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Philip H. S. Torr

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University of Oxford

Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Feb 23, 2021
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal

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Shape-Tailored Deep Neural Networks

Feb 16, 2021
Naeemullah Khan, Angira Sharma, Ganesh Sundaramoorthi, Philip H. S. Torr

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Occluded Video Instance Segmentation

Feb 08, 2021
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip H. S. Torr, Song Bai

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Scaling the Convex Barrier with Sparse Dual Algorithms

Jan 26, 2021
Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar

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Scaling the Convex Barrier with Active Sets

Jan 14, 2021
Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar

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Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Dec 31, 2020
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang

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On Batch Normalisation for Approximate Bayesian Inference

Dec 24, 2020
Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal

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Multi-shot Temporal Event Localization: a Benchmark

Dec 17, 2020
Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr

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