Torr, Philip H.S.

171 publications

JAIR 2025 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip H. S. Torr

CVPR 2025 Vision-Language Models Do Not Understand Negation Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li, Philip H.S. Torr, Yoon Kim, Marzyeh Ghassemi

NeurIPS 2024 Can Large Language Model Agents Simulate Human Trust Behavior? Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip H.S. Torr, Bernard Ghanem, Guohao Li, Chengxing Xie, Canyu Chen

NeurIPS 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress Ameya Prabhu, Vishaal Udandarao, Philip H.S. Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

JMLR 2024 Label Alignment Regularization for Distribution Shift Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H.S. Torr, Yangchen Pan

NeurIPS 2024 Label Delay in Online Continual Learning Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H.S. Torr, Adel Bibi

AAAI 2024 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr

NeurIPS 2024 No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H.S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

NeurIPS 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S. Torr, Ozan Sener, Puneet K. Dokania

JMLR 2024 Scaling the Convex Barrier with Sparse Dual Algorithms Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H.S. Torr, M. Pawan Kumar

NeurIPS 2024 Secret Collusion Among AI Agents: Multi-Agent Deception via Steganography Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H.S. Torr, Lewis Hammond, Christian Schroeder de Witt

ECCVW 2024 Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania

NeurIPS 2024 Set-Based Neural Network Encoding Without Weight Tying Bruno Andreis, Soro Bedionita, Philip H.S. Torr, Sung Ju Hwang

NeurIPS 2024 Universal In-Context Approximation by Prompting Fully Recurrent Models Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H.S. Torr, Adel Bibi

NeurIPS 2024 What Makes and Breaks Safety Fine-Tuning? a Mechanistic Study Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H.S. Torr, Amartya Sanyal, Puneet K. Dokania

CVPR 2023 Computationally Budgeted Continual Learning: What Does Matter? Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H.S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi

AAAI 2023 Deconstructed Generation-Based Zero-Shot Model Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr

CVPR 2023 Deep Deterministic Uncertainty: A New Simple Baseline Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H.S. Torr, Yarin Gal

CVPRW 2023 Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

ICCV 2023 MOSE: A New Dataset for Video Object Segmentation in Complex Scenes Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H.S. Torr, Song Bai

CVPR 2023 MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices Kejie Li, Jia-Wang Bian, Robert Castle, Philip H.S. Torr, Victor Adrian Prisacariu

CVPR 2023 Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H.S. Torr, Ser-Nam Lim

WACV 2023 RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing Taras Rumezhak, Francisco Girbal Eiras, Philip H.S. Torr, Adel Bibi

ICCVW 2023 Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim

ICCV 2023 Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H.S. Torr, Adel Bibi, Bernard Ghanem

CVPR 2023 Real-Time Evaluation in Online Continual Learning: A New Hope Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H.S. Torr, Bernard Ghanem

CVPR 2023 Reliability in Semantic Segmentation: Are We on the Right Track? Pau de Jorge, Riccardo Volpi, Philip H.S. Torr, Grégory Rogez

AAAI 2023 Sample-Dependent Adaptive Temperature Scaling for Improved Calibration Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

AAAI 2023 Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr

CVPR 2023 TIPI: Test Time Adaptation with Transformation Invariance A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H.S. Torr

ICCV 2023 Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H.S. Torr, Xiao-Ping Zhang, Yansong Tang

ECCV 2022 An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania

CVPR 2022 BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion Kejie Li, Yansong Tang, Victor Adrian Prisacariu, Philip H.S. Torr

AAAI 2022 Combating Adversaries with Anti-Adversaries Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

UAI 2022 Data Dependent Randomized Smoothing Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

AAAI 2022 DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

ECCVW 2022 Diversified Dynamic Routing for Vision Tasks Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim

CVPR 2022 LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H.S. Torr

ECCV 2022 Language Matters: A Weakly Supervised Vision-Language Pre-Training Approach for Scene Text Detection and Spotting Chuhui Xue, Wenqing Zhang, Yu Hao, Shijian Lu, Philip H. S. Torr, Song Bai

IJCAI 2022 Learning to Hash Naturally Sorts Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr

CVPR 2022 Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H.S. Torr, Song Bai, Vincent Y. F. Tan

ECCV 2022 On the Robustness of Quality Measures for GANs Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem

CVPR 2022 PhysFormer: Facial Video-Based Physiological Measurement with Temporal Difference Transformer Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip H.S. Torr, Guoying Zhao

ECCV 2022 SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr

CVPR 2022 Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning Guangrun Wang, Yansong Tang, Liang Lin, Philip H.S. Torr

CVPR 2022 TransMix: Attend to Mix for Vision Transformers Jie-Neng Chen, Shuyang Sun, Ju He, Philip H.S. Torr, Alan Yuille, Song Bai

CVPR 2022 YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H.S. Torr, Hanspeter Pfister

IJCAI 2022 Zero-Shot Logit Adjustment Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr

ICCV 2021 Aggregation with Feature Detection Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi, Wanli Ouyang, Victor Adrian Prisacariu, Philip H.S. Torr

ICCVW 2021 Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr

CVPR 2021 Multi-Shot Temporal Event Localization: A Benchmark Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr

ICCV 2021 Point Transformer Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H.S. Torr, Vladlen Koltun

CVPR 2021 Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr

CVPR 2021 Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H.S. Torr, Li Zhang

ICCV 2021 Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation Feihu Zhang, Oliver J. Woodford, Victor Adrian Prisacariu, Philip H.S. Torr

ICCV 2021 Solving Inefficiency of Self-Supervised Representation Learning Guangrun Wang, Keze Wang, Guangcong Wang, Philip H.S. Torr, Liang Lin

ICCVW 2021 The Ninth Visual Object Tracking VOT2021 Challenge Results Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

AAAI 2021 Using Hindsight to Anchor past Knowledge in Continual Learning Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz

ICCV 2021 Vision Transformer with Progressive Sampling Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H.S. Torr, Wayne Zhang, Dahua Lin

ICLR 2020 A Signal Propagation Perspective for Pruning Neural Networks at Initialization Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr

ECCV 2020 AutoSimulate: (Quickly) Learning Synthetic Data Generation Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet

JMLR 2020 Branch and Bound for Piecewise Linear Neural Network Verification Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H.S. Torr, Pushmeet Kohli, M. Pawan Kumar

ECCV 2020 Few-Shot Action Recognition with Permutation-Invariant Attention Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz

ECCV 2020 GDumb: A Simple Approach That Questions Our Progress in Continual Learning Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania

ICLR 2020 Stable Rank Normalization for Improved Generalization in Neural Networks and GANs Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania

ECCVW 2020 The Eighth Visual Object Tracking VOT2020 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

ECCV 2020 XingGAN for Person Image Generation Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe

WACV 2019 A Conditional Deep Generative Model of People in Natural Images Rodrigo Andrade de Bem, Arnab Ghosh, Adnane Boukhayma, Thalaiyasingam Ajanthan, N. Siddharth, Philip H. S. Torr

ICCVW 2019 An Empirical Study of Detection-Based Video Instance Segmentation Qiang Wang, Yi He, Xiaoyun Yang, Zhao Yang, Philip H. S. Torr

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ICLR 2019 Value Propagation Networks Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier

ICCVW 2019 Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking Jonathon Luiten, Philip H. S. Torr, Bastian Leibe

ECCVW 2018 A Semi-Supervised Deep Generative Model for Human Body Analysis Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr

ECCVW 2018 Devon: Deformable Volume Network for Learning Optical Flow Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr

ICLR 2018 Learn to Pay Attention Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr

ECCV 2018 Long-Term Tracking in the Wild: A Benchmark Jack Valmadre, Luca Bertinetto, Joao F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W.M. Smeulders, Philip H.S. Torr, Efstratios Gavves

ECCV 2018 Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He

ECCV 2018 Weakly- and Semi-Supervised Panoptic Segmentation Qizhu Li, Anurag Arnab, Philip H.S. Torr

CVPR 2017 DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker

CVPR 2017 Deeply Supervised Salient Object Detection with Short Connections Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr

CVPR 2017 Efficient Linear Programming for Dense CRFs Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar

CVPR 2017 End-to-End Representation Learning for Correlation Filter Based Tracking Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr

ICLR 2017 Learning to Superoptimize Programs Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli

CVPR 2017 On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien Valentin, Luigi Di Stefano, Philip H. S. Torr

ICCV 2017 Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction Gurkirt Singh, Suman Saha, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin

CVPR 2017 Pixelwise Instance Segmentation with a Dynamically Instantiated Network Anurag Arnab, Philip H. S. Torr

CVPR 2017 ROAM: A Rich Object Appearance Model with Application to Rotoscoping Ondrej Miksik, Juan-Manuel Perez-Rua, Philip H. S. Torr, Patrick Perez

ICML 2017 Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson

CVPR 2017 Straight to Shapes: Real-Time Detection of Encoded Shapes Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr

ICCVW 2017 The Visual Object Tracking VOT2017 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

ECCV 2016 Coarse-to-Fine Planar Regularization for Dense Monocular Depth Estimation Stephan Liwicki, Christopher Zach, Ondrej Miksik, Philip H. S. Torr

ECCV 2016 Efficient Continuous Relaxations for Dense CRF Alban Desmaison, Rudy Bunel, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar

ECCV 2016 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

ECCVW 2016 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

ECCV 2016 HFS: Hierarchical Feature Selection for Efficient Image Segmentation Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu

ECCV 2016 Higher Order Conditional Random Fields in Deep Neural Networks Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

CVPR 2016 Staple: Complementary Learners for Real-Time Tracking Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr

ECCV 2016 The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He

ECCVW 2016 The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He

ECCV 2016 The Visual Object Tracking VOT2016 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi

ECCVW 2016 The Visual Object Tracking VOT2016 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi

ICCV 2015 Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

CVPR 2015 Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization Julien Valentin, Matthias Niessner, Jamie Shotton, Andrew Fitzgibbon, Shahram Izadi, Philip H. S. Torr

CVPR 2015 Target Identity-Aware Network Flow for Online Multiple Target Tracking Afshin Dehghan, Yicong Tian, Philip H. S. Torr, Mubarak Shah

ECCV 2014 Bilateral Functions for Global Motion Modeling Wen-Yan Daniel Lin, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh N. Do, Philip H. S. Torr

CVPR 2014 Dense Semantic Image Segmentation with Objects and Attributes Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

CVPR 2013 Human Pose Estimation Using a Joint Pixel-Wise and Part-Wise Formulation Lubor Ladicky, Philip H.S. Torr, Andrew Zisserman

CVPR 2013 Mesh Based Semantic Modelling for Indoor and Outdoor Scenes Julien P.C. Valentin, Sunando Sengupta, Jonathan Warrell, Ali Shahrokni, Philip H.S. Torr

CVPR 2012 A Tiered Move-Making Algorithm for General Pairwise MRFs Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr

CVPR 2012 Efficient Discriminative Learning of Parametric Nearest Neighbor Classifiers Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr

CVPR 2012 Efficient Online Structured Output Learning for Keypoint-Based Object Tracking Sam Hare, Amir Saffari, Philip H. S. Torr

ECCV 2012 Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr

ECCV 2012 Taxonomic Multi-Class Prediction and Person Layout Using Efficient Structured Ranking Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr

JMLR 2011 Improved Moves for Truncated Convex Models M. Pawan Kumar, Olga Veksler, Philip H.S. Torr

ICML 2011 Locally Linear Support Vector Machines Lubor Ladicky, Philip H. S. Torr

CVPR 2011 Proposal Generation for Object Detection Using Cascaded Ranking SVMs Ziming Zhang, Jonathan Warrell, Philip H. S. Torr

ICCV 2011 Struck: Structured Output Tracking with Kernels Sam Hare, Amir Saffari, Philip H. S. Torr

CVPR 2011 The Light-Path Less Traveled Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Philip H. S. Torr

CVPR 2010 Discrete Minimum Ratio Curves and Surfaces Fred Nicolls, Philip H. S. Torr

CVPR 2010 Efficient Piecewise Learning for Conditional Random Fields Karteek Alahari, Chris Russell, Philip H. S. Torr

UAI 2010 Exact and Approximate Inference in Associative Hierarchical Networks Using Graph Cuts Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr

ECCV 2010 Graph Cut Based Inference with Co-Occurrence Statistics Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

ECCV 2010 What, Where and How Many? Combining Object Detectors and CRFs Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr

JMLR 2009 An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs M. Pawan Kumar, Vladimir Kolmogorov, Philip H.S. Torr

ICCV 2009 Associative Hierarchical CRFs for Object Class Image Segmentation Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

ICCV 2009 Efficient Discriminative Learning of Parts-Based Models M. Pawan Kumar, Andrew Zisserman, Philip H. S. Torr

ECCV 2008 Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part I David A. Forsyth, Philip H. S. Torr, Andrew Zisserman

ECCV 2008 Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part II David A. Forsyth, Philip H. S. Torr, Andrew Zisserman

ECCV 2008 Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part III David A. Forsyth, Philip H. S. Torr, Andrew Zisserman

ECCV 2008 Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part IV David A. Forsyth, Philip H. S. Torr, Andrew Zisserman

ICML 2008 Efficiently Solving Convex Relaxations for MAP Estimation M. Pawan Kumar, Philip H. S. Torr

