Entropic Paper Award at Workshop I Can’t Believe It’s Not Better (ICBINB): Failure Modes in the Age of Foundation Models, NeurIPS 2023
Aleksandar Petrov, Philip H.S. Torr, Adel Bibi, When Do Prompting and Prefix-Tuing Work? A Theory of Capabilities and Imitations.

Youth Outstanding Paper, World Artificial Intelligence Conference (WAIC)
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.

Outstanding Paper Award at Workshop in Formal Verification of Machine Learning at ICML 2023
F. Eiras, A. Bibi, R. Bunel, K. Dj Dvijotham, P. H. S. Torr, M. Pawan Kumar, Provably Correct Physics-Informed Neural Networks

Best Paper Finalist, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr, GANet: Guided Aggregation Net for End-to-end Stereo matching.

Best Paper Finalist, International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), 2019
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.

Best Paper runner-up., Asian Conference on Machine Learning (ACML), 2018
R. de Bem, A. Arnab, S. Golodetz, M. Sapienza, P.H.S. Torr, Deep Fully-Connected Part-Based Models for Human Pose Estimation.

Best Demo Award at Conference, International Conference on Computer Vision (ICCV), 2015
S. Zheng, S. Jayasumana, B. Romera-Paredes, P.H.S. Torr, Live demo for semantic image segmentation with CRF-RNN.

Best Paper Award at Conference, Proceedings of the Eleventh European Conference on Computer Vision (ECCV), 2010
L. Ladicky, C. Russell, P. Kohli, P.H.S. Torr, Graph Cut based Inference with Co-occurrence Statistics.

BMVA Best Science Paper Prize at Conference, In Proceedings British Machine Vision Conference (BMVC), 2010
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.

Sullivan Doctoral thesis prize 2009
Pawan Kumar Mudigonda PhD Thesis: Combinatorial and Convex Optimization for Probabilistic Models in Computer Vision.

Best Paper Award at Conference, In Proceedings IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 2008
O. Woodford, P.H.S. Torr, I. Reid, and A.W. Fitzgibbon, Global Stereo Reconstruction under Second Order Smoothness Priors

Honourable Mention at Conference, NIPS 21, Neural Information Processing Conference, 2007
P. Kumar, V. Kolmorgorov, and P.H.S. Torr, An Analysis of Convex Relaxations for MAP Estimation.

Sullivan Doctoral thesis prize, runner up CPHC/British Computer Society Distinguished Dissertation competition. 2007
Pushmeet Kohli PhD Thesis: Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts

Opto-Electronics Committee prize for best contributed paper at the Rank Prize Funds Mini Symposium on the still and moving image.
P. Kumar, P.H.S. Torr, and A. Zisserman, An Invariant Large Margin Nearest Neighbour Classifier

IAPR Best paper award, In ICVGIP, 2006
Y. Sun, P. Kohli, M. Bray, and P.H.S. Torr, Using Strong Shape Priors for Stereo.

IAPR Best paper award, In Proceedings of The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2004.
M. Pawan. Kