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Philip H. S. Torr

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Learn what matters: cross-domain imitation learning with task-relevant embeddings

Sep 24, 2022
Tim Franzmeyer, Philip H. S. Torr, João F. Henriques

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Raising the Bar on the Evaluation of Out-of-Distribution Detection

Sep 24, 2022
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim

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Dynamic Graph Message Passing Networks for Visual Recognition

Sep 20, 2022
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr

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Memory-Driven Text-to-Image Generation

Aug 15, 2022
Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz

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An Impartial Take to the CNN vs Transformer Robustness Contest

Jul 22, 2022
Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania

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Sample-dependent Adaptive Temperature Scaling for Improved Calibration

Jul 22, 2022
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

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Illusionary Attacks on Sequential Decision Makers and Countermeasures

Jul 20, 2022
Tim Franzmeyer, João F. Henriques, Jakob N. Foerster, Philip H. S. Torr, Adel Bibi, Christian Schroeder de Witt

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SiamMask: A Framework for Fast Online Object Tracking and Segmentation

Jul 05, 2022
Weiming Hu, Qiang Wang, Li Zhang, Luca Bertinetto, Philip H. S. Torr

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RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness

Jun 29, 2022
Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

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