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Philip H. S. Torr

Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation

Jul 18, 2017
Arslan Chaudhry, Puneet K. Dokania, Philip H. S. Torr

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* 28th British Machine Vision Conference (BMVC), 2017

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Straight to Shapes: Real-time Detection of Encoded Shapes

Jul 05, 2017
Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr

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* 16 pages including appendix; Published at CVPR 2017

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Learning to superoptimize programs

Jun 28, 2017
Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli

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* Accepted to ICLR 2017

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On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation

Jun 26, 2017
Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien Valentin, Luigi Di Stefano, Philip H. S. Torr

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* To appear in the proceedings of CVPR 2017

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End-to-end representation learning for Correlation Filter based tracking

Apr 20, 2017
Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr

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* To appear at CVPR 2017

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DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

Apr 14, 2017
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker

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* Accepted at CVPR 2017

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Efficient Linear Programming for Dense CRFs

Feb 14, 2017
Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar

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* 24 pages, 10 figures and 4 tables

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