Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, Li Zhang, Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers, World Artificial Intelligence Conference (WAIC), Youth Outstanding Paper.
F. Eiras, A. Bibi, R. Bunel, K. Dj Dvijotham, P. H. S. Torr, M. Pawan Kumar, Provably Correct Physics-Informed Neural Networks. Outstanding Paper Award at the 2nd Workshop in Formal Verification of Machine Learning at ICML 2023.
Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr, GANet: Guided Aggregation Net for End-to-end Stereo matching, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Best Paper Finalists.
A.G. Baydin, L. Shao, W. Bhimji, L. Heinrich, L.F. Meadows, J. Liu, A. Munk, S. Naderiparizi, B. Gram-Hansen, G. Louppe, M. Ma, X. Zhao, P.H.S. Torr, V. Lee, K. Cranmer, Prabhat, F. Wood. Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale, International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), 2019. Best Paper Finalist.
R. de Bem, A. Arnab, S. Golodetz, M. Sapienza, P.H.S. Torr, Deep Fully-Connected Part-Based Models for Human Pose Estimation, Asian Conference on Machine Learning (ACML), 2018. Best paper runner-up.
S. Zheng, S. Jayasumana, B. Romera-Paredes, P.H.S. Torr, Live demo for semantic image segmentation with CRF-RNN, International Conference on Computer Vision (ICCV), 2015. Best demo award.
L. Ladicky, C. Russell, P. Kohli, P.H.S. Torr, Graph Cut based Inference with Co-occurrence Statistics, Proceedings of the Eleventh European Conference on Computer Vision (ECCV), 2010. Oral and Best Paper Award at Conference.
L. Ladicky, P. Sturgess, C. Russell, S. Sengupta, Y. Bastanlar, W. Clocksin and P.H.S. Torr. Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction, In Proceedings British Machine Vision Conference (BMVC), 2010. Oral and BMVA Best Science Paper Prize at Conference.
Pawan Kumar Mudigonda PhD Thesis: Combinatorial and Convex Optimization for Probabilistic Models in Computer Vision, awarded Sullivan Doctoral thesis prize 2009.
O. Woodford, P.H.S. Torr, I. Reid, and A.W. Fitzgibbon, Global Stereo Reconstruction under Second Order Smoothness Priors, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2008 (oral) Best Paper at Conference.
P. Kumar, V. Kolmorgorov, and P.H.S. Torr, An Analysis of Convex Relaxations for MAP Estimation, In NIPS 21, Neural Information Processing Conference, 2007. Oral and Honourable Mention at Conference.
P. Kohli, Pushmeet Kohli PhD Thesis: Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts, Sullivan Doctoral thesis prize 2007, runner up CPHC/British Computer Society Distinguished Dissertation competition.
P. Kumar, P.H.S. Torr, and A. Zisserman, An Invariant Large Margin Nearest Neighbour Classifier, Opto-Electronics Committee prize for best contributed paper at the Rank Prize Funds Mini Symposium on the still and moving image.
Y. Sun, P. Kohli, M. Bray, and P.H.S. Torr, Using Strong Shape Priors for Stereo, In ICVGIP, 2006. IAPR Best paper award. (oral)
M. Pawan. Kumar, P.H.S. Torr, and A. Zisserman. Learning Layered Pictorial Structures from Video. In Proceedings of The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), pages 158-163, 2004. IAPR Best paper award. (oral).
P.H.S. Torr, A. Fitzgibbon and A. Zisserman. Maintaining Multiple Motion Model Hypotheses through Many Views to Recover Matching and Structure. In IEEE Sixth International Conference on Computer Vision (ICCV), pages 485—492, 1998. IEEE Marr Prize.