Abdullah Hamdi, Faisal AlZahrani, Silvio Giancola, Bernard Ghanem, "MVTN: Learning Multi-view Transformations for 3D Understanding", International Journal of Computer Vision (IJCV 2024)

Jesus Zarzar, Bernard Ghanem, "SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation", Neural Information Processing Systems (NeurIPS2024)

Bing Li, Cheng Zheng, Wenxuan Zhu, Jinjie Mai, Biao Zhang, Peter Wonka, Bernard Ghanem, "Vivid-ZOO: Multi-View Video Generation with Diffusion Model", Neural Information Processing Systems (NeurIPS2024)

Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li, "Can Large Language Model Agents Simulate Human Trust Behavior?", Neural Information Processing Systems (NeurIPS2024)

Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem, "CorDA: Context-Oriented Decomposition Adaptation of Large Language Models", Neural Information Processing Systems (NeurIPS2024)

Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Silvio Giancola, Bernard Ghanem, Luca Passone, Andrea Fratalocchi, "Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding", Nature Communications 2024

Sara Rojas Martinez, Julien Philip, Kai Zhang, Sai Bi, Fujun Luan, Bernard Ghanem, Kalyan Sunkavalli, "DATENeRF: Depth-Aware Text-based Editing of NeRFs", European Conference on Computer Vision (ECCV 2024)

Jinjie Mai, Wenxuan Zhu, Sara Rojas Martinez, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem, "TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks", European Conference on Computer Vision (ECCV 2024)

Carlos Hinojosa, Shuming Liu, Bernard Ghanem, "ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders", European Conference on Computer Vision (ECCV 2024)

Alexandre Eymaël, Renaud Vandeghen, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, "Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders", European Conference on Computer Vision (ECCV 2024)

Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, "On Pretraining Data Diversity for Self-Supervised Learning", European Conference on Computer Vision (ECCV 2024)

Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang, "GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning", European Conference on Computer Vision (ECCV 2024)

Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Yaser Alhuwaider, Merey Ramazanova, Juan Camilo Perez, Zhipeng Cai, Matthias Müller, Bernard Ghanem, "Evaluation of Test-Time Adaptation Under Computational Time Constraints", International Conference on Machine Learning (ICML 2024)

Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem, "Towards Interpretable Local Learning with Successive Gradient Reconciliation", International Conference on Machine Learning (ICML 2024)

Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Devansh Kukreja, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham,Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie, Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik, "Ego4D: Around the World in 3,000 Hours of Egocentric Video", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)

Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi, "GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem, "Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Guler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, "SPAD: Spatially Aware Multiview Diffusers", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Dawit Mureja Argaw, Mattia Soldan, Alejandro Pardo, Chen Zhao, Fabian Caba Heilbron, Joon Son Chung, Bernard Ghanem, "Towards Automated Movie Trailer Generation", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Jhon Edinson Lopez, Carlos Hinojosa, Henry Arguello, Bernard Ghanem, "Privacy-preserving Optics for Enhancing Protection in Face De-identification", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem, "End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou, "Tune-An-Ellipse: CLIP Has Potential to Find What You Want", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris M. Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach A Chavis, Joya Chen, Feng Cheng, FU-JEN CHU, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Kahsay Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Fu Xinzhu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sachal Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid L. Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James Matthew Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray, "Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives", Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny, "Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation", International Conference on Representation Learning (ICLR 2024)

Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem, "Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors", International Conference on Representation Learning (ICLR 2024)

Mengmeng Xu, Mattia Soldan, Jialin Gao, Shuming Liu, Juan-Manuel Perez-Rua, Bernard Ghanem, "Boundary Denoising for Video Activity Localization", International Conference on Representation Learning (ICLR 2024)

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller, "SimCS: Simulation for Domain Incremental Online Continual Segmentation", AAAI Conference on Artificial Intelligence (AAAI 2024)

Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang, "Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)

Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem, "Image Pretrained Standard Transformers for 3D Point Cloud Understanding", International Conference on 3D Vision (3DV 2024)

Juan Leon, Yazeed Alnumay, Cheng Zheng, Sahejad Patel, Hassane Trigui, Bernard Ghanem, "Automatic Analog Gauge Reading from synthetic data", Winter Conference on Applications of Computer Vision (WACV 2024)

Juan Perez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbelaez, Bernard Ghanem, Ali Thabet, Albert Pumarola, "StyleAvatar: Stylizing Animatable Head Avatars", Winter Conference on Applications of Computer Vision (WACV 2024)

Asma Yamani, Albandari Abdullah, Hamzah Luqman, Bernard Ghanem, Silvio Giancola, "Active Learning for Single-Stage Object Detection in UAV Images", Winter Conference on Applications of Computer Vision (WACV 2024)

Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem, "Dynamically Masked Discriminator for GANs", Neural Information Processing Systems (NeurIPS2023)

Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem, "CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society", Neural Information Processing Systems (NeurIPS2023)

Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber, "Mindstorms in Natural Language-Based Societies of Mind", R0-FoMo: NeurIPS 2023 workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models [Best Paper Award]

Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem, "EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries", International Conference on Computer Vision (ICCV 2023) [Oral]

Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber, "Learning to Identify Critical States for Reinforcement Learning from Videos", International Conference on Computer Vision (ICCV 2023)

Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang, "A Unified Continual Learning Framework with General Parameter-Efficient Tuning", International Conference on Computer Vision (ICCV 2023)

Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip Torr, Adel Bibi, Bernard Ghanem, "Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?", International Conference on Computer Vision (ICCV 2023)

Wenpeng Xiao, Wentao Liu, Yitong Wang, Bernard Ghanem, Bing Li, "Automatic Animation of Hair Blowing in Still Portrait Photos", International Conference on Computer Vision (ICCV 2023)

