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Philip Torr
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Unsupervised Contrastive Domain Adaptation for Semantic Segmentation


Apr 18, 2022
Feihu Zhang, Vladlen Koltun, Philip Torr, René Ranftl, Stephan R. Richter

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MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning


Apr 18, 2022
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip Torr

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* This paper was accepted at SIGIR 2022 
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Task-Agnostic Robust Representation Learning


Mar 15, 2022
A. Tuan Nguyen, Ser Nam Lim, Philip Torr

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Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting


Mar 08, 2022
Chuhui Xue, Yu Hao, Shijian Lu, Philip Torr, Song Bai

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Gradients without Backpropagation


Feb 17, 2022
Atılım Güneş Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip Torr

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* 10 pages, 6 figures 
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Deeply Explain CNN via Hierarchical Decomposition


Jan 23, 2022
Ming-Ming Cheng, Peng-Tao Jiang, Ling-Hao Han, Liang Wang, Philip Torr

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Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning


Jan 03, 2022
Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, Vincent Y. F. Tan

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PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer


Nov 23, 2021
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip Torr, Guoying Zhao

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Adversarial Examples on Segmentation Models Can be Easy to Transfer


Nov 22, 2021
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip Torr

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