Philip H. S. Torr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
263
Venues
27
Active years
1991–2025
Best venue rank
A*
Where they publish
- A*CVPR70 papers
- A*ECCV50 papers
- ABMVC43 papers
- A*ICCV29 papers
- A*ICLR19 papers
- A*ICML10 papers
- A*AAAI7 papers
- A*ICRA4 papers
- AWACV3 papers
- BACCV3 papers
- AAISTATS3 papers
- AUAI3 papers
- AIROS3 papers
- A*IJCAI2 papers
- A*SIGGRAPH2 papers
- AMICCAI1 paper
- A*SIGIR1 paper
- NationalFCCM1 paper
- AFPGA1 paper
- BICPR1 paper
- ASC1 paper
- CACML1 paper
- A*ISMAR1 paper
- BICIP1 paper
- A*CHI1 paper
- CICISP1 paper
- AustralasianDICTA1 paper
Papers
263 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Vision-Language Models Do Not Understand Negation. | Kumail Alhamoud, Shaden Alshammari, Yonglong Tian, Guohao Li, Philip H. S. Torr, Yoon Kim, Marzyeh Ghassemi |
| 2024 | AAAI | 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 |
| 2024 | ECCV | Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. | Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania |
| 2024 | ECCV | On Pretraining Data Diversity for Self-Supervised Learning. | Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip H. S. Torr, Adel Bibi, Bernard Ghanem |
| 2024 | ECCV | WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. | Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin |
| 2024 | ECCV | Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation. | Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grgory Rogez |
| 2024 | ICML | Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. | Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schrder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Rttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster |
| 2023 | AAAI | Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation. | Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr |
| 2023 | AAAI | Deconstructed Generation-Based Zero-Shot Model. | Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr |
| 2023 | AAAI | Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. | Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania |
| 2023 | BMVC | Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. | Jindong Gu, Fangyun Wei, Philip H. S. Torr, Han Hu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Reliability in Semantic Segmentation: Are we on the Right Track? | Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grgory Rogez |
| 2023 | CVPR | MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices. | Kejie Li, Jia-Wang Bian, Robert Castle, Philip H. S. Torr, Victor Adrian Prisacariu |
| 2023 | CVPR | Deep Deterministic Uncertainty: A New Simple Baseline. | Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal |
| 2023 | CVPR | 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 |
| 2023 | CVPR | TIPI: Test Time Adaptation with Transformation Invariance. | A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? | Runjia Li, Shuyang Sun, Mohamed Elhoseiny, Philip H. S. Torr |
| 2023 | ICLR | Is Synthetic Data from Generative Models Ready for Image Recognition? | Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi |
| 2023 | ICLR | How robust is unsupervised representation learning to distribution shift? | Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal |
| 2023 | ICLR | Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. | Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao |
| 2023 | ICML | Graph Inductive Biases in Transformers without Message Passing. | Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim |
| 2023 | ICML | Certifying Ensembles: A General Certification Theory with S-Lipschitzness. | Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi |
| 2023 | WACV | RANCER: Non-Axis Aligned Anisotropic Certification with Randomized Smoothing. | Taras Rumezhak, Francisco Girbal Eiras, Philip H. S. Torr, Adel Bibi |
| 2022 | AAAI | DeformRS: Certifying Input Deformations with Randomized Smoothing. | Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem |
| 2022 | AAAI | Combating Adversaries with Anti-adversaries. | Motasem Alfarra, Juan C. Prez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem |
| 2022 | ACCV | Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer. | Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz |
| 2022 | AISTATS | Amortized Rejection Sampling in Universal Probabilistic Programming. | Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schrder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood |
| 2022 | BMVC | Image-to-Image Translation with Text Guidance. | Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz |
| 2022 | BMVC | Memory-Driven Text-to-Image Generation. | Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz |
| 2022 | CVPR | 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 Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister |
| 2022 | CVPR | LAVT: Language-Aware Vision Transformer for Referring Image Segmentation. | Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr |
| 2022 | CVPR | TransMix: Attend to Mix for Vision Transformers. | Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai |
| 2022 | CVPR | BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion. | Kejie Li, Yansong Tang, Victor Adrian Prisacariu, Philip H. S. Torr |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. | Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr |
| 2022 | CVPR | PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer. | Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip H. S. Torr, Guoying Zhao |
| 2022 | ECCV | On the Robustness of Quality Measures for GANs. | Motasem Alfarra, Juan C. Prez, Anna Frhstck, Philip H. S. Torr, Peter Wonka, Bernard Ghanem |
| 2022 | ECCV | Diversified Dynamic Routing for Vision Tasks. | Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim |
| 2022 | ECCV | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. | Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr |
| 2022 | ECCV | An Impartial Take to the CNN vs Transformer Robustness Contest. | Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania |
| 2022 | ECCV | 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 |
| 2022 | ICLR | Learning Multimodal VAEs through Mutual Supervision. | Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, Siddharth Narayanaswamy |
| 2022 | ICLR | KL Guided Domain Adaptation. | A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atilim Gunes Baydin |
| 2022 | ICLR | Gradient Matching for Domain Generalization. | Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve |
| 2022 | ICML | Adversarial Masking for Self-Supervised Learning. | Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek |
| 2022 | ICML | Communicating via Markov Decision Processes. | Samuel Sokota, Christian A. Schrder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster |
| 2022 | IJCAI | Zero-Shot Logit Adjustment. | Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr |
| 2022 | IJCAI | Learning to Hash Naturally Sorts. | Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr |
| 2022 | MICCAI | Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration. | Ziyi Shen, Qianye Yang, Yuming Shen, Francesco Giganti, Vasilis Stavrinides, Richard E. Fan, Caroline M. Moore, Mirabela Rusu, Geoffrey A. Sonn, Philip H. S. Torr, Dean C. Barratt, Yipeng Hu |
| 2022 | SIGIR | MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. | Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr |
| 2022 | UAI | Data dependent randomized smoothing. | Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem |
| 2021 | AAAI | Using Hindsight to Anchor Past Knowledge in Continual Learning. | Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz |
| 2021 | AISTATS | Mirror Descent View for Neural Network Quantization. | Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania |
| 2021 | BMVC | Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions. | Zhao Yang, Yansong Tang, Luca Bertinetto, Hengshuang Zhao, Philip H. S. Torr |
| 2021 | CVPR | Multi-Shot Temporal Event Localization: A Benchmark. | Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr |
| 2021 | CVPR | Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. | Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr |
| 2021 | CVPR | 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 |
| 2021 | FCCM | Scalable FPGA Median Filtering via a Directional Median Cascade. | Oscar Rahnama, Stuart Golodetz, Tommaso Cavallari, Philip H. S. Torr |
| 2021 | ICCV | Aggregation with Feature Detection. | Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi, Wanli Ouyang, Victor Prisacariu, Philip H. S. Torr |
| 2021 | ICCV | Solving Inefficiency of Self-supervised Representation Learning. | Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin |
| 2021 | ICCV | Vision Transformer with Progressive Sampling. | Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin |
| 2021 | ICCV | Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation. | Feihu Zhang, Oliver J. Woodford, Victor Prisacariu, Philip H. S. Torr |
| 2021 | ICCV | Point Transformer. | Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun |
| 2021 | ICLR | Progressive Skeletonization: Trimming more fat from a network at initialization. | Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grgory Rogez, Puneet K. Dokania |
| 2021 | ICLR | Capturing Label Characteristics in VAEs. | Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, Siddharth Narayanaswamy, Tom Rainforth |
| 2021 | ICLR | Understanding the effects of data parallelism and sparsity on neural network training. | Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr, Martin Jaggi |
| 2021 | ICLR | Scaling the Convex Barrier with Active Sets. | Alessandro De Palma, Harkirat S. Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar |
| 2021 | ICLR | How Benign is Benign Overfitting ? | Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr |
| 2021 | ICLR | Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models. | Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth |
| 2020 | BMVC | Bipartite Graph Reasoning GANs for Person Image Generation. | Hao Tang, Song Bai, Philip H. S. Torr, Nicu Sebe |
| 2020 | CVPR | Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. | Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe |
| 2020 | CVPR | Cross-Modal Deep Face Normals With Deactivable Skip Connections. | Victoria Fernndez Abrevaya, Adnane Boukhayma, Philip H. S. Torr, Edmond Boyer |
| 2020 | CVPR | ManiGAN: Text-Guided Image Manipulation. | Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr |
| 2020 | CVPR | Unifying Training and Inference for Panoptic Segmentation. | Qizhu Li, Xiaojuan Qi, Philip H. S. Torr |
| 2020 | CVPR | Global Texture Enhancement for Fake Face Detection in the Wild. | Zhengzhe Liu, Xiaojuan Qi, Philip H. S. Torr |
| 2020 | CVPR | Siam R-CNN: Visual Tracking by Re-Detection. | Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe |
| 2020 | CVPR | Holistically-Attracted Wireframe Parsing. | Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr |
| 2020 | CVPR | Dynamic Graph Message Passing Networks. | Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr |
| 2020 | ECCV | AutoSimulate: (Quickly) Learning Synthetic Data Generation. | Harkirat Singh Behl, Atilim Gnes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet |
| 2020 | ECCV | Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection. | Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot |
| 2020 | ECCV | The Eighth Visual Object Tracking VOT2020 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernndez, Alexander G. Hauptmann, Alireza Memarmoghadam, lvaro Garca-Martn, 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 Jremo 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, Jess Bescs, 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. Schn, 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 |
| 2020 | ECCV | Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation. | Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip H. S. Torr, Ambrish Tyagi |
| 2020 | ECCV | GDumb: A Simple Approach that Questions Our Progress in Continual Learning. | Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania |
| 2020 | ECCV | XingGAN for Person Image Generation. | Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe |
| 2020 | ECCV | Deep FusionNet for Point Cloud Semantic Segmentation. | Feihu Zhang, Jin Fang, Benjamin W. Wah, Philip H. S. Torr |
| 2020 | ECCV | Domain-Invariant Stereo Matching Networks. | Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin W. Wah, Philip H. S. Torr |
| 2020 | ECCV | Few-Shot Action Recognition with Permutation-Invariant Attention. | Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz |
| 2020 | FPGA | Scalable FPGA Median Filtering using Multiple Efficient Passes. | Oscar Rahnama, Tommaso Cavallari, Philip H. S. Torr, Stuart Golodetz |
| 2020 | ICLR | A Signal Propagation Perspective for Pruning Neural Networks at Initialization. | Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr |
| 2020 | ICLR | Stable Rank Normalization for Improved Generalization in Neural Networks and GANs. | Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania |
| 2020 | ICPR | SECI-GAN: Semantic and Edge Completion for dynamic objects removal. | Francesco Pinto, Andrea Romanoni, Matteo Matteucci, Philip H. S. Torr |
| 2020 | IROS | Meta-Learning Deep Visual Words for Fast Video Object Segmentation. | Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab, Philip H. S. Torr |
| 2020 | ICRA | Instance Segmentation of LiDAR Point Clouds. | Feihu Zhang, Chenye Guan, Jin Fang, Song Bai, Ruigang Yang, Philip H. S. Torr, Victor Prisacariu |
| 2020 | WACV | Devon: Deformable Volume Network for Learning Optical Flow. | Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr |
| 2020 | UAI | Lagrangian Decomposition for Neural Network Verification. | Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar |
| 2019 | BMVC | Dual Graph Convolutional Network for Semantic Segmentation. | Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr |
| 2019 | CVPR | Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. | Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki |
| 2019 | CVPR | 3D Hand Shape and Pose From Images in the Wild. | Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr |
| 2019 | CVPR | Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. | Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh |
| 2019 | CVPR | Learning to Adapt for Stereo. | Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr |
| 2019 | CVPR | Fast Online Object Tracking and Segmentation: A Unifying Approach. | Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H. S. Torr |
| 2019 | CVPR | GA-Net: Guided Aggregation Net for End-To-End Stereo Matching. | Feihu Zhang, Victor Adrian Prisacariu, Ruigang Yang, Philip H. S. Torr |
| 2019 | ICCV | Proximal Mean-Field for Neural Network Quantization. | Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr |
| 2019 | ICCV | Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. | Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman |
| 2019 | ICCV | Anchor Diffusion for Unsupervised Video Object Segmentation. | Zhao Yang, Qiang Wang, Luca Bertinetto, Song Bai, Weiming Hu, Philip H. S. Torr |
| 2019 | ICLR | Meta-learning with differentiable closed-form solvers. | Luca Bertinetto, Joo F. Henriques, Philip H. S. Torr, Andrea Vedaldi |
| 2019 | ICLR | Snip: single-Shot Network Pruning based on Connection sensitivity. | Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr |
| 2019 | ICLR | Value Propagation Networks. | Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier |
| 2019 | WACV | 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 |
| 2019 | SC | Etalumis: bringing probabilistic programming to scientific simulators at scale. | Atilim Gnes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood |
| 2018 | ACML | Deep Fully-Connected Part-Based Models for Human Pose Estimation. | Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr |
| 2018 | BMVC | Incremental Tube Construction for Human Action Detection. | Harkirat S. Behl, Michael Sapienza, Gurkirt Singh, Suman Saha, Fabio Cuzzolin, Philip H. S. Torr |
| 2018 | CVPR | On the Robustness of Semantic Segmentation Models to Adversarial Attacks. | Anurag Arnab, Ondrej Miksik, Philip H. S. Torr |
| 2018 | CVPR | Multi-Agent Diverse Generative Adversarial Networks. | Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H. S. Torr, Puneet Kumar Dokania |
| 2018 | CVPR | FlipDial: A Generative Model for Two-Way Visual Dialogue. | Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr |
| 2018 | CVPR | Learning to Compare: Relation Network for Few-Shot Learning. | Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales |
| 2018 | ECCV | 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 |
| 2018 | ECCV | Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. | Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, 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, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, 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-Moivar, 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 |
| 2018 | ECCV | Weakly- and Semi-supervised Panoptic Segmentation. | Qizhu Li, Anurag Arnab, Philip H. S. Torr |
| 2018 | ECCV | Devon: Deformable Volume Network for Learning Optical Flow. | Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr |
| 2018 | ECCV | Long-Term Tracking in the Wild: A Benchmark. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W. M. Smeulders, Philip H. S. Torr, Efstratios Gavves |
| 2018 | ICLR | Learn to Pay Attention. | Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr |
| 2018 | ISMAR | Live Collaborative Large-Scale Dense 3D Reconstruction Using Consumer-Grade Hardware. | Stuart Golodetz, Tommaso Cavallari, Nicholas A. Lord, Victor Adrian Prisacariu, David William Murray, Philip H. S. Torr |
| 2017 | BMVC | Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation. | Arslan Chaudhry, Puneet Kumar Dokania, Philip H. S. Torr |
| 2017 | BMVC | Holistic, Instance-level Human Parsing. | Qizhu Li, Anurag Arnab, Philip H. S. Torr |
| 2017 | CVPR | Efficient Linear Programming for Dense CRFs. | Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar |
| 2017 | CVPR | Pixelwise Instance Segmentation with a Dynamically Instantiated Network. | Anurag Arnab, Philip H. S. Torr |
| 2017 | CVPR | On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. | Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi Di Stefano, Philip H. S. Torr |
| 2017 | CVPR | Deeply Supervised Salient Object Detection with Short Connections. | Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr |
| 2017 | CVPR | Straight to Shapes: Real-Time Detection of Encoded Shapes. | Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr |
| 2017 | CVPR | 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 |
| 2017 | CVPR | ROAM: A Rich Object Appearance Model with Application to Rotoscoping. | Ondrej Miksik, Juan-Manuel Prez-Ra, Philip H. S. Torr, Patrick Prez |
| 2017 | CVPR | End-to-End Representation Learning for Correlation Filter Based Tracking. | Jack Valmadre, Luca Bertinetto, Joo F. Henriques, Andrea Vedaldi, Philip H. S. Torr |
| 2017 | ICCV | Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction. | Gurkirt Singh, Suman Saha, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin |
| 2017 | ICLR | Learning to superoptimize programs. | Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli |
| 2017 | ICML | Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. | Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson |
| 2017 | ICRA | Random forests versus Neural Networks - What's best for camera localization? | Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr |
| 2016 | ACCV | Joint Training of Generic CNN-CRF Models with Stochastic Optimization. | Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother |
| 2016 | BMVC | Bottom-up Instance Segmentation using Deep Higher-Order CRFs. | Anurag Arnab, Philip H. S. Torr |
| 2016 | BMVC | Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos. | Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin |
| 2016 | BMVC | Fully-trainable deep matching. | James Thewlis, Shuai Zheng, Philip H. S. Torr, Andrea Vedaldi |
| 2016 | CVPR | Staple: Complementary Learners for Real-Time Tracking. | Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr |
| 2016 | ECCV | Higher Order Conditional Random Fields in Deep Neural Networks. | Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr |
| 2016 | ECCV | Fully-Convolutional Siamese Networks for Object Tracking. | Luca Bertinetto, Jack Valmadre, Joo F. Henriques, Andrea Vedaldi, Philip H. S. Torr |
| 2016 | ECCV | 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 |
| 2016 | ECCV | Efficient Continuous Relaxations for Dense CRF. | Alban Desmaison, Rudy Bunel, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar |
| 2016 | ECCV | The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. | Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Hger, Amanda Berg, Abdelrahman Eldesokey, Jrgen Ahlberg, Luka Cehovin, Toms Vojr, Alan Lukezic, Gustavo Fernndez, Alfredo Petrosino, lvaro Garca-Martn, Andrs Sols 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, Jos M. Martnez, 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 Laganire, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hbner, Xin Li, Yang Li, Zhan Xu, Zhenyu He |
| 2016 | ECCV | The Visual Object Tracking VOT2016 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Toms Vojr, Gustav Hger, Alan Lukezic, Gustavo Fernndez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, lvaro Garca-Martn, Andrs Sols Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martnez, 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, Joo F. Henriques, Jochen Lang, Jongwon Choi, Jos M. Martnez, 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 Laganire, 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 Hbner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi |
| 2016 | ECCV | Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation. | Stephan Liwicki, Christopher Zach, Ondrej Miksik, Philip H. S. Torr |
| 2016 | ICIP | Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization. | Shrenik Lad, Bernardino Romera-Paredes, Julien P. C. Valentin, Philip H. S. Torr, Devi Parikh |
| 2015 | BMVC | Joint Object-Material Category Segmentation from Audio-Visual Cues. | Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr |
| 2015 | BMVC | Prototypical Priors: From Improving Classification to Zero-Shot Learning. | Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip H. S. Torr |
| 2015 | CHI | The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces. | Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Niener, Stuart Golodetz, Stephen L. Hicks, Patrick Prez, Shahram Izadi, Philip H. S. Torr |
| 2015 | CVPR | Target Identity-aware Network Flow for online multiple target tracking. | Afshin Dehghan, Yicong Tian, Philip H. S. Torr, Mubarak Shah |