Sara Rojas Martinez, Jesus Zarzar, Juan Perez, Ali Thabet, Artsiom Sanakoyeu, Albert Pumarola, Bernard Ghanem, "Re-ReND: Real-time Rendering of NeRFs across Devices", International Conference on Computer Vision (ICCV 2023)

Wayner Barrios, Mattia Soldan, Fabian Caba, Alberto Mario Ceballos-Arroyo, Bernard Ghanem, "Localizing Moments in Long Video Via Multimodal Guidance", International Conference on Computer Vision (ICCV 2023)

Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang, "FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model", International Conference on Computer Vision (ICCV 2023)

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Culatana, "Exploring Open-Vocabulary Semantic Segmentation without Human Labels", International Conference on Computer Vision (ICCV 2023)

Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem, "Generalizability of Adversarial Robustness Under Distribution Shifts", Transactions on Machine Learning Research (TMLR 2023)

Guohao Li*, Chenxin Xiong*, Guocheng Qian, Ali Thabet, Bernard Ghanem, "DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)

Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu, "How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers", Robotics: Science and Systems (RSS 2023)

Haoqian Wu, Keyu Chen, Haozhe Liu, Mingchen Zhuge, Bing Li, Ruizhi Qiao, Xiujun Shu, Bei Gan, Liangsheng Xu, Bo Ren, Mengmeng Xu, Wentian Zhang, Raghavendra Ramachandra, Chia-Wen Lin, Bernard Ghanem, "NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation", Computer Vision and Pattern Recognition (CVPR 2023)

Mengmeng Xu, Yanghao Li, Cheng-Yang Fu, Bernard Ghanem, Tao Xiang, Juan-Manuel Perez-Rua, "Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization", Computer Vision and Pattern Recognition (CVPR 2023)

Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang, "Large-capacity and Flexible Video Steganography via Invertible Neural Network", Computer Vision and Pattern Recognition (CVPR 2023)

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem, "Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization", Computer Vision and Pattern Recognition (CVPR 2023)

Yasir Mohammed Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip Torr, Bernard Ghanem, "Real-Time Evaluation in Online Continual Learning: A New Hope", Computer Vision and Pattern Recognition (CVPR 2023)

Ameya Prabhu*, Hasan Abed Al Kader Hammoud*, Puneet K. Dokania, Philip Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi, "Computationally Budgeted Continual Learning: What Does Matter?", Computer Vision and Pattern Recognition (CVPR 2023)

Andrés Villa, Juan C Leon Alcazar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian David Caba Heilborn, Alvaro Soto, Bernard Ghanem, "PIVOT: Prompting for Video Continual Learning", Computer Vision and Pattern Recognition (CVPR 2023)

Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng, "AdaptiveMix: Robust Feature Representation via Shrinking Feature Space", Computer Vision and Pattern Recognition (CVPR 2023)

Jan Held, Anthony Cioppa, Silvio Giancola, Abdullah Hamdi, Bernard Ghanem, Marc Van Droogenbroeck, “VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views”, CVSports Workshop (CVPRW 2023)

Hassan Mkhallati, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, “SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries”, CVSports Workshop (CVPRW 2023)

Silvio Giancola, Anthony Cioppa, Julia Giorgieva, Johsan Billingham, Andreas Serner, Kerry Peek, Bernard Ghanem, Marc Van Droogenbroeck, “Towards Active Learning for Action Spotting in Association Football Videos”, CVSports Workshop (CVPRW 2023)

Hasan Abed Al Kader Hammoud*, Ameya Prabhu*, Ser-Nam Lim, Philip Torr, Adel Bibi, Bernard Ghanem, "Towards a True Evaluation of Rapid Adaptation in Online Continual Learning", CLVision Workshop (CVPRW 2023)

Ameya Prabhu*, Hasan Abed Al Kader Hammoud*, Puneet Dokania, Philip Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi, "Computationally Budgeted Continual Learning: What Does Matter?", CLVision Workshop (CVPRW 2023)

Lama Alssum, Juan Leon, Merey Ramazanova, Chen Zhao, Bernard Ghanem, "Just a Glimpse: Rethinking Temporal Information for Video Continual Learning", CLVision Workshop (CVPRW 2023) [Best Paper Award]

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller, “SimCS: Simulation for Online Domain-Incremental Continual Segmentation”, CLVision Workshop (CVPRW 2023)

Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck, “Online Distillation with Continual Learning for Cyclic Domain Shifts”, CLVision Workshop (CVPRW 2023)

Merey Ramazanova, Victor Escorcia, Fabian Caba Heilbron, Chen Zhao, Bernard Ghanem, "OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos", Workshop on Learning With Limited Labelled Data for Image and Video Understanding (L3D-IVU, CVPRW 2023)

Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem, “Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs”, Art of Robustness Workshop (CVPRW 2023)

Shuming Liu, Mengmeng Xu, Chen Zhao, Xu Zhao, Bernard Ghanem, "ETAD: Training Action Detection End to End on a Laptop", ECV Workshop (CVPRW 2023)

Abdullah Hamdi, Silvio Giancola, Bernard Ghanem, "Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding", International Conference on Learning Representations (ICLR 2023)

Suliman Abdelwahid, Mohammad Rafi Malik, Hasan Abed Al Kader Hammoud, Francisco E. Hernandez Perez, Bernard Ghanem and Hong G. Im, "Large eddy simulations of NH3-H2 jet flame at elevated pressure using PCA with inclusion of NH3/H2 ratio variation", American Institute of Aeronautics and Astronautics (AIAA) SCITECH Forum 2023

Mohamad Abed El Rahman Hammoud*, Humam Alwassel*, Bernard Ghanem, Omar Knio, Ibrahim Hoteit, "Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Benard Convection", Artificial Intelligence for the Earth Systems 2023

Weijiang Yu, Haofan Wang, Guohao Li, Nong Xiao, Bernard Ghanem, "Knowledge-aware Global Reasoning for Situation Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)

Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng, "Combating Mode Collapse via Offline Manifold Entropy Estimation", AAAI Conference on Artificial Intelligence (AAAI 2023) [Oral]

Hasan Abed Al Kader Hammoud, Bernard Ghanem, "Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain", British Machine Vision Conference (BMVC 2022)

Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem, "PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies", Neural Information Processing Systems (NeurIPS 2022)

Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Zhongcong Xu, Denial Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, WANG HongFa, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou, "Egocentric Video-Language Pretraining", Neural Information Processing Systems (NeurIPS 2022)

Motasem Alfarra, Francisco Eiras, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi, "ANCER: Anisotropic Certification via Sample-wise Volume Maximization", Transactions on Machine Learning Research (TMLR 2022)

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem, "On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2022)

Juan Leon Alcazar, Moritz Cordes, Chen Zhao, Bernard Ghanem, "End-to-End Active Speaker Detection", European Conference on Computer Vision (ECCV 2022)

Alejandro Pardo, Fabian Caba Heilbron, Juan Leon Alcazar, Ali Thabet, Bernard Ghanem, "MovieCuts: A New Dataset and Benchmark for Cut Type Recognition", European Conference on Computer Vision (ECCV 2022)

Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang, "R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning", European Conference on Computer Vision (ECCV 2022)

Motasem Alfarra, Juan C. Perez, Anna Fruehstueck, Philip Torr, Peter Wonka, Bernard Ghanem, "On the Robustness of Quality Measures for GANs", European Conference on Computer Vision (ECCV 2022)

Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem, "Data Dependent Randomized Smoothing", Conference on Uncertainty in Artificial Intelligence (UAI 2022)

Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren, "Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline", International Conference on Computational Photography (ICCP 2022)

Ahmed Mahas, Tin Marsic, Mauricio Masson, Qiaochu Wang, Rashid Aman, Cheng Zheng, Zahir Ali, Madain Alsanea, Ahmed Al-Qahtani, Bernard Ghanem, Fatimah Alhamlan, Magdy M Mahfouz, "Characterization of a thermostable Cas13 enzyme for one-pot detection of SARS-CoV-2", Proceedings of the National Academy of Sciences in the United States (PNAS 2022)

Anthony Cioppa, Adrien Deliege, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroec, "SoccerNet-v3 - Scaling up SoccerNet with Multi-View Spatial Localization and Re-Identification", Nature Scientific Data 2022

Jialin Gao, Xin Sun, Bernard Ghanem, Xi Zhou, Shiming Ge, "Efficient Video Grounding with Which-Where Reading Comprehension", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2022)

Gabriel Pérez, Motasem Alfarra, Juan Perez, Silvio Giancola, Bernard Ghanem, "3DeformRS: Certifying Spatial Deformations on Point Clouds", Computer Vision and Pattern Recognition (CVPR 2022)

Andrés Villa, Kumail Alhamoud, Juan Leon, Fabian Caba, Victor Escorcia, Bernard Ghanem, "vCLIMB: A Novel Video Class Incremental Learning Benchmark", Computer Vision and Pattern Recognition (CVPR 2022) [Oral]

Mattia Soldan, Alejandro Pardo, Juan Leon, Fabian Caba, Chen Zhao, Silvio Giancola, Bernard Ghanem, "MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions", Computer Vision and Pattern Recognition (CVPR 2022)

Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein, "Robust Optimization as Data Augmentation for Large-scale Graphs", Computer Vision and Pattern Recognition (CVPR 2022)

Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem, "Spatio-temporal Relation Modeling for Few-shot Action Recognition", Computer Vision and Pattern Recognition (CVPR 2022)

Maksim Makarenko, Arturo Burguete Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi, "Real-time hyperspectral imaging in hardware via trained metasurface encoders", Computer Vision and Pattern Recognition (CVPR 2022)

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik, "Ego4D: Around the World in 3,000 Hours of Egocentric Video", Computer Vision and Pattern Recognition (CVPR 2022) [Oral]

Anthony Cioppa, Silvio Giancola, Adrien Deliege, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, Marc Van Droogenbroeck, "SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos", CVSports Workshop (CVPRW 2022)

Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip Torr, Bernard Ghanem, "DeformRS: Certifying Input Deformations with Randomized Smoothing", AAAI Conference on Artificial Intelligence (AAAI 2022) [Oral]

Motasem Alfarra, Juan Perez, Ali Thabet, Adel Bibi, Philip Torr, Bernard Ghanem, "Combating Adversaries with Anti-Adversaries", AAAI Conference on Artificial Intelligence (AAAI 2022)

Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem, "SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation", AAAI Conference on Artificial Intelligence (AAAI 2022)

Motasem Alfarra, Juan Camillo Perez, Adel Bibi, Ali Thabet, Pablo Arbelaez, Bernard Ghanem, "Rethinking Clustering for Robustness", British Machine Vision Conference (BMVC 2021)

Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem, "ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning", Conference on Neural Information Processing Systems (NeurIPS 2021)

Mengmeng Xu, Juan-Manuel Perez-Rua, Xiatian Zhu, Bernard Ghanem, Brais Martinez, "Low-Fidelity Video Encoder Optimization for Temporal Action Localization", Conference on Neural Information Processing Systems (NeurIPS 2021)

Jialin Gao, Xin Sun, Mengmeng Xu, Bernard Ghanem, "Relation-aware Video Reading Comprehension for Temporal Language Grounding", Empirical Methods in Natural Language Processing (EMNLP 2021)

Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Junsong Yuan, Bernard Ghanem, C.-C. Jay Kuo, "High Quality Disparity Remapping with Two-Stage Warping",  International Conference on Computer Vision (ICCV 2021)

Alejandro Pardo, Fabian Caba, Juan Leon Alcazar, Ali Thabet, Bernard Ghanem, "Learning to Cut by Watching Movies",  International Conference on Computer Vision (ICCV 2021)

Mengmeng Xu, Victor Escorcia, Brais Martínez, Juan-Manuel Perez-Rua, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang, "Boundary-sensitive Pretraining for Temporal Localization in Videos",  International Conference on Computer Vision (ICCV 2021)

Chen Zhao, Ali Thabet, Bernard Ghanem, "Video Self-Stitching Graph Network for Temporal Action Localization",  International Conference on Computer Vision (ICCV 2021)

Abdullah Hamdi, Silvio Giancola, Bernard Ghanem, "MVTN: Multi-View Transformation Network for 3D Shape Recognition",  International Conference on Computer Vision (ICCV 2021)

Juan Leon Alcazar, Fabian Caba, Ali Thabet, Bernard Ghanem, "MAAS: Multi-modal Assignation for Active Speaker Detection",  International Conference on Computer Vision (ICCV 2021)

Mattia Soldan, Mengmeng Xu, Sisi Qu, Jesper Tegner, Bernard Ghanem, "VLG-Net: Video-Language Graph Matching Network for Video Grounding", AI for Creative Video Editing and Understanding Workshop (CVEU) at ICCV 2021 (ICCVW 2021) [Best Paper Award]

Humam Alwassel, Silvio Giancola, Bernard Ghanem, "TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks",  AI for Creative Video Editing and Understanding Workshop (CVEU) at ICCV 2021 (ICCVW 2021)

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, Pablo Arbeláez, "Enhancing Adversarial Robustness via Test-time Transformation Ensembling", International Conference on Computer Vision Workshop (ICCVW 2021)

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem, "KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild", IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2021)

Mengke Yuan, Bernard Ghanem, Dong-Ming Yan,  Baoyuan Wu, Xiaopeng Zhang, Peter Wonka, "Customized Summarizations of Visual Data Collections", Computer Graphics Forum (CGF 2021)

Juan Carlos Leon Alcazar, Maria A Bravo Sarmiento, Gullaume Jeanneret SanMiguel, Ali K Thabet, Thomas Brox, Pablo A Arbelaez, Bernard Ghanem, "MAIN: Multi-Attention Instance Network for Video Segmentation", Computer Vision and Image Understanding (CVIU 2021)

Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Bernard Ghanem, Wen Gao,  C.-C. Jay Kuo, "Shape-Preserving Stereo Object Remapping via Object-Consistent Grid Warping", IEEE Transactions on Image Processing (TIP 2021)

Guohao Li, Matthias Mueller, Bernard Ghanem, Vladlen Koltun, "Training Graph Neural Networks with 1000 Layers", International Conference on Machine Learning (ICML 2021)

Guohao Li, Matthias Mueller, Guocheng Qian, Itzel Delgadillo Perez, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem, "DeepGCNs: Making GCNs Go as Deep as CNNs", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021)

Modar Alfadly, Salman Alsubaihi, Abdullah Hamdi, Adel Bibi, Bernard Ghanem, "Expected Tight Bounds for Robust Training", Robust and Reliable Machine Learning in the Real World Workshop at ICLR (ICLRW 2021)

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem, "PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks", Computer Vision and Pattern Recognition (CVPR 2021)

Juan Leon Alcazar, Fabian Caba, Federico Perazzi, Long Mai, Joon-Young Lee, Bernard Ghanem, Pablo Arbelaez, "APES: Audiovisual Person Search in Untrimmed Video", Multimodal Learning and Applications Workshop (CVPRW 2021)

Alejandro Pardo, Mengmeng Xu, Ali Thabet, Pablo Arbelaez, Bernard Ghanem, "BAOD: Budget-Aware Object Detection", LatinX in Computer Vision Workshop (CVPRW 2021) [Best Paper Award]

Silvio Giancola and Bernard Ghanem, "Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts", CVSports Workshop (CVPRW 2021)

Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam Jamshidi, Jacob Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck, "SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos", CVSports Workshop (CVPRW 2021) [Best Paper Award]

Anthony Cioppa, Adrien Deliege, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, Marc Van Droogenbroeck, "Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting", CVSports Workshop (CVPRW 2021)

Justine Braguy, Merey Ramazanova, Silvio Giancola, Muhammad Jamil, Boubacar A. Kountche, Randa Zarban, Abrar Felemban, Jian You Wang, Pei-Yu Lin, Imran Haider, Matias Zurbriggen, Bernard Ghanem, Salim Al-Babili, "SeedQuant: A deep learning-based tool for assessing stimulants and inhibitors activity on root parasitic seeds", Plant Physiology 2021

Alejandro Pardo, Humam Alwassel, Fabian Caba Heilbron, Ali Thabet, Bernard Ghanem, "RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization", Workshop on Applications of Computer Vision (WACV 2021)

Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran, "Self-Supervised Learning by Cross-Modal Audio-Video Clustering", Conference on Neural Information Processing Systems (NeurIPS 2020) [Spotlight]

Chen Zhao and Bernard Ghanem, "ThumbNet: One Thumbnail Image Contains All You Need for Recognition", ACM International Conference on Multimedia (ACM MM 2020)

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem, "KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild", IEEE Transactions on Neural Networks and Learning Systems 2020

