tomás Pajdla:
Avoiding Confusing Features in Place Recognition. ECCV (1) 2010: 748-761
2000 – 2009
- 2009
- [j4]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) - [j3]Josef Sivic, Andrew Zisserman:
Efficient Visual Search of Videos Cast as Text Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 591-606 (2009) - [c24]Oliver Whyte, Josef Sivic, Andrew Zisserman:
Get Out of my Picture! Internet-based Inpainting. BMVC 2009: 1-11 - [c23]Josef Sivic, Mark Everingham, Andrew Zisserman:
"Who are you?" - Learning person specific classifiers from video. CVPR 2009: 1145-1152 - [c22]Olivier Duchenne, Ivan Laptev, Josef Sivic, Francis R. Bach, Jean Ponce:
Automatic annotation of human actions in video. ICCV 2009: 1491-1498 - [c21]Bryan C. Russell, Alexei A. Efros, Josef Sivic, Bill Freeman, Andrew Zisserman:
Segmenting Scenes by Matching Image Composites. NIPS 2009: 1580-1588 - 2008
- [j2]Josef Sivic, Andrew Zisserman:
Efficient Visual Search for Objects in Videos. Proc. IEEE 96(4): 548-566 (2008) - [c20]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric LDA: A Generative Model for Particular Object Discovery. BMVC 2008: 1-10 - [c19]James Philbin, Ondrej Chum
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR 2008 - [c18]Josef Sivic, Biliana Kaneva, Antonio Torralba, Shai Avidan, William T. Freeman:
Creating and exploring a large photorealistic virtual space. CVPR Workshops 2008: 1-8 - [c17]Josef Sivic, Bryan C. Russell, Andrew Zisserman, William T. Freeman, Alexei A. Efros:
Unsupervised discovery of visual object class hierarchies. CVPR 2008 - [c16]Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman:
SIFT Flow: Dense Correspondence across Different Scenes. ECCV (3) 2008: 28-42 - 2007
- [c15]James Philbin, Ondrej Chum
Object retrieval with large vocabularies and fast spatial matching. CVPR 2007 - [c14]Ondrej Chum
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. ICCV 2007: 1-8 - [c13]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
- [b1]Josef Sivic:
Efficient visual search of images videos. University of Oxford, UK, 2006 - [j1]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Object Level Grouping for Video Shots. Int. J. Comput. Vis. 67(2): 189-210 (2006) - [c12]Mark Everingham, Josef Sivic, Andrew Zisserman:
Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video. BMVC 2006: 899-908 - [c11]Josef Sivic, C. Lawrence Zitnick, Richard Szeliski:
Finding People in Repeated Shots of the Same Scene. BMVC 2006: 909-918 - [c10]Josef Sivic, Andrew Zisserman:
Video Google: Efficient Visual Search of Videos. Toward Category-Level Object Recognition 2006: 127-144 - [c9]Bryan C. Russell, William T. Freeman, Alexei A. Efros
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections. CVPR (2) 2006: 1605-1614 - [c8]James Philbin, Anna Bosch, Ondrej Chum, Jan-Mark Geusebroek, Josef Sivic, Andrew Zisserman:
Oxford TRECVID 2006 - Notebook paper. TRECVID 2006 - 2005
- [c7]Josef Sivic, Mark Everingham, Andrew Zisserman:
Person Spotting: Video Shot Retrieval for Face Sets. CIVR 2005: 226-236 - [c6]Josef Sivic, Bryan C. Russell, Alexei A. Efros, Andrew Zisserman, William T. Freeman:
Discovering Objects and their Localization in Images. ICCV 2005: 370-377 - 2004
- [c5]Josef Sivic, Andrew Zisserman:
Video Data Mining Using Configurations of Viewpoint Invariant Regions. CVPR (1) 2004: 488-495 - [c4]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Object Level Grouping for Video Shots. ECCV (2) 2004: 85-98 - [c3]Josef Sivic, Frederik Schaffalitzky, Andrew Zisserman:
Efficient object retrieval from videos. EUSIPCO 2004: 1737-1740 - [c2]Josef Sivic, Andrew Zisserman:
Efficient Visual Content Retrieval and Mining in Videos. PCM (2) 2004: 471-478 - 2003
- [c1]Josef Sivic, Andrew Zisserman:
Video Google: A Text Retrieval Approach to Object Matching in Videos. ICCV 2003: 1470-1477
Coauthor Index
[j36] [c103] [c101] [c95] [i67] [i64] [i59] [j33] [c91] [c90] [c87] [i57] [i56] [i54] [i52] [i47] [c83] [c82] [i45] [i41] [i39] [j26] [c79] [c78] [c77] [c74] [i36] [i35] [i33] [i32] [c72] [c71] [c69] [c68] [c67] [i29] [i28] [i27] [i25] [i23] [i20] [j22] [i18] [i15] [c56] [c55] [c54] [p3] [i14] [i11] [i10] [i8] [j18] [c52] [j16] [c50] [c48] [i5] [j13] [c46] [c44] [c43] [i3] [i2] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c30] [c29] [c27] [c22]
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