| 2015 | CVPR | Exploiting uncertainty in regression forests for accurate camera relocalization. | Julien P. C. Valentin, Matthias Niener, Jamie Shotton, Andrew W. Fitzgibbon, Shahram Izadi, Philip H. S. Torr |
| 2015 | ICCV | 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 |
| 2015 | ICML | An embarrassingly simple approach to zero-shot learning. | Bernardino Romera-Paredes, Philip H. S. Torr |
| 2015 | IROS | Incremental dense multi-modal 3D scene reconstruction. | Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Prez, Philip H. S. Torr |
| 2015 | ICRA | Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction. | Vibhav Vineet, Ondrej Miksik, Morten Lidegaard, Matthias Niener, Stuart Golodetz, Victor Adrian Prisacariu, Olaf Khler, David William Murray, Shahram Izadi, Patrick Prez, Philip H. S. Torr |
| 2015 | SIGGRAPH | SemanticPaint: interactive segmentation and learning of 3D worlds. | Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Khler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr |
| 2015 | SIGGRAPH | SemanticPaint: interactive segmentation and learning of 3D world. | Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Niener, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr |
| 2014 | BMVC | Distributed Non-convex ADMM-based inference in large-scale random fields. | Ondrej Miksik, Vibhav Vineet, Patrick Prez, Philip H. S. Torr |
| 2014 | CVPR | BING: Binarized Normed Gradients for Objectness Estimation at 300fps. | Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr |
| 2014 | CVPR | 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 |
| 2014 | ECCV | The Visual Object Tracking VOT2014 Challenge Results. | Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Toms Vojr, Gustavo Fernndez, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Hger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, Joo F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer fjll, 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 |
| 2014 | ECCV | Bilateral Functions for Global Motion Modeling. | Wen-Yan Daniel Lin, Ming-Ming Cheng, Jiangbo Lu, Hongsheng Yang, Minh N. Do, Philip H. S. Torr |
| 2013 | CVPR | Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. | Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman |
| 2013 | CVPR | Mesh Based Semantic Modelling for Indoor and Outdoor Scenes. | Julien P. C. Valentin, Sunando Sengupta, Jonathan Warrell, Ali Shahrokni, Philip H. S. Torr |
| 2013 | ICRA | Urban 3D semantic modelling using stereo vision. | Sunando Sengupta, Eric Greveson, Ali Shahrokni, Philip H. S. Torr |
| 2012 | ACCV | A Robust Stereo Prior for Human Segmentation. | Glenn Sheasby, Julien P. C. Valentin, Nigel T. Crook, Philip H. S. Torr |
| 2012 | BMVC | Latent SVMs for Human Detection with a Locally Affine Deformation Field. | Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman |
| 2012 | BMVC | Learning discriminative space-time actions from weakly labelled videos. | Michael Sapienza, Fabio Cuzzolin, Philip H. S. Torr |
| 2012 | BMVC | Scalable Cascade Inference for Semantic Image Segmentation. | Paul Sturgess, Lubor Ladicky, Nigel T. Crook, Philip H. S. Torr |
| 2012 | BMVC | Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference. | Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr |
| 2012 | CVPR | Efficient online structured output learning for keypoint-based object tracking. | Sam Hare, Amir Saffari, Philip H. S. Torr |
| 2012 | CVPR | A tiered move-making algorithm for general pairwise MRFs. | Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr |
| 2012 | CVPR | Efficient discriminative learning of parametric nearest neighbor classifiers. | Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr |
| 2012 | ECCV | Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking. | Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr |
| 2012 | ECCV | Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. | Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr |
| 2012 | IROS | Automatic dense visual semantic mapping from street-level imagery. | Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H. S. Torr |
| 2011 | BMVC | Hand detection using multiple proposals. | Arpit Mittal, Andrew Zisserman, Philip H. S. Torr |
| 2011 | BMVC | Human Instance Segmentation from Video using Detector-based Conditional Random Fields. | Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr |
| 2011 | CVPR | The light-path less traveled. | Srikumar Ramalingam, Sofien Bouaziz, Peter F. Sturm, Philip H. S. Torr |
| 2011 | CVPR | Proposal generation for object detection using cascaded ranking SVMs. | Ziming Zhang, Jonathan Warrell, Philip H. S. Torr |
| 2011 | ICCV | Struck: Structured output tracking with kernels. | Sam Hare, Amir Saffari, Philip H. S. Torr |
| 2011 | ICML | Locally Linear Support Vector Machines. | Lubor Ladicky, Philip H. S. Torr |
| 2010 | BMVC | Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. | Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr |
| 2010 | BMVC | StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers. | Jonathan Warrell, Philip H. S. Torr, Simon Prince |
| 2010 | CVPR | Efficient piecewise learning for conditional random fields. | Karteek Alahari, Chris Russell, Philip H. S. Torr |
| 2010 | CVPR | Discrete minimum ratio curves and surfaces. | Fred Nicolls, Philip H. S. Torr |
| 2010 | ECCV | Graph Cut Based Inference with Co-occurrence Statistics. | Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr |
| 2010 | ECCV | What, Where and How Many? Combining Object Detectors and CRFs. | Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr |
| 2010 | UAI | Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. | Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr |
| 2009 | BMVC | Combining Appearance and Structure from Motion Features for Road Scene Understanding. | Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr |
| 2009 | ICCV | Efficient discriminative learning of parts-based models. | M. Pawan Kumar, Andrew Zisserman, Philip H. S. Torr |
| 2009 | ICCV | Associative hierarchical CRFs for object class image segmentation. | Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr |
| 2008 | BMVC | From Visual Query to Visual Portrayal. | Ali Shahrokni, Christopher Mei, Philip H. S. Torr, Ian D. Reid |
| 2008 | CVPR | Reduce, reuse & recycle: Efficiently solving multi-label MRFs. | Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr |
| 2008 | CVPR | Robust higher order potentials for enforcing label consistency. | Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr |
| 2008 | CVPR | Exact inference in multi-label CRFs with higher order cliques. | Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr |
| 2008 | CVPR | Randomized trees for human pose detection. | Grgory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite, Philip H. S. Torr |
| 2008 | CVPR | Global stereo reconstruction under second order smoothness priors. | Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid, Andrew W. Fitzgibbon |
| 2008 | ICISP | Body Language Based Individual Identification in Video Using Gait and Actions. | Yogarajah Pratheepan, Philip H. S. Torr, Joan V. Condell, Girijesh Prasad |
| 2008 | ICML | On partial optimality in multi-label MRFs. | Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr |
| 2008 | ICML | Efficiently solving convex relaxations for MAP estimation. | M. Pawan Kumar, Philip H. S. Torr |
| 2007 | BMVC | On New View Synthesis Using Multiview Stereo. | Oliver J. Woodford, Ian D. Reid, Philip H. S. Torr, Andrew W. Fitzgibbon |
| 2007 | CVPR | P3 & Beyond: Solving Energies with Higher Order Cliques. | Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr |
| 2007 | DICTA | Interactive 3D Model Completion. | Anton van den Hengel, Anthony R. Dick, Thorsten Thormhlen, Ben Ward, Philip H. S. Torr |
| 2007 | ICCV | An Invariant Large Margin Nearest Neighbour Classifier. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2007 | ICCV | Using the P | Christopher Russell, Dimitris N. Metaxas, Christophe Restif, Philip H. S. Torr |
| 2006 | BMVC | Building Models of Regular Scenes from Structure and Motion. | Anton van den Hengel, Anthony R. Dick, Thorsten Thormhlen, Ben Ward, Philip H. S. Torr |
| 2006 | BMVC | Regression-Based Human Motion Capture From Voxel Data. | Yunda Sun, Matthieu Bray, Arasanathan Thayananthan, B. Yuan, Philip H. S. Torr |
| 2006 | BMVC | Fields of Experts for Image-based Rendering. | Oliver J. Woodford, Ian D. Reid, Philip H. S. Torr, Andrew W. Fitzgibbon |
| 2006 | CVPR | Solving Markov Random Fields using Second Order Cone Programming Relaxations. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2006 | ECCV | PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts. | Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr |
| 2006 | ECCV | Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts. | Pushmeet Kohli, Philip H. S. Torr |
| 2006 | ECCV | Fast Memory-Efficient Generalized Belief Propagation. | M. Pawan Kumar, Philip H. S. Torr |
| 2006 | ECCV | Multivariate Relevance Vector Machines for Tracking. | Arasanathan Thayananthan, Ramanan Navaratnam, Bjrn Stenger, Philip H. S. Torr, Roberto Cipolla |
| 2005 | BMVC | Hierarchical Part-Based Human Body Pose Estimation. | Ramanan Navaratnam, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla |
| 2005 | CVPR | OBJ CUT. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2005 | CVPR | Multi-View Stereo via Volumetric Graph-Cuts. | George Vogiatzis, Philip H. S. Torr, Roberto Cipolla |
| 2005 | ICCV | Effciently Solving Dynamic Markov Random Fields Using Graph Cuts. | Pushmeet Kohli, Philip H. S. Torr |
| 2005 | ICCV | Learning Layered Motion Segmentation of Video. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2004 | BMVC | Extending Pictorial Structures for Object Recognition. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2004 | BMVC | Likelihood Models For Template Matching using the PDF Projection Theorem. | Arasanathan Thayananthan, Ramanan Navaratnam, Philip H. S. Torr, Roberto Cipolla |
| 2004 | BMVC | Reconstructing Relief Surfaces. | George Vogiatzis, Philip H. S. Torr, Steven M. Seitz, Roberto Cipolla |
| 2004 | ECCV | Interactive Image Segmentation Using an Adaptive GMMRF Model. | Andrew Blake, Carsten Rother, Matthew A. Brown, Patrick Prez, Philip H. S. Torr |
| 2004 | ECCV | Hand Pose Estimation Using Hierarchical Detection. | Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla |
| 2003 | AISTATS | Solving Markov Random Fields using Semi Definite Programming. | Philip H. S. Torr |
| 2003 | BMVC | Invariant Fitting of Two View Geometry. | Andrew W. Fitzgibbon, Philip H. S. Torr |
| 2003 | BMVC | Learning a Kinematic Prior for Tree-Based Filtering. | Arasanathan Thayananthan, Bjrn Stenger, Philip H. S. Torr, Roberto Cipolla |
| 2003 | BMVC | Bayesian Stochastic Mesh Optimization for 3D reconstruction. | George Vogiatzis, Philip H. S. Torr, Roberto Cipolla |
| 2003 | CVPR | Shape Context and Chamfer Matching in Cluttered Scenes. | Arasanathan Thayananthan, Bjoern Stenger, Philip H. S. Torr, Roberto Cipolla |
| 2003 | ICCV | Gaze Manipulation for One-to-one Teleconferencing. | Antonio Criminisi, Jamie Shotton, Andrew Blake, Philip H. S. Torr |
| 2003 | ICCV | Filtering Using a Tree-Based Estimator. | Bjoern Stenger, Arasanathan Thayananthan, Philip H. S. Torr, Roberto Cipolla |
| 2002 | BMVC | NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag. | Darren R. Myatt, Philip H. S. Torr, Slawomir J. Nasuto, J. Mark Bishop, R. Craddock |
| 2002 | BMVC | Dense Stereo Using Pivoted Dynamic. | Philip H. S. Torr, Antonio Criminisi |
| 2002 | ECCV | A Bayesian Estimation of Building Shape Using MCMC. | Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla |
| 2001 | ICCV | Combining Single View Recognition and Multiple View Stereo for Architectural Scenes. | Anthony R. Dick, Philip H. S. Torr, Simon J. Ruffle, Roberto Cipolla |
| 2001 | ICCV | Computationally Efficient Face Detection. | Sami Romdhani, Philip H. S. Torr, Bernhard Schlkopf, Andrew Blake |
| 2000 | BMVC | Automatic 3D Modelling of Architecture. | Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla |
| 2000 | ECCV | A Six Point Solution for Structure and Motion. | Frederik Schaffalitzky, Andrew Zisserman, Richard I. Hartley, Philip H. S. Torr |
| 2000 | ECCV | IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. | Philip H. S. Torr, Colin Davidson |
| 2000 | ECCV | Layer Extraction with a Bayesian Model of Shapes. | Philip H. S. Torr, Anthony R. Dick, Roberto Cipolla |
| 1999 | ICCV | An Integrated Bayesian Approach to Layer Extraction from Image Sequences. | Philip H. S. Torr, Richard Szeliski, P. Anandan |
| 1998 | ECCV | Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor. | Philip H. S. Torr, Andrew Zisserman |
| 1998 | ICCV | Maintaining Multiple Motion Model Hypotheses Through Many Views to Recover Matching and Structure. | Philip H. S. Torr, Andrew W. Fitzgibbon, Andrew Zisserman |
| 1998 | ICCV | Robust Computation and Parametrization of Multiple View Relations. | Philip H. S. Torr, Andrew Zisserman |
| 1997 | CVPR | An Assessment of Information Criteria for Motion Model Selection. | Philip H. S. Torr |
| 1996 | BMVC | Robust Parameterization and Computation of the Trifocal Tensor. | Philip H. S. Torr, Andrew Zisserman |
| 1996 | ECCV | 3D Model Acquisition from Extended Image Sequences. | Paul A. Beardsley, Philip H. S. Torr, Andrew Zisserman |
| 1995 | ICCV | Robust Detection of Degenerate Configurations for the Fundamental Matrix. | Philip H. S. Torr, Andrew Zisserman, Stephen J. Maybank |
| 1994 | BMVC | Robust Vision. | Philip H. S. Torr, Paul A. Beardsley, David William Murray |
| 1994 | ECCV | Stochastic Motion Clustering. | Philip H. S. Torr, David William Murray |
| 1992 | BMVC | Statistical Detection of Independent Movement from a Moving Camera. | Philip H. S. Torr, David William Murray |
| 1991 | BMVC | Cooperating Motion Processes. | Philip H. S. Torr, T. Wong, David William Murray, Andrew Zisserman |