Juan Camilo Perez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbelaez, "Gabor Layers Enhance Network Robustness", European Conference on Computer Vision (ECCV 2020)

Abdullah Hamdi, Sara Rojas Martinez, Ali Thabet, Bernard Ghanem, "AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds", European Conference on Computer Vision (ECCV 2020)

Abdullah Hamdi and Bernard Ghanem, "Towards Analyzing Semantic Robustness of Deep Neural Networks", ECCV Workshop on Adversarial Robustness in the Real World 2020 [Best Paper Award]

Nursulu Kuzhagaliyeva, Eshan Singh, Ali Thabet, Bernard Ghanem, S Mani Sarathy, "Using deep neural networks to diagnose engine pre-ignition", Proceedings of the Combustion Institute (PCI 2020)

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem, "Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild", International Journal on Computer Vision (IJCV 2020)

Anthony Cioppa, Adrien Deliege, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas Moeslund, "A Context-Aware Loss Function for Action Spotting in Soccer Videos", Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Juan Carlos Leon, Fabian Caba, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbelaez, Bernard Ghanem, "Active Speakers in Context", Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Mengmeng Xu, Chen Zhao, David Rojas Blanco, Ali Thabet, Bernard Ghanem, "G-TAD: Sub-Graph Localization for Temporal Action Detection", Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Guohao Li, Guocheng Qian, Itzel Delgadilloperez, Matthias Müller, Ali Thabet, Bernard Ghanem, "SGAS: Sequential Greedy Architecture Search", Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Ali Thabet*, Humam Alwassel*, Bernard Ghanem, "Self-Supervised Learning of Local Features in 3D Point Clouds", Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2020)

Baoyuan Wu, Li Shen, Tong Zhang, Bernard Ghanem, "MAP Inference via L2-Sphere Linear Program Reformulation", International Journal on Computer Vision (IJCV 2020)

Abdullah Hamdi, Matthias Müller, Bernard Ghanem, "SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications", AAAI Conference on Artificial Intelligence (AAAI 2020) 

Adel Bibi, El houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtarik, "A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control", AAAI Conference on Artificial Intelligence (AAAI 2020) 

Qilin Sun, Jian Zhang, Xiong Dun, Bernard Ghanem, Yifan Peng, Wolfgang Heidrich, "End-to-End Learned, Optically Coded Super-resolution SPAD Camera", ACM Transactions on Graphics (TOG 2020) [presented at Siggraph 2020]

Victor Escorcia, Cuong D Dao, Mihir Jain, Bernard Ghanem, Cees Snoek, "Guess Where? Actor-Supervision for Spatiotemporal Action Localization", Computer Vision and Image Understanding (CVIU 2020)

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem, "Learning a strong detector for action localization in videos", Pattern Recognition Letters (PRL 2019)

Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem, "DeepGCNs: Can GCNs Go as Deep as CNNs?", International Conference on Computer Vision (ICCV 2019) [Oral]

Jean Lahoud, Bernard Ghanem, Martin R. Oswald, Marc Pollefeys, "3D Instance Segmentation via Multi-task Metric Learning", International Conference on Computer Vision (ICCV 2019) [Oral]

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem, "Detecting small faces in the wild based on generative adversarial network and contextual information", Pattern Recognition (PR 2019)

Mengmeng Xu, Yancheng Bai, Sisi Qu, Bernard Ghanem, “Semantic Part RCNN for Real-World Pedestrian Detection”, CVPR 2019 Workshop on Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge

Mengmeng Xu, Yancheng Bai, Bernard Ghanem, “Missing Labels in Object Detection”, CVPR 2019 Workshop on Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge

Guohao Li, Matthias Mueller*, Vincent Michael Casser, Neil Smith, Dominik Michels, Bernard Ghanem, "OIL: Observational Imitation Learning", Robotics: Science and Systems (RSS 2019)

Xin Yu, Fatemeh Shiri, Bernard Ghanem, Fatih Porikli, "Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2019)

Silvio Giancola, Jesus Zarzar, Bernard Ghanem, "Leveraging Shape Completion for 3D Siamese Tracking", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Matthias Müller, Guohao Li, Neil Smith, Vincent Casser, Dominik Michels, Bernard Ghanem, "Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing",  International Workshop on Computer Vision for UAVs (CVPRW 2019) [Oral][Best Paper Award]

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Mengmeng Xu, Bernard Ghanem, "Beyond Weakly-supervised: Pseudo Ground Truth Mining for Missing Bounding-boxes Object Detection", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2019)

Adel Bibi, Bernard Ghanem, Vladlen Koltun, Rene Ranftl, "Deep Layers as Stochastic Solvers", International Conference on Learning Representations (ICLR 2019)

Rafał Protasiuk, Adel Bibi, Bernard Ghanem, "Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement", IEEE Winter Conference on Applications of Computer Vision (WACV 2019)

Jiahong Huang, Cuong Dao, Modar Alfadly, Bernard Ghanem, "A Novel Framework for Robustness Analysis of Visual QA Models", AAAI Conference on Artificial Intelligence (AAAI 2019) [Oral]

Yongqiang Zhang, Yaicheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem, "Weakly-supervised object detection via mining pseudo ground truth bounding-boxes", Pattern Recognition (PR 2018)

Matthias Mueller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun, "Driving Policy Transfer via Modularity and Abstraction", Conference on Robotic Learning (CoRL 2018)

Matthias Mueller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem, "TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild", European Conference on Computer Vision (ECCV 2018)

Humam Alwassel, Fabian Caba, Victor Escorcia, Bernard Ghanem, "Diagnosing Error in Temporal Action Detectors", European Conference on Computer Vision (ECCV 2018)

Humam Alwassel, Fabian Caba, Bernard Ghanem, "Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization", European Conference on Computer Vision (ECCV 2018)

Fabian Caba, Joon-Young Lee, Hailin Jin, Bernard Ghanem, "What do I Annotate Next? An Empirical Study of Active Learning for Action Localization", European Conference on Computer Vision (ECCV 2018)

Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, Richard Hartley, "Face Super-resolution Guided by Facial Component Heatmaps", European Conference on Computer Vision (ECCV 2018)

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem, "SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network", European Conference on Computer Vision (ECCV 2018)

Matthias Mueller*, Vincent Casser*, Neil Smith, Dominik Michels, Bernard Ghanem, "Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation", European Conference on Computer Vision Workshop on Computer Vision for UAVs (ECCVW 2018) [Oral] [Best Paper Award]

Baoyuan Wu* and Bernard Ghanem*, "Lp-Box ADMM: A Versatile Framework for Integer Programming", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018)

Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu, "Multi-label Learning with Missing Labels Using Mixed Dependency Graphs", International Journal on Computer Vision (IJCV 2018)

Matthias Mueller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem, "Sim4CV: A photo-realistic simulator for computer vision applications", International Journal on Computer Vision (IJCV 2018)

Yongqiang  Zhang, Yancheng  Bai, Mingli  Ding, Yongqiang  Li, Bernard  Ghanem, "W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)

Jian Zhang and Bernard  Ghanem, "ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)

Adel Bibi, Modar Alfadly, Bernard  Ghanem, "Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) [Oral]

Yancheng  Bai, Yongqiang  Zhang, Mingli  Ding, Bernard  Ghanem, "Finding Tiny Faces in the Wild with Generative Adversarial Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) [Oral]

Baoyuan  Wu, Weidong  Chen, Peng  Sun, Siwei  Lyu, Bernard  Ghanem, "Tagging Like Humans: Diverse and Distinct Image Annotation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)

Silvio Giancola, Mohieddine Amine, Tarek Dghaily, Bernard Ghanem, "SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018) [Oral] [URL]

Silvio Giancola, Jens Schneider, Peter Wonka, Bernard Ghanem, "Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction Pipeline", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018)

Rahaf Rahal, Daniel C. Asmar, Elie A. Shammas, Bernard Ghanem, "Object Oriented Structure from Motion: Can a Scribble Help?", pp. 541-548, VISIGRAPP 2018

Ganzhao Yuan and Bernard Ghanem, "L0TV: A Sparse Optimization Method for Impulse Noise Image Restoration", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2017)

Adel Bibi and Bernard Ghanem, "High Order Tensor Formulation for Convolutional Sparse Coding", International Conference on Computer Vision (ICCV 2017) [more]

Sara Shaheen, Lama Affara, and Bernard Ghanem, "Constrained Convolutional Sparse Coding for Parametric Based Reconstruction Of Line Drawings", International Conference on Computer Vision (ICCV 2017) [more]

Jean Lahoud and Bernard Ghanem, "2D-Driven 3D Object Detection in RGB-D Images", International Conference on Computer Vision (ICCV 2017) [more]

Shyamal  Buch, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles, "End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos", British Machine Vision Conference (BMVC 2017) [Oral]

Sara Shaheen, Bernard Ghanem, "Stroke Style Transfer", Proceedings of Eurographics (Short Paper) 2017 [more]

Adel Bibi, Hani Itani, Bernard Ghanem, "FFTLasso: Large-Scale Lasso in the Fourier Domain", Conference on Computer Vision and Pattern Recognition (CVPR 2017) [Oral] [more]

Matthias Mueller, Neil Smith, Bernard Ghanem, "Context-Aware Correlation Filter Tracking", Conference on Computer Vision and Pattern Recognition (CVPR 2017) [Oral] [more]

Fabian Caba, Wayner Barrios, Bernard Ghanem, "SCC: Semantic Context Cascade for Efficient Action Detection", Conference on Computer Vision and Pattern Recognition (CVPR 2017) [more]

Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, "Diverse Image Annotation", Conference on Computer Vision and Pattern Recognition (CVPR 2017) [more]

Shyamal Buch, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles, "SST: Single-Stream Temporal Action Proposals", Conference on Computer Vision and Pattern Recognition (CVPR 2017) [more]

Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem, "A Matrix Splitting Method for Composite Function Minimization", Conference on Computer Vision and Pattern Recognition (CVPR 2017) [more]

Yancheng Bai, Bernard Ghanem, "Multi-scale Fully Convolutional Network for Face Detection in the Wild", Conference on Computer Vision and Pattern Recognition Workshops  (CVPRW 2017)

Ganzhao Yuan, Bernard Ghanem, "An Exact Penalty Method for Binary Optimization Based on MPEC Formulation", AAAI Conference on Artificial Intelligence (AAAI 2017) [more]

Muhammad Uzair, Faisal Shafait, Bernard Ghanem, Ajmal Mian, "Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification", Neural Computing and Application (NCAA 2017)

Adel Bibi, Matthias Mueller, Bernard Ghanem, "Target Response Adaptation for Correlation Filter Tracking", European Conference on Computer Vision (ECCV 2016) [Spotlight][supp][more]

Victor Escorcia, Fabian Caba, Juan Carlos Niebles, Bernard Ghanem, "DAPs: Deep Action Proposals for Action Understanding", European Conference on Computer Vision (ECCV 2016) [more]

Lama Affara, Liangliang Nan, Bernard Ghanem, Peter Wonka, "Large Scale Asset Extraction for Urban Images", European Conference on Computer Vision (ECCV 2016) [more]

Matthias Mueller, Neil Smith, Bernard Ghanem, "A Benchmark and Simulator for UAV Tracking", European Conference on Computer Vision (ECCV 2016) [supp][more]

Yongqiang Li, Baoyuan Wu, Bernard Ghanem, Yongping Zhao, Hongxun Yao, Qiang Ji, “Facial Action Unit Recognition under Incomplete Data Based on Multi-label Learning with Missing Labels”, Pattern Recognition (PR 2016) [more]

Matthias Mueller, Gopal Sharma, Neil Smith, Bernard Ghanem, "Persistent Aerial Tracking System for UAVs", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016) [more]

Faisal Shafait, Ajmal Mian, Mark Shortis, Bernard Ghanem, Philip Culverhouse, Duane Edgington, Danelle Cline, Mehdi Ravenbakhsh, James Seager, and Euan Harvey, "Fish identification from videos captured in uncontrolled underwater environments", ICES Journal of Marine Science (2016) [more]

Tianzhu Zhang, Adel Bibi, and Bernard Ghanem, "In Defense of Sparse Tracking: Circulant Sparse Tracker", Conference on Computer Vision and Pattern Recognition (CVPR 2016) [Spotlight][supp][more]

Adel Bibi, Tianzhu Zhang, and Bernard Ghanem, "3D Part-Based Sparse Tracker with Automatic Synchronization and Registration", Conference on Computer Vision and Pattern Recognition (CVPR 2016) [more]

Fabian Caba, Juan Carlos Niebles, and Bernard Ghanem, "Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos", Conference on Computer Vision and Pattern Recognition (CVPR 2016) [supp][more]

Baoyuan Wu, Siwei Lyu, and Bernard Ghanem, "Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning", AAAI Conference on Artificial Intelligence (AAAI 2016) [more]

Ganzhao Yuan and Bernard Ghanem, "A Proximal Alternating Direction Method for Semi-Definite Rank Minimization", AAAI Conference on Artificial Intelligence (AAAI 2016) [more]

Sara Shaheen, Alyn Rockwood, and Bernard Ghanem, "SAR: Stroke Authorship Recognition", Computer Graphics Forum 2015 [more]

Baoyuan Wu, Siwei Lyu, and Bernard Ghanem, "ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph", International Conference on Computer Vision (ICCV 2015) [more]

Rachit Dubey*, Joshua Peterson*, Aditya Khosla, Ming-Hsuan Yang, and Bernard Ghanem, "What makes an object memorable?", International Conference on Computer Vision (ICCV 2015) [more]

Mohamed Hachama, Bernard Ghanem, and Peter Wonka, "Intrinsic Scene Decomposition from RGB-D Images", International Conference on Computer Vision (ICCV 2015) [more]

Adel Bibi and Bernard Ghanem, "Multi-Template Scale Adaptive Kernelized Correlation Filters", International Conference on Computer Vision Workshop (ICCVW/VOT 2015) [more]

Ganzhao Yuan and Bernard Ghanem, “L0TV : A New Method for Image Restoration in the Presence of Impulse Noise”, Conference on Computer Vision and Pattern Recognition (CVPR 2015) [oral][supp][URL]

Bernard Ghanem, Ali Thabet, Juan Carlos Niebles, and Fabian Caba, “Robust Manhattan Frame Estimation from a Single RGB-D Image”, Conference on Computer Vision and Pattern Recognition (CVPR 2015) [more]

Victor Castillo, Juan Carlos Niebles, and Bernard Ghanem, “On the Relationship between Visual Attributes and Convolutional Networks”, Conference on Computer Vision and Pattern Recognition (CVPR 2015) [more]

Fabian Caba Heilbron, Victor Castillo, Bernard Ghanem, and Juan Carlos Niebles, “ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding”, Conference on Computer Vision and Pattern Recognition (CVPR 2015) [supp][URL]

Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang, “Structural Sparse Tracking”, Conference on Computer Vision and Pattern Recognition (CVPR 2015) [more]

Indriyati Atmosukarto, Narendra Ahuja, Bernard Ghanem, "Action Recognition using Discriminative Structured Trajectory Groups", Winter Conference on Applications of Computer Vision (WACV 2015) [more]

Liangliang Nan, Caigui Jiang, Bernard Ghanem, Peter Wonka, "Template Assembly for Detailed Urban Reconstruction", Computer Graphics Forum (Proceedings of Eurographics) 2015 [more]

Bernard Ghanem, Yuanhao Cao, Peter Wonka, "Designing Camera Networks by Convex Quadratic Programming", Computer Graphics Forum (Proceedings of Eurographics) 2015 [more][video]

Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja, "Robust Visual Tracking via Exclusive Context Modeling", IEEE Transactions on Cybernetics 2015 [more]

Jagannadan Varadarajan, Indriyati Atmosukarto, Shaunak Ahuja, Bernard Ghanem, Narendra Ahuja, "Automated Playbook Generation in Football through Videos ", MIT Sloan Sports Analytics Conference [pdf][URL]

Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem, "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning", International Journal of Computer Vision (IJCV 2014)

Alexandre Heili, Jagannadan Varadarajan, Bernard Ghanem, Narendra Ahuja, Jean-Marc Odobez, "Improving Head and Body Pose Estimation through Semi-Supervised Manifold Alignment", International Conference on Image Processing (ICIP 2014)

Rachit Dubey, Akshat Dave, Bernard Ghanem, "Improving Saliency Models by Predicting Human Fixation Patches", Asian Conference on Computer Vision (ACCV 2014)

Ali Thabet, Jean Lahoud, Daniel Asmar, Bernard Ghanem, "3D Aware Correction and Completion of Depth Maps in Piecewise Planar Scenes", Asian Conference on Computer Vision (ACCV 2014)

Fabian Caba Heilbron, Ali Thabet, Juan Carlos Niebles, Bernard Ghanem, "Camera Motion and Surrounding Scene Appearance as Context for Action Recognition", Asian Conference on Computer Vision (ACCV 2014)

Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem, "BILGO: Bilateral Greedy Optimization for Large Scale Semidefinite Programming", Neurocomputing Journal 2014

Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, "Low-Rank Sparse Coding for Image Classification", International Conference on Computer Vision (ICCV 2013)

Jagannadan Varadarajan, Indriyati Atmosukarto, Shaunak Ahuja, Bernard Ghanem, Narendra Ahuja, "A Topic Model Approach to Represent and Classify American Football Plays", British Machine Vision Conference (BMVC2013)

Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, "Robust Visual Tracking via Structured Multi-Task Sparse Learning", International Journal of Computer Vision (IJCV 2013)

Tianzhu Zhang, Bernard Ghanem, Changsheng Xu, Narendra Ahuja, "Object Tracking by Occlusion Detection via Structured Sparse Learning", IEEE International Workshop on Computer Vision in Sports (CVsports), 2013

Indriyati Atmosukarto, Bernard Ghanem, Shaunak Ahuja, Karthik Muthuswamy, Narendra Ahuja, "Automatic Recognition of Offensive Team Formation in American Football Plays", IEEE International Workshop on Computer Vision in Sports (CVsports), 2013 [Best Paper Award]

Ganzhao Yuan, Zhenjie Zhang*, Bernard Ghanem*, and Zhifeng Hao, "Low-Rank Quadratic Semidefinite Programming", Neurocomputing Journal 2013

Akshat Dave*, Rachit Dubey*, Bernard Ghanem, "Do Humans Fixate on Interest Points?", International Conference on Pattern Recognition (ICPR2012) [oral]

Indriyati Atmosukarto, Bernard Ghanem, Narendra Ahuja, "Trajectory-based Fisher Kernel Representation for Action Recognition in Videos", International Conference on Pattern Recognition (ICPR2012) [oral]

Bernard Ghanem, Maya Kreidieh*, Marc Farra*, Tianzhu Zhang, "Context-Aware Learning for Automatic Sports Highlight Recognition", International Conference on Pattern Recognition (ICPR2012)

Tianzhu Zhang, Bernard Ghanem, and Narendra Ahuja, "Low-Rank Sparse Learning for Robust Visual Tracking", European Conference on Computer Vision (ECCV2012)

Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, "Robust Visual Tracking via Multi-Task Sparse Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR2012) [oral]

Tianzhu Zhang, Bernard Ghanem, and Narendra Ahuja, "Robust Multi-Object Tracking Via Cross-Domain Contextual Information For Sports Video Analysis", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)

Bernard Ghanem, Tianzhu Zhang, and Narendra Ahuja, "Robust Video Registration Applied to Field-Sports Video Analysis", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)

Bernard Ghanem and Narendra Ahuja, "Modeling Dynamic Swarms", Journal of Computer Vision and Image Understanding (CVIU 2012) (arXiv e-print 2011 arXiv:1102.1292v1 [cs.CV])

Bernard Ghanem and Narendra Ahuja, "A Probabilistic Framework for Discriminative Dictionary Learning", (arXiv e-print 2011 arXiv:1109.2389v1 [cs.CV])

Emre Akbas, Bernard Ghanem, and Narendra Ahuja, "MIS-Boost: Multiple Instance Selection Boosting", (arXiv e-print 2011 arXiv:1109.2388v1 [cs.LG])

Bernard Ghanem and Narendra Ahuja, "Maximum Margin Distance Learning for Dynamic Texture Recognition", European Conference on Computer Vision (ECCV 2010)

Bernard Ghanem and Narendra Ahuja, "Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition", International Conference on Pattern Recognition (ICPR 2010)

Bernard Ghanem and Narendra Ahuja, "Dinkelbach NCUT: A Framework for Solving Normalized Cuts Problems with Priors and Convex Constraints", International Journal of Computer Vision (IJCV 2010) [code]

Bernard Ghanem and Narendra Ahuja, "Extracting a Fluid Dynamic Texture and the Background from Video", Conference on Computer Vision and Pattern Recognition (CVPR 2008)

Bernard Ghanem, Esther Resendiz, and Narendra Ahuja, "Segmentation-Based Perceptual Image Quality Assessment (SPIQA)", International Conference on Image Processing (ICIP 2008)

Bernard Ghanem, Jianming Liang, Jinbo Bi, Marcos Salganicoff, and Arun Krishnan, "Reduction of Lymph Tissue False Positives in Pulmonary Embolism Detection", SPIE Medical Imaging Conference  2007

Bernard Ghanem and Narendra Ahuja, "Phase Based Modeling of Dynamic Textures", International Conference on Computer Vision (ICCV 2007)

Bernard Ghanem and Narendra Ahuja, "Phase PCA for Dynamic Texture Video Compression", International Conference on Image Processing (ICIP 2007)

M. Bernardine Dias, Bernard Ghanem, and Anthony Stentz, "Improving Cost Estimation in Market-Based Coordination of a Distributed Sensing Task", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005)

Bernard Ghanem, Ali Fawaz, and Ghassan Karame, "Real-Time Vision-Based Mobile Robot Navigation in Outdoor Environments", 4th annual AUB Student Conference 2005 [Best paper award]

Bernard Ghanem, "Dynamic Textures: Models and Applications", PhD Thesis, University of Illinois at Urbana-Champaign. 2010

Bernard Ghanem,  "Phase Based Modeling of Dynamic Textures and its Applications", MS Thesis, University of Illinois at Urbana-Champaign. 2007