2024:

  • GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering, Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi, Conference on Computer Vision and Pattern Recognition (CVPR 2024), (Link)
  • Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning, Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  • SPAD: Spatially Aware Multiview Diffusers, Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Guler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Conference on Computer Vision and Pattern Recognition (CVPR 2024), (Link)
  • Towards Automated Movie Trailer Generation, Dawit Mureja Argaw, Mattia Soldan, Alejandro Pardo, Chen Zhao, Fabian Caba Heilbron, Joon Son Chung, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  • Privacy-preserving Optics for Enhancing Protection in Face De-identification, Jhon Edinson Lopez, Carlos Hinojosa, Henry Arguello, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  • End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames, Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  • Tune-An-Ellipse: CLIP Has Potential to Find What You Want, Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou, Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  • Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives, 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, Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  • Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation, Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny, International Conference on Representation Learning (ICLR 2024)
  • Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors, Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem, International Conference on Representation Learning (ICLR 2024)
  • Boundary Denoising for Video Activity Localization, Mengmeng Xu, Mattia Soldan, Jialin Gao, Shuming Liu, Juan-Manuel Perez-Rua, Bernard Ghanem, International Conference on Representation Learning (ICLR 2024), (Link)
  • SimCS: Simulation for Domain Incremental Online Continual Segmentation, Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller, AAAI Conference on Artificial Intelligence (AAAI 2024), (Link)
  • Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets, Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)
  • Image Pretrained Standard Transformers for 3D Point Cloud Understanding, Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem, International Conference on 3D Vision (3DV 2024), (Link)
  • Automatic Analog Gauge Reading from synthetic data, Juan Leon, Yazeed Alnumay, Cheng Zheng, Sahejad Patel, Hassane Trigui, Bernard Ghanem, Winter Conference on Applications of Computer Vision (WACV 2024)
  • StyleAvatar: Stylizing Animatable Head Avatars, Juan Perez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbelaez, Bernard Ghanem, Ali Thabet, Albert Pumarola, Winter Conference on Applications of Computer Vision (WACV 2024)
  • Active Learning for Single-Stage Object Detection in UAV Images, Asma Yamani, Albandari Abdullah, Hamzah Luqman, Bernard Ghanem, Silvio Giancola, Winter Conference on Applications of Computer Vision (WACV 2024)

2023:

  • Dynamically Masked Discriminator for GANs, Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem, Neural Information Processing Systems (NeurIPS2023)
  • Mindstorms in Natural Language-Based Societies of Mind, 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, R0-FoMo: NeurIPS workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models
  • EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries, Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem, International Conference on Computer Vision (ICCV 2023), (Link)
  • Learning to Identify Critical States for Reinforcement Learning from Videos, Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber, International Conference on Computer Vision (ICCV 2023), (Link)
  • A Unified Continual Learning Framework with General Parameter-Efficient Tuning, Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang, International Conference on Computer Vision (ICCV 2023)
  • Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip Torr, Adel Bibi, Bernard Ghanem, International Conference on Computer Vision (ICCV 2023), (Link)
  • Automatic Animation of Hair Blowing in Still Portrait Photos, Wenpeng Xiao, Wentao Liu, Yitong Wang, Bernard Ghanem, Bing Li, International Conference on Computer Vision (ICCV 2023), (Link)
  • Re-ReND: Real-time Rendering of NeRFs across Devices, Sara Rojas Martinez, Jesus Zarzar, Juan Perez, Ali Thabet, Artsiom Sanakoyeu, Albert Pumarola, Bernard Ghanem, International Conference on Computer Vision (ICCV 2023)
  • Localizing Moments in Long Video Via Multimodal Guidance, Wayner Barrios, Mattia Soldan, Fabian Caba, Alberto Mario Ceballos-Arroyo, Bernard Ghanem, International Conference on Computer Vision (ICCV 2023), (Link)
  • FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model, Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang, International Conference on Computer Vision (ICCV 2023)
  • Exploring Open-Vocabulary Semantic Segmentation without Human Labels, Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Culatana, International Conference on Computer Vision (ICCV 2023)
  • Generalizability of Adversarial Robustness Under Distribution Shifts, Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem, Transactions on Machine Learning Research (TMLR 2023), (Link)
  • DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions, Guohao Li*, Chenxin Xiong*, Guocheng Qian, Ali Thabet, Bernard Ghanem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)
  • How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers, Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu, Robotics: Science and Systems (RSS 2023)
  • NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation, 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, Computer Vision and Pattern Recognition (CVPR 2023)
  • Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization, Mengmeng Xu, Yanghao Li, Cheng-Yang Fu, Bernard Ghanem, Tao Xiang, Juan-Manuel Perez-Rua, Computer Vision and Pattern Recognition (CVPR 2023), (Link)
  • Large-capacity and Flexible Video Steganography via Invertible Neural Network, Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang, Computer Vision and Pattern Recognition (CVPR 2023)
  • Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization, Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2023)
  • Real-Time Evaluation in Online Continual Learning: A New Hope, Yasir Mohammed Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip Torr, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2023)
  • Computationally Budgeted Continual Learning: What Does Matter?, Ameya Prabhu*, Hasan Abed Al Kader Hammoud*, Puneet K. Dokania, Philip Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi, Computer Vision and Pattern Recognition (CVPR 2023), (Link)
  • PIVOT: Prompting for Video Continual Learning, Andrés Villa, Juan C Leon Alcazar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian David Caba Heilborn, Alvaro Soto, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2023), (Link)
  • AdaptiveMix: Robust Feature Representation via Shrinking Feature Space, Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng, Computer Vision and Pattern Recognition (CVPR 2023)
  • Online Distillation with Continual Learning for Cyclic Domain Shifts, Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck, CLVision Workshop (CVPRW 2023), (Link)
  • VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views, Jan Held, Anthony Cioppa, Silvio Giancola, Abdullah Hamdi, Bernard Ghanem, Marc Van Droogenbroeck, CVSports Workshop (CVPRW 2023), (Link)
  • SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries, Hassan Mkhallati, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, CVSports Workshop (CVPRW 2023), (Link)
  • Towards Active Learning for Action Spotting in Association Football Videos, Silvio Giancola, Anthony Cioppa, Julia Giorgieva, Johsan Billingham, Andreas Serner, Kerry Peek, Bernard Ghanem, Marc Van Droogenbroeck, CVSports Workshop (CVPRW 2023), (Link)
  • Towards a True Evaluation of Rapid Adaptation in Online Continual Learning, Hasan Abed Al Kader Hammoud*, Ameya Prabhu*, Ser-Nam Lim, Philip Torr, Adel Bibi, Bernard Ghanem, CLVision Workshop (CVPRW 2023)
  • Computationally Budgeted Continual Learning: What Does Matter?, Ameya Prabhu*, Hasan Abed Al Kader Hammoud*, Puneet Dokania, Philip Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi, CLVision Workshop (CVPRW 2023), (Link)
  • Just a Glimpse: Rethinking Temporal Information for Video Continual Learning, Lama Alssum, Juan Leon, Merey Ramazanova, Chen Zhao, Bernard Ghanem, CLVision Workshop (CVPRW 2023), (Link)
  • SimCS: Simulation for Online Domain-Incremental Continual Segmentation, Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller, CLVision Workshop (CVPRW 2023)
  • Online Distillation with Continual Learning for Cyclic Domain Shifts, Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck, CLVision Workshop (CVPRW 2023), (Link)
  • OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos, Merey Ramazanova, Victor Escorcia, Fabian Caba Heilbron, Chen Zhao, Bernard Ghanem, Workshop on Learning With Limited Labelled Data for Image and Video Understanding (L3D-IVU, CVPRW 2023), (Link)
  • Don’t FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem, Art of Robustness Workshop (CVPRW 2023)
  • ETAD: Training Action Detection End to End on a Laptop, Shuming Liu, Mengmeng Xu, Chen Zhao, Xu Zhao, Bernard Ghanem, ECV Workshop (CVPRW 2023), (Link)
  • Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding, Abdullah Hamdi, Silvio Giancola, Bernard Ghanem, International Conference on Learning Representations (ICLR 2023)
  • Large eddy simulations of NH3-H2 jet flame at elevated pressure using PCA with inclusion of NH3/H2 ratio variation, Suliman Abdelwahid, Mohammad Rafi Malik, Hasan Abed Al Kader Hammoud, Francisco E. Hernandez Perez, Bernard Ghanem and Hong G. Im, American Institute of Aeronautics and Astronautics (AIAA) SCITECH Forum
  • Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Benard Convection, Mohamad Abed El Rahman Hammoud*, Humam Alwassel*, Bernard Ghanem, Omar Knio, Ibrahim Hoteit, Artificial Intelligence for the Earth Systems
  • Knowledge-aware Global Reasoning for Situation Recognition, Weijiang Yu, Haofan Wang, Guohao Li, Nong Xiao, Bernard Ghanem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)
  • Combating Mode Collapse via Offline Manifold Entropy Estimation, Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng, AAAI Conference on Artificial Intelligence (AAAI 2023)

2022:

  • Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain, Hasan Abed Al Kader Hammoud, Bernard Ghanem, British Machine Vision Conference (BMVC 2022), (Link)
  • PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies, Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem, Neural Information Processing Systems (NeurIPS 2022), (Link)
  • Egocentric Video-Language Pretraining, 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, Neural Information Processing Systems (NeurIPS 2022)
  • ANCER: Anisotropic Certification via Sample-wise Volume Maximization, Motasem Alfarra, Francisco Eiras, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi, Transactions on Machine Learning Research (TMLR 2022)
  • On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective, Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2022), (Link)
  • End-to-End Active Speaker Detection, Juan Leon Alcazar, Moritz Cordes, Chen Zhao, Bernard Ghanem, European Conference on Computer Vision (ECCV 2022)
  • MovieCuts: A New Dataset and Benchmark for Cut Type Recognition, Alejandro Pardo, Fabian Caba Heilbron, Juan Leon Alcazar, Ali Thabet, Bernard Ghanem, European Conference on Computer Vision (ECCV 2022), (Link)
  • R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang, European Conference on Computer Vision (ECCV 2022)
  • On the Robustness of Quality Measures for GANs, Motasem Alfarra, Juan C. Perez, Anna Fruehstueck, Philip Torr, Peter Wonka, Bernard Ghanem, European Conference on Computer Vision (ECCV 2022), (Link)
  • Data Dependent Randomized Smoothing, Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem, Conference on Uncertainty in Artificial Intelligence (UAI 2022), (Link)
  • Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline, Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren, International Conference on Computational Photography (ICCP 2022)
  • Characterization of a thermostable Cas13 enzyme for one-pot detection of SARS-CoV-2, 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, Proceedings of the National Academy of Sciences in the United States (PNAS 2022)
  • SoccerNet-v3 - Scaling up SoccerNet with Multi-View Spatial Localization and Re-Identification, Anthony Cioppa, Adrien Deliege, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroec, Nature Scientific Data
  • Efficient Video Grounding with Which-Where Reading Comprehension, Jialin Gao, Xin Sun, Bernard Ghanem, Xi Zhou, Shiming Ge, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2022)
  • 3DeformRS: Certifying Spatial Deformations on Point Clouds, Gabriel Pérez, Motasem Alfarra, Juan Perez, Silvio Giancola, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2022), (Link)
  • vCLIMB: A Novel Video Class Incremental Learning Benchmark, Andrés Villa, Kumail Alhamoud, Juan Leon, Fabian Caba, Victor Escorcia, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2022), (Link)
  • MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions, Mattia Soldan, Alejandro Pardo, Juan Leon, Fabian Caba, Chen Zhao, Silvio Giancola, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2022), (Link)
  • Robust Optimization as Data Augmentation for Large-scale Graphs, Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein, Computer Vision and Pattern Recognition (CVPR 2022)
  • Spatio-temporal Relation Modeling for Few-shot Action Recognition, Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2022)
  • Real-time hyperspectral imaging in hardware via trained metasurface encoders, Maksim Makarenko, Arturo Burguete Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi, Computer Vision and Pattern Recognition (CVPR 2022)
  • Ego4D: Around the World in 3,000 Hours of Egocentric Video, 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, Computer Vision and Pattern Recognition (CVPR 2022), (Link)
  • SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos, Anthony Cioppa, Silvio Giancola, Adrien Deliege, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, Marc Van Droogenbroeck, CVSports Workshop (CVPRW 2022), (Link)
  • DeformRS: Certifying Input Deformations with Randomized Smoothing, Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip Torr, Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2022), (Link)
  • Combating Adversaries with Anti-Adversaries, Motasem Alfarra, Juan Perez, Ali Thabet, Adel Bibi, Philip Torr, Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2022)
  • SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation, Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2022)

2021:

  • Rethinking Clustering for Robustness, Motasem Alfarra, Juan Camillo Perez, Adel Bibi, Ali Thabet, Pablo Arbelaez, Bernard Ghanem, British Machine Vision Conference (BMVC 2021), (Link)
  • ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning, Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem, Conference on Neural Information Processing Systems (NeurIPS 2021), (Link)
  • Low-Fidelity Video Encoder Optimization for Temporal Action Localization, Mengmeng Xu, Juan-Manuel Perez-Rua, Xiatian Zhu, Bernard Ghanem, Brais Martinez, Conference on Neural Information Processing Systems (NeurIPS 2021)
  • Relation-aware Video Reading Comprehension for Temporal Language Grounding, Jialin Gao, Xin Sun, Mengmeng Xu, Bernard Ghanem, Empirical Methods in Natural Language Processing (EMNLP 2021)
  • High Quality Disparity Remapping with Two-Stage Warping, Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Junsong Yuan, Bernard Ghanem, C.-C. Jay Kuo, International Conference on Computer Vision (ICCV 2021)
  • Learning to Cut by Watching Movies, Alejandro Pardo, Fabian Caba, Juan Leon Alcazar, Ali Thabet, Bernard Ghanem, International Conference on Computer Vision (ICCV 2021), (Link)
  • Boundary-sensitive Pretraining for Temporal Localization in Videos, Mengmeng Xu, Victor Escorcia, Brais Martínez, Juan-Manuel Perez-Rua, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang, International Conference on Computer Vision (ICCV 2021)
  • Video Self-Stitching Graph Network for Temporal Action Localization, Chen Zhao, Ali Thabet, Bernard Ghanem, International Conference on Computer Vision (ICCV 2021)
  • MVTN: Multi-View Transformation Network for 3D Shape Recognition, Abdullah Hamdi, Silvio Giancola, Bernard Ghanem, International Conference on Computer Vision (ICCV 2021)
  • MAAS: Multi-modal Assignation for Active Speaker Detection, Juan Leon Alcazar, Fabian Caba, Ali Thabet, Bernard Ghanem, International Conference on Computer Vision (ICCV 2021)
  • VLG-Net: Video-Language Graph Matching Network for Video Grounding, Mattia Soldan, Mengmeng Xu, Sisi Qu, Jesper Tegner, Bernard Ghanem, AI for Creative Video Editing and Understanding Workshop (CVEU) at ICCV 2021 (ICCVW 2021)
  • TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks, Humam Alwassel, Silvio Giancola, Bernard Ghanem, AI for Creative Video Editing and Understanding Workshop (CVEU) at ICCV 2021 (ICCVW 2021)
  • Enhancing Adversarial Robustness via Test-time Transformation Ensembling, Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, Pablo Arbeláez, International Conference on Computer Vision Workshop (ICCVW 2021)
  • KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild, Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2021)
  • Customized Summarizations of Visual Data Collections, Mengke Yuan, Bernard Ghanem, Dong-Ming Yan, Baoyuan Wu, Xiaopeng Zhang, Peter Wonka, Computer Graphics Forum (CGF 2021)
  • MAIN: Multi-Attention Instance Network for Video Segmentation, Juan Carlos Leon Alcazar, Maria A Bravo Sarmiento, Gullaume Jeanneret SanMiguel, Ali K Thabet, Thomas Brox, Pablo A Arbelaez, Bernard Ghanem, Computer Vision and Image Understanding (CVIU 2021)
  • Shape-Preserving Stereo Object Remapping via Object-Consistent Grid Warping, Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Bernard Ghanem, Wen Gao, C.-C. Jay Kuo, IEEE Transactions on Image Processing (TIP 2021)
  • Training Graph Neural Networks with 1000 Layers, Guohao Li, Matthias Mueller, Bernard Ghanem, Vladlen Koltun, International Conference on Machine Learning (ICML 2021), (Link)
  • DeepGCNs: Making GCNs Go as Deep as CNNs, Guohao Li, Matthias Mueller, Guocheng Qian, Itzel Delgadillo Perez, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021), (Link)
  • Expected Tight Bounds for Robust Training, Modar Alfadly, Salman Alsubaihi, Abdullah Hamdi, Adel Bibi, Bernard Ghanem, Robust and Reliable Machine Learning in the Real World Workshop at ICLR (ICLRW 2021), (Link)
  • PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks, Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem, Computer Vision and Pattern Recognition (CVPR 2021), (Link)
  • APES: Audiovisual Person Search in Untrimmed Video, Juan Leon Alcazar, Fabian Caba, Federico Perazzi, Long Mai, Joon-Young Lee, Bernard Ghanem, Pablo Arbelaez, Multimodal Learning and Applications Workshop (CVPRW 2021), (Link)
  • BAOD: Budget-Aware Object Detection, Alejandro Pardo, Mengmeng Xu, Ali Thabet, Pablo Arbelaez, Bernard Ghanem, LatinX in Computer Vision Workshop (CVPRW 2021)
  • Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts, Silvio Giancola and Bernard Ghanem, CVSports Workshop (CVPRW 2021)
  • SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos, Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam Jamshidi, Jacob Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck, CVSports Workshop (CVPRW 2021), (Link)
  • Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting, Anthony Cioppa, Adrien Deliege, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, Marc Van Droogenbroeck, CVSports Workshop (CVPRW 2021)
  • SeedQuant: A deep learning-based tool for assessing stimulants and inhibitors activity on root parasitic seeds, 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, Plant Physiology
  • RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization, Alejandro Pardo, Humam Alwassel, Fabian Caba Heilbron, Ali Thabet, Bernard Ghanem, Workshop on Applications of Computer Vision (WACV 2021)

2020:

  • Self-Supervised Learning by Cross-Modal Audio-Video Clustering, Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran, Conference on Neural Information Processing Systems (NeurIPS 2020)
  • ThumbNet: One Thumbnail Image Contains All You Need for Recognition, Chen Zhao and Bernard Ghanem, ACM International Conference on Multimedia (ACM MM 2020), (Link)
  • KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild, Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem, IEEE Transactions on Neural Networks and Learning Systems
  • Gabor Layers Enhance Network Robustness, Juan Camilo Perez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbelaez, European Conference on Computer Vision (ECCV 2020), (Link)
  • AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds, Abdullah Hamdi, Sara Rojas Martinez, Ali Thabet, Bernard Ghanem, European Conference on Computer Vision (ECCV 2020), (Link)
  • Towards Analyzing Semantic Robustness of Deep Neural Networks, Abdullah Hamdi and Bernard Ghanem, ECCV Workshop on Adversarial Robustness in the Real World, (Link)
  • Using deep neural networks to diagnose engine pre-ignition, Nursulu Kuzhagaliyeva, Eshan Singh, Ali Thabet, Bernard Ghanem, S Mani Sarathy, Proceedings of the Combustion Institute (PCI 2020)
  • Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild, Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem, International Journal on Computer Vision (IJCV 2020)
  • A Context-Aware Loss Function for Action Spotting in Soccer Videos, Anthony Cioppa, Adrien Deliege, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas Moeslund, Conference on Computer Vision and Pattern Recognition (CVPR 2020)
  • Active Speakers in Context, Juan Carlos Leon, Fabian Caba, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbelaez, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2020), (Link)
  • G-TAD: Sub-Graph Localization for Temporal Action Detection, Mengmeng Xu, Chen Zhao, David Rojas Blanco, Ali Thabet, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2020)
  • SGAS: Sequential Greedy Architecture Search, Guohao Li, Guocheng Qian, Itzel Delgadilloperez, Matthias Müller, Ali Thabet, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2020), (Link)
  • Self-Supervised Learning of Local Features in 3D Point Clouds, Ali Thabet*, Humam Alwassel*, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2020)
  • MAP Inference via L2-Sphere Linear Program Reformulation, Baoyuan Wu, Li Shen, Tong Zhang, Bernard Ghanem, International Journal on Computer Vision (IJCV 2020)
  • SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications, Abdullah Hamdi, Matthias Müller, Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2020), (Link)
  • A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control, Adel Bibi, El houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtarik, AAAI Conference on Artificial Intelligence (AAAI 2020)
  • End-to-End Learned, Optically Coded Super-resolution SPAD Camera, Qilin Sun, Jian Zhang, Xiong Dun, Bernard Ghanem, Yifan Peng, Wolfgang Heidrich, ACM Transactions on Graphics (TOG 2020)
  • Guess Where? Actor-Supervision for Spatiotemporal Action Localization, Victor Escorcia, Cuong D Dao, Mihir Jain, Bernard Ghanem, Cees Snoek, Computer Vision and Image Understanding (CVIU 2020)

2019:

  • Learning a strong detector for action localization in videos, Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem, Pattern Recognition Letters (PRL 2019)
  • DeepGCNs: Can GCNs Go as Deep as CNNs?, Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem, International Conference on Computer Vision (ICCV 2019), (Link)
  • 3D Instance Segmentation via Multi-task Metric Learning, Jean Lahoud, Bernard Ghanem, Martin R. Oswald, Marc Pollefeys, International Conference on Computer Vision (ICCV 2019)
  • Detecting small faces in the wild based on generative adversarial network and contextual information, Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem, Pattern Recognition (PR 2019)
  • Semantic Part RCNN for Real-World Pedestrian Detection, Mengmeng Xu, Yancheng Bai, Sisi Qu, Bernard Ghanem, CVPR Workshop on Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge
  • Missing Labels in Object Detection, Mengmeng Xu, Yancheng Bai, Bernard Ghanem, CVPR Workshop on Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge
  • OIL: Observational Imitation Learning, Guohao Li, Matthias Mueller*, Vincent Michael Casser, Neil Smith, Dominik Michels, Bernard Ghanem, Robotics: Science and Systems (RSS 2019), (Link)
  • Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces, Xin Yu, Fatemeh Shiri, Bernard Ghanem, Fatih Porikli, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2019)
  • Leveraging Shape Completion for 3D Siamese Tracking, Silvio Giancola, Jesus Zarzar, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), (Link)
  • Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing, Matthias Müller, Guohao Li, Neil Smith, Vincent Casser, Dominik Michels, Bernard Ghanem, International Workshop on Computer Vision for UAVs (CVPRW 2019)
  • Beyond Weakly-supervised: Pseudo Ground Truth Mining for Missing Bounding-boxes Object Detection, Yongqiang Zhang, Mingli Ding, Yancheng Bai, Mengmeng Xu, Bernard Ghanem, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2019)
  • Deep Layers as Stochastic Solvers, Adel Bibi, Bernard Ghanem, Vladlen Koltun, Rene Ranftl, International Conference on Learning Representations (ICLR 2019)
  • Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement, Rafał Protasiuk, Adel Bibi, Bernard Ghanem, IEEE Winter Conference on Applications of Computer Vision (WACV 2019)
  • A Novel Framework for Robustness Analysis of Visual QA Models, Jiahong Huang, Cuong Dao, Modar Alfadly, Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2019), (Link)

2018:

  • Weakly-supervised object detection via mining pseudo ground truth bounding-boxes, Yongqiang Zhang, Yaicheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem, Pattern Recognition (PR 2018)
  • Driving Policy Transfer via Modularity and Abstraction, Matthias Mueller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun, Conference on Robotic Learning (CoRL 2018), (Link)
  • TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild, Matthias Mueller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem, European Conference on Computer Vision (ECCV 2018)
  • Diagnosing Error in Temporal Action Detectors, Humam Alwassel, Fabian Caba, Victor Escorcia, Bernard Ghanem, European Conference on Computer Vision (ECCV 2018), (Link)
  • Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization, Humam Alwassel, Fabian Caba, Bernard Ghanem, European Conference on Computer Vision (ECCV 2018), (Link)
  • What do I Annotate Next? An Empirical Study of Active Learning for Action Localization, Fabian Caba, Joon-Young Lee, Hailin Jin, Bernard Ghanem, European Conference on Computer Vision (ECCV 2018)
  • Face Super-resolution Guided by Facial Component Heatmaps, Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, Richard Hartley, European Conference on Computer Vision (ECCV 2018)
  • SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network, Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem, European Conference on Computer Vision (ECCV 2018)
  • Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation, Matthias Mueller*, Vincent Casser*, Neil Smith, Dominik Michels, Bernard Ghanem, European Conference on Computer Vision Workshop on Computer Vision for UAVs (ECCVW 2018)
  • Lp-Box ADMM: A Versatile Framework for Integer Programming, Baoyuan Wu* and Bernard Ghanem*, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018)
  • Multi-label Learning with Missing Labels Using Mixed Dependency Graphs, Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu, International Journal on Computer Vision (IJCV 2018)
  • Sim4CV: A photo-realistic simulator for computer vision applications, Matthias Mueller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem, International Journal on Computer Vision (IJCV 2018)
  • W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection, Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
  • ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, Jian Zhang and Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
  • Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input, Adel Bibi, Modar Alfadly, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
  • Finding Tiny Faces in the Wild with Generative Adversarial Network, Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)
  • Tagging Like Humans: Diverse and Distinct Image Annotation, Baoyuan Wu, Weidong Chen, Peng Sun, Siwei Lyu, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), (Link)
  • SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos, Silvio Giancola, Mohieddine Amine, Tarek Dghaily, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018), (Link)
  • Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction Pipeline, Silvio Giancola, Jens Schneider, Peter Wonka, Bernard Ghanem, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018), (Link)
  • Object Oriented Structure from Motion: Can a Scribble Help?, Rahaf Rahal, Daniel C. Asmar, Elie A. Shammas, Bernard Ghanem, pp. 541-548, VISIGRAPP

2017:

  • L0TV: A Sparse Optimization Method for Impulse Noise Image Restoration, Ganzhao Yuan and Bernard Ghanem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2017), (Link)
  • High Order Tensor Formulation for Convolutional Sparse Coding, Adel Bibi and Bernard Ghanem, International Conference on Computer Vision (ICCV 2017)
  • Constrained Convolutional Sparse Coding for Parametric Based Reconstruction Of Line Drawings, Sara Shaheen, Lama Affara, and Bernard Ghanem, International Conference on Computer Vision (ICCV 2017)
  • 2D-Driven 3D Object Detection in RGB-D Images, Jean Lahoud and Bernard Ghanem, International Conference on Computer Vision (ICCV 2017)
  • End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos, Shyamal Buch, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles, British Machine Vision Conference (BMVC 2017)
  • Stroke Style Transfer, Sara Shaheen, Bernard Ghanem, Proceedings of Eurographics (Short Paper), (Link)
  • FFTLasso: Large-Scale Lasso in the Fourier Domain, Adel Bibi, Hani Itani, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2017)
  • Context-Aware Correlation Filter Tracking, Matthias Mueller, Neil Smith, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2017)
  • SCC: Semantic Context Cascade for Efficient Action Detection, Fabian Caba, Wayner Barrios, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2017)
  • Diverse Image Annotation, Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2017)
  • SST: Single-Stream Temporal Action Proposals, Shyamal Buch, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles, Conference on Computer Vision and Pattern Recognition (CVPR 2017)
  • A Matrix Splitting Method for Composite Function Minimization, Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2017), (Link)
  • Multi-scale Fully Convolutional Network for Face Detection in the Wild, Yancheng Bai, Bernard Ghanem, Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017)
  • An Exact Penalty Method for Binary Optimization Based on MPEC Formulation, Ganzhao Yuan, Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2017)
  • Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification, Muhammad Uzair, Faisal Shafait, Bernard Ghanem, Ajmal Mian, Neural Computing and Application (NCAA 2017), (Link)

2016:

  • Target Response Adaptation for Correlation Filter Tracking, Adel Bibi, Matthias Mueller, Bernard Ghanem, European Conference on Computer Vision (ECCV 2016)
  • DAPs: Deep Action Proposals for Action Understanding, Victor Escorcia, Fabian Caba, Juan Carlos Niebles, Bernard Ghanem, European Conference on Computer Vision (ECCV 2016)
  • Large Scale Asset Extraction for Urban Images, Lama Affara, Liangliang Nan, Bernard Ghanem, Peter Wonka, European Conference on Computer Vision (ECCV 2016)
  • A Benchmark and Simulator for UAV Tracking, Matthias Mueller, Neil Smith, Bernard Ghanem, European Conference on Computer Vision (ECCV 2016)
  • Facial Action Unit Recognition under Incomplete Data Based on Multi-label Learning with Missing Labels, Yongqiang Li, Baoyuan Wu, Bernard Ghanem, Yongping Zhao, Hongxun Yao, Qiang Ji, Pattern Recognition (PR 2016)
  • Persistent Aerial Tracking System for UAVs, Matthias Mueller, Gopal Sharma, Neil Smith, Bernard Ghanem, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016)
  • Fish identification from videos captured in uncontrolled underwater environments, Faisal Shafait, Ajmal Mian, Mark Shortis, Bernard Ghanem, Philip Culverhouse, Duane Edgington, Danelle Cline, Mehdi Ravenbakhsh, James Seager, and Euan Harvey, ICES Journal of Marine Science
  • In Defense of Sparse Tracking: Circulant Sparse Tracker, Tianzhu Zhang, Adel Bibi, and Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2016)
  • 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration, Adel Bibi, Tianzhu Zhang, and Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2016)
  • Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos, Fabian Caba, Juan Carlos Niebles, and Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2016)
  • Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning, Baoyuan Wu, Siwei Lyu, and Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2016)
  • A Proximal Alternating Direction Method for Semi-Definite Rank Minimization, Ganzhao Yuan and Bernard Ghanem, AAAI Conference on Artificial Intelligence (AAAI 2016)

2015:

  • SAR: Stroke Authorship Recognition, Sara Shaheen, Alyn Rockwood, and Bernard Ghanem, Computer Graphics Forum
  • ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph, Baoyuan Wu, Siwei Lyu, and Bernard Ghanem, International Conference on Computer Vision (ICCV 2015)
  • What makes an object memorable?, Rachit Dubey*, Joshua Peterson*, Aditya Khosla, Ming-Hsuan Yang, and Bernard Ghanem, International Conference on Computer Vision (ICCV 2015)
  • Intrinsic Scene Decomposition from RGB-D Images, Mohamed Hachama, Bernard Ghanem, and Peter Wonka, International Conference on Computer Vision (ICCV 2015)
  • Multi-Template Scale Adaptive Kernelized Correlation Filters, Adel Bibi and Bernard Ghanem, International Conference on Computer Vision Workshop (ICCVW/VOT 2015)
  • L0TV : A New Method for Image Restoration in the Presence of Impulse Noise, Ganzhao Yuan and Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2015)
  • Robust Manhattan Frame Estimation from a Single RGB-D Image, Bernard Ghanem, Ali Thabet, Juan Carlos Niebles, and Fabian Caba, Conference on Computer Vision and Pattern Recognition (CVPR 2015)
  • On the Relationship between Visual Attributes and Convolutional Networks, Victor Castillo, Juan Carlos Niebles, and Bernard Ghanem, Conference on Computer Vision and Pattern Recognition (CVPR 2015)
  • ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding, Fabian Caba Heilbron, Victor Castillo, Bernard Ghanem, and Juan Carlos Niebles, Conference on Computer Vision and Pattern Recognition (CVPR 2015)
  • Structural Sparse Tracking, Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang, Conference on Computer Vision and Pattern Recognition (CVPR 2015)
  • Action Recognition using Discriminative Structured Trajectory Groups, Indriyati Atmosukarto, Narendra Ahuja, Bernard Ghanem, Winter Conference on Applications of Computer Vision (WACV 2015)
  • Template Assembly for Detailed Urban Reconstruction, Liangliang Nan, Caigui Jiang, Bernard Ghanem, Peter Wonka, Computer Graphics Forum (Proceedings of Eurographics)
  • Designing Camera Networks by Convex Quadratic Programming, Bernard Ghanem, Yuanhao Cao, Peter Wonka, Computer Graphics Forum (Proceedings of Eurographics)
  • Robust Visual Tracking via Exclusive Context Modeling, Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja, IEEE Transactions on Cybernetics

2014:

  • Automated Playbook Generation in Football through Videos, Jagannadan Varadarajan, Indriyati Atmosukarto, Shaunak Ahuja, Bernard Ghanem, Narendra Ahuja, MIT Sloan Sports Analytics Conference
  • Robust Visual Tracking Via Consistent Low-Rank Sparse Learning, Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem, International Journal of Computer Vision (IJCV 2014)
  • Improving Head and Body Pose Estimation through Semi-Supervised Manifold Alignment, Alexandre Heili, Jagannadan Varadarajan, Bernard Ghanem, Narendra Ahuja, Jean-Marc Odobez, International Conference on Image Processing (ICIP 2014)
  • Improving Saliency Models by Predicting Human Fixation Patches, Rachit Dubey, Akshat Dave, Bernard Ghanem, Asian Conference on Computer Vision (ACCV 2014)
  • 3D Aware Correction and Completion of Depth Maps in Piecewise Planar Scenes, Ali Thabet, Jean Lahoud, Daniel Asmar, Bernard Ghanem, Asian Conference on Computer Vision (ACCV 2014)
  • Camera Motion and Surrounding Scene Appearance as Context for Action Recognition, Fabian Caba Heilbron, Ali Thabet, Juan Carlos Niebles, Bernard Ghanem, Asian Conference on Computer Vision (ACCV 2014)
  • BILGO: Bilateral Greedy Optimization for Large Scale Semidefinite Programming, Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem, Neurocomputing Journal

2013:

  • Low-Rank Sparse Coding for Image Classification, Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, International Conference on Computer Vision (ICCV 2013)
  • A Topic Model Approach to Represent and Classify American Football Plays, Jagannadan Varadarajan, Indriyati Atmosukarto, Shaunak Ahuja, Bernard Ghanem, Narendra Ahuja, British Machine Vision Conference (BMVC2013)
  • Robust Visual Tracking via Structured Multi-Task Sparse Learning, Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja, International Journal of Computer Vision (IJCV 2013)
  • Object Tracking by Occlusion Detection via Structured Sparse Learning, Tianzhu Zhang, Bernard Ghanem, Changsheng Xu, Narendra Ahuja, IEEE International Workshop on Computer Vision in Sports (CVsports),
  • Automatic Recognition of Offensive Team Formation in American Football Plays, Indriyati Atmosukarto, Bernard Ghanem, Shaunak Ahuja, Karthik Muthuswamy, Narendra Ahuja, IEEE International Workshop on Computer Vision in Sports (CVsports),
  • Low-Rank Quadratic Semidefinite Programming, Ganzhao Yuan, Zhenjie Zhang*, Bernard Ghanem*, and Zhifeng Hao, Neurocomputing Journal