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19th VISIGRAPP 2024: Rome, Italy - Volume 2: VISAPP
- Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024. SCITEPRESS 2024, ISBN 978-989-758-679-8
Invited Speakers
- Fahad Khan:
Towards Detailed Understanding of the Visual World. VISIGRAPP 2024: 5 - Mel Slater:
Virtual Reality in Mental Health: A Self-Counselling Approach. VISIGRAPP 2024: 7 - Gerhard Rigoll:
Multi-Modal Human-Machine Interaction: Joint Optimization of Single Modalities and Automatic Learning of Communication Channel Fusion. VISIGRAPP 2024: 9 - Alvitta Ottley:
The Dance of Logic and Unpredictability: Examining the Predictability of User Behavior on Visual Analytics Tasks. 11-20
Image and Video Understanding
- Lorenzo Vorabbi
, Davide Maltoni, Guido Borghi, Stefano Santi:
Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay. 25-36 - Kira Maag
Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation. 37-46 - Gertjan J. Burghouts, Klamer Schutte, Maarten Kruithof, Wyke Huizinga, Frank Ruis, H. Kuijf:
Synthesizing Classifiers from Prior Knowledge. 47-58 - Takato Yoshikawa, Yuki Endo, Yoshihiro Kanamori:
StyleHumanCLIP: Text-Guided Garment Manipulation for StyleGAN-Human. 59-70 - Taiki Sugiura, Toru Tamaki:
S3Aug: Segmentation, Sampling, and Shift for Action Recognition. 71-79 - Vuong D. Nguyen, Samiha Mirza, Pranav Mantini, Shishir Shah:
Attention-Based Shape and Gait Representations Learning for Video-Based Cloth-Changing Person Re-Identification. 80-89 - Niklas Penzel, Gideon Stein, Joachim Denzler:
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. 90-101 - Kohei Fukuda, Takio Kurita, Hiroaki Aizawa:
Important Pixels Sampling for NeRF Training Based on Edge Values and Squared Errors Between the Ground Truth and the Estimated Colors. 102-111 - Kira Maag
Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation. 112-122 - Rasmus Munksø, Mathias Viborg Andersen, Lau Nørgaard, Andreas Møgelmose
Enabling RAW Image Classification Using Existing RGB Classifiers. 123-129 - Yassin Terraf, El Mahdi Mercha, Mohammed Erradi:
Non-Local Context-Aware Attention for Object Detection in Remote Sensing Images. VISIGRAPP (2): VISAPP 2024: 130-138 - Yanis Ouakrim, Hannah Bull, Michèle Gouiffès, Denis Beautemps, Thomas Hueber, Annelies Braffort:
Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research Through an Extensive Video-Text Corpus. 139-148 - Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out. 149-158 - Mahdi Abid, Mathis Teixeira, Ankur Mahtani, Thomas Laurent:
RailCloud-HdF: A Large-Scale Point Cloud Dataset for Railway Scene Semantic Segmentation. 159-170 - Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov:
Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions. 171-181 - Antonio Finocchiaro, Giovanni Maria Farinella, Antonino Furnari:
Calisthenics Skills Temporal Video Segmentation. 182-190 - Afshin Dini
Detecting Anomalies in Textured Images Using Modified Transformer Masked Autoencoder. 191-200 - Yajie Gu, Nick E. Pears:
Parts-Based Implicit 3D Face Modeling. 201-212 - Jinghao Zhang, Zhenhua Feng, Yaochu Jin:
Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration. 213-220 - Attila Szabó, Yevgeniy Puzikov, Sahan Ayvaz, Sonia Aurelio, Peter Gehler, Reza Shirvany, Malte Alf:
Alias-Free GAN for 3D-Aware Image Generation. 221-232 - Ivan Jarsky
Conditional Vector Graphics Generation for Music Cover Images. 233-243 - Yusuke Nonaka, Hideo Saito, Hideaki Uchiyama, Kyota Higa, Masahiro Yamaguchi:
Anomaly Detection on Roads Using an LSTM and Normal Maps. 244-255 - Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden:
Beyond the Known: Adversarial Autoencoders in Novelty Detection. 256-265 - Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. 266-279 - Simon Thomine, Hichem Snoussi:
CSE: Surface Anomaly Detection with Contrastively Selected Embedding. 280-289 - Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan:
Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization. 293-300 - Frankly Toro, Hassane Trigui, Yazeed Alnumay, Siddharth Mishra, Sahejad Patel:
Synthetic Data-Driven Approach for Missing Nut and Bolt Classification in Flange Joints. 301-308 - Jens Møller Rossen, Patrick Søgaard Terp, Norbert Krüger
Classification of Towels in a Robotic Workcell Using Deep Neural Networks. 309-316 - Shogo Takasaki, Shuichi Enokida:
Evaluating Learning Potential with Internal States in Deep Neural Networks. 317-324 - Punyawat Jaroensiripong, Karin Sumongkayothin, Prarinya Siritanawan, Kazunori Kotani:
Cybersecurity Intrusion Detection with Image Classification Model Using Hilbert Curve. 325-332 - Hiroto Murakami, Jialei Chen, Daisuke Deguchi, Takatsugu Hirayama, Yasutomo Kawanishi, Hiroshi Murase:
Pedestrian's Gaze Object Detection in Traffic Scene. 333-340 - Shanxing Ma, Jan Aelterman:
Lens Flare-Aware Detector in Autonomous Driving. VISIGRAPP (2): VISAPP 2024: 341-348 - Pawel Majewski
Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking. 349-356 - Nassim Mokhtari, Alexis Nédélec, Marlène Gilles, Pierre De Loor:
Online Human Activity Recognition Using Efficient Neural Architecture Search with Low Environmental Impact. 357-365 - Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann:
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. 366-374 - Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann:
Deep Active Learning with Noisy Oracle in Object Detection. 375-384 - Igor Prado, David Lima, Julian Liang, Ana Hougaz, Bernardo Peters, Luciano Oliveira:
Multi-Task Learning Based on Log Dynamic Loss Weighting for Sex Classification and Age Estimation on Panoramic Radiographs. 385-392 - Van Thao Nguyen, Dominique Fourer, Désiré Sidibé, Jean-François Lecomte, Souhail Youssef:
A Comparative Evaluation of Self-Supervised Methods Applied to Rock Images Classification. 393-400 - Yuki Utsuro, Hidehiko Shishido, Yoshinari Kameda:
Sumo Action Classification Using Mawashi Keypoints. 401-408 - Luigi Capogrosso
Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection. 409-416 - Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. 417-424 - Kyungsik Lee, Youngmi Jun, Eunji Kim, Suhyun Kim, Seong Jae Hwang, Jonghyun Choi
Kore Initial Clustering for Unsupervised Domain Adaptation. 425-432 - Meng Dong:
Interpretable Anomaly Analysis for Surveillance Video. VISIGRAPP (2): VISAPP 2024: 433-440 - Thales R. S. Lopes, Guilherme Freire Roberto, Carlos Soares, Thaína A. A. Tosta, Adriano Barbosa-Silva, Adriano M. Loyola, Sérgio V. Cardoso, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento, Leandro Alves Neves:
Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images. 441-447 - Joseph Smith, Zheming Zuo
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification. 448-457 - Margarida Victoriano
Comparative Study Between Object Detection Models, for Olive Fruit Fly Identification. 458-465 - Angelo G. Menezes, Augusto J. Peterlevitz, Mateus A. Chinelatto, André C. P. L. F. de Carvalho:
Efficient Parameter Mining and Freezing for Continual Object Detection. 466-474 - Alberto Lee, Kofi Appiah, Sze Chai Kwok:
Body-Part Enabled Wildlife Detection and Tracking in Video Sequences. VISIGRAPP (2): VISAPP 2024: 475-482 - Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper:
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. 483-492 - Moncef Boujou
GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions. 493-500 - Xuehao Liu, Sarah Jane Delany, Susan McKeever:
Applying Prompts and Parameter-Efficient Methods to Enhance Single-Stream Vision-Language Transformers. 501-508 - Chenkai Zhang, Daisuke Deguchi, Jialei Chen, Hiroshi Murase:
Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles. 509-518 - Ryoichi Koga, Mauricio Kugler
Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. 519-527 - Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. 528-535 - Dong Han, Yong Li, Joachim Denzler:
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain. 536-546 - Hisato Hashimoto, Shuichi Enokida:
Relationship Between Semantic Segmentation Model and Additional Features for 3D Point Clouds Obtained from on-Vehicle LIDAR. 547-553 - Vian Abdulmajeed Ahmed, Khaled Jouini, Amel Tuama, Ouajdi Korbaa:
A Fusion Approach for Enhanced Remote Sensing Image Classification. 554-561 - Aditi Palit, Himanshu Dolekar, Kalidas Yeturu:
Agrinet: A Hyperspectral Image Based Precise Crop Classification Model. 562-566 - Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert:
Scale Learning in Scale-Equivariant Convolutional Networks. 567-574 - Kuangdai Leng, Robert Atwood, Winfried Kockelmann, Deniza Chekrygina, Jeyan Thiyagalingam:
Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering. 575-586 - Héctor Laria Mantecon, Kai Wang, Joost van de Weijer, Bogdan Raducanu, Yaxing Wang:
NeRF-Diffusion for 3D-Consistent Face Generation and Editing. 587-594 - George Galanakis, Xenophon Zabulis, Antonis A. Argyros:
Nearest Neighbor-Based Data Denoising for Deep Metric Learning. 595-603 - Soumya A, C. Krishna Mohan, Linga Reddy Cenkeramaddi
High Precision Single Shot Object Detection in Automotive Scenarios. 604-611 - Leonardo de Melo Joao, Matheus Abrantes Cerqueira, Barbara Caroline Benato, Alexandre Xavier Falcão:
Understanding Marker-Based Normalization for FLIM Networks. 612-623 - Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva:
Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. 624-631 - Muhammad Zain Yousuf, Syed Talal Wasim, Syed Nouman Hasany, Muhammad Farhan:
AR-VPT: Simple Auto-Regressive Prompts for Adapting Frozen ViTs to Videos. 632-638 - Wei Wei
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. 639-651 - Luan Wei, Anna Hilsmann, Peter Eisert:
Multi-Task Planar Reconstruction with Feature Warping Guidance. 652-661 - Dinh Cong Nguyen
A Cascade Methodology to Evaluate Black-Box Recognition Systems Based on a Copycat Algorithm. 662-670 - Takahiro Kozaki, Fumihiko Sakaue, Jun Sato:
Generating Videos from Stories Using Conditional GAN. 671-677 - Afshin Dini
Anomaly Detection and Localization for Images of Running Paper Web in Paper Manufacturing. 678-685 - Changqing Fu, Laurent D. Cohen:
Conic Linear Units: Improved Model Fusion and Rotational-Symmetric Generative Model. 686-693 - Harsh Singh Jadon, Jagdish Deshmukh, Kamakshya Prasad Nayak, Kamalakar Vijay Thakare, Debi Prosad Dogra:
Unsupervised Annotation and Detection of Novel Objects Using Known Objectness. 694-701 - Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika:
Large Scale Graph Construction and Label Propagation. 702-709 - Danyang Sun, Fadi Dornaika:
Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity. 710-717 - Dominik Penk, Maik Horn, Christoph Strohmeyer
AbSynth: Using Abstract Image Synthesis for Synthetic Training. 718-729 - Abduljalil Radman, Jorma Laaksonen:
AV-PEA: Parameter-Efficient Adapter for Audio-Visual Multimodal Learning. VISIGRAPP (2): VISAPP 2024: 730-737 - Filippos Gouidis, Konstantinos E. Papoutsakis, Theodore Patkos
Exploring the Impact of Knowledge Graphs on Zero-Shot Visual Object State Classification. 738-749 - Namita Agarwal, Anh-Vu Vo, Michela Bertolotto, Alan Barnett, Ahmed Khalid, Merry Globin:
Effects of Model Drift on Ship Detection Models. 750-754 - Marie Économidès, Pascal Desbarats:
Minimalist CNN for Medical Imaging Classification with Small Dataset: Does Size Really Matter and How? 755-762 - Sukhan Lee, Soojin Lee, Yongjun Yang:
Occlusion-Robust and Efficient 6D Pose Estimation with Scene-Level Segmentation Refinement and 3D Partial-to-6D Full Point Cloud Transformation. 763-771 - Gabriel Santiago-Plaza, Luke Meyers, Andrea Gomez-Jaime, Rafael Meléndez-Ríos, Fanfan Noel, José Agosto, Tugrul Giray, Josué Rodríguez Cordero, Rémi Mégret:
Identification of Honeybees with Paint Codes Using Convolutional Neural Networks. 772-779 - Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah:
Depth Estimation Using Weighted-Loss and Transfer Learning. 780-787 - Rafael Junqueira Martarelli, Douglas Rodrigues, Clayton Reginaldo Pereira, Jurandy Almeida, João Paulo Papa:
Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition. 788-795 - Mamadou Dian Bah, Mohamed Dahmane:
Enhanced Deepfake Detection Using Frequency Domain Upsampling. 796-803 - Justin Bescop, Nicolas Goeman, Amel Aissaoui, Benjamin Allaert, Jean-Philippe Vandeborre:
SMART-RD: Towards a Risk Assessment Framework for Autonomous Railway Driving. 804-811 - Leon Useinov
Image Augmentation for Object Detection and Segmentation with Diffusion Models. 812-820 - Ekta Gavas, Kaustubh Olpadkar, Anoop M. Namboodiri:
Enhancement-Driven Pretraining for Robust Fingerprint Representation Learning. 821-828 - Ivan Nikolov:
Variational Autoencoders for Pedestrian Synthetic Data Augmentation of Existing Datasets: A Preliminary Investigation. 829-836 - Mattias Billast, Tom De Schepper, Kevin Mets:
Unsupervised Domain Adaptation for Human Pose Action Recognition. 837-844 - Devilliers Caleb Dube, Çigdem Eroglu Erdem, Ömer Korçak:
CL-FedFR: Curriculum Learning for Federated Face Recognition. 845-852 - Ivan Orlov
Vehicle Pose Estimation: Exploring Angular Representations. 853-860 - Mauren Louise Sguario Coelho de Andrade, Anderson Paulino Souza, Bruno Oliveira, Maria Clara Starling, Camila Costa Amorim, Jefersson A. dos Santos:
Exploring Unsupervised Domain Adaptation Approaches for Water Parameters Estimation from Satellite Images. 861-868 - Long Nguyen-Phuoc, Rénald Gaboriau, Dimitri Delacroix, Laurent Navarro:
M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment. 869-876
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