CVPR 2008 Exact Inference in Multi-Label CRFs with Higher Order Cliques Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr

CVPR 2008 Global Stereo Reconstruction Under Second Order Smoothness Priors Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid, Andrew W. Fitzgibbon

ICML 2008 On Partial Optimality in Multi-Label MRFs Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr

CVPR 2008 Randomized Trees for Human Pose Detection Grégory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H. S. Torr

CVPR 2008 Reduce, Reuse & Recycle: Efficiently Solving Multi-Label MRFs Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr

CVPR 2008 Robust Higher Order Potentials for Enforcing Label Consistency Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr

ICCV 2007 An Invariant Large Margin Nearest Neighbour Classifier M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman

CVPR 2007 P3 & Beyond: Solving Energies with Higher Order Cliques Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr

ICCV 2007 Using the Pn Potts Model with Learning Methods to Segment Live Cell Images Christopher Russell, Dimitris N. Metaxas, Christophe Restif, Philip H. S. Torr

ECCV 2006 Fast Memory-Efficient Generalized Belief Propagation M. Pawan Kumar, Philip H. S. Torr

ECCV 2006 Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-Marginal Energies Using Dynamic Graph Cuts Pushmeet Kohli, Philip H. S. Torr

ECCV 2006 Multivariate Relevance Vector Machines for Tracking Arasanathan Thayananthan, Ramanan Navaratnam, Björn Stenger, Philip H. S. Torr, Roberto Cipolla

ECCV 2006 PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr

CVPR 2006 Solving Markov Random Fields Using Second Order Cone Programming Relaxations M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman

ICCV 2005 Effciently Solving Dynamic Markov Random Fields Using Graph Cuts Pushmeet Kohli, Philip H. S. Torr

ICCV 2005 Learning Layered Motion Segmentation of Video M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman

CVPR 2005 Multi-View Stereo via Volumetric Graph-Cuts George Vogiatzis, Philip H. S. Torr, Roberto Cipolla

CVPR 2005 OBJ CUT M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman

ECCV 2004 Hand Pose Estimation Using Hierarchical Detection Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla

ECCV 2004 Interactive Image Segmentation Using an Adaptive GMMRF Model Andrew Blake, Carsten Rother, Matthew A. Brown, Patrick Pérez, Philip H. S. Torr

ICCV 2003 Filtering Using a Tree-Based Estimator Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla

ICCV 2003 Gaze Manipulation for One-to-One Teleconferencing Antonio Criminisi, Jamie Shotton, Andrew Blake, Philip H. S. Torr

CVPR 2003 Shape Context and Chamfer Matching in Cluttered Scenes Arasanathan Thayananthan, Bjoern Stenger, Philip H. S. Torr, Roberto Cipolla

AISTATS 2003 Solving Markov Random Fields Using Semi Definite Programming Philip H. S. Torr

ECCV 2002 A Bayesian Estimation of Building Shape Using MCMC Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla

ICCV 2001 Combining Single View Recognition and Multiple View Stereo for Architectural Scenes Anthony R. Dick, Philip H. S. Torr, Simon J. Ruffle, Roberto Cipolla

ICCV 2001 Computationally Efficient Face Detection Sami Romdhani, Philip H. S. Torr, Bernhard Schölkopf, Andrew Blake

ECCV 2000 A Six Point Solution for Structure and Motion Frederik Schaffalitzky, Andrew Zisserman, Richard I. Hartley, Philip H. S. Torr

ECCV 2000 IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus Philip H. S. Torr, Colin Davidson

ECCV 2000 Layer Extraction with a Bayesian Model of Shapes Philip H. S. Torr, Anthony R. Dick, Roberto Cipolla

ICCV 1999 An Integrated Bayesian Approach to Layer Extraction from Image Sequences Philip H. S. Torr, Richard Szeliski, P. Anandan

ECCV 1998 Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor Philip H. S. Torr, Andrew Zisserman

ICCV 1998 Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman

ICCV 1998 Robust Computation and Parametrization of Multiple View Relations Philip H. S. Torr, Andrew Zisserman

CVPR 1997 An Assessment of Information Criteria for Motion Model Selection Philip H. S. Torr

ECCV 1996 3D Model Acquisition from Extended Image Sequences Paul A. Beardsley, Philip H. S. Torr, Andrew Zisserman

ICCV 1995 Robust Detection of Degenerate Configurations for the Fundamental Matrix Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank

ECCV 1994 Stochastic Motion Clustering Philip H. S. Torr, David William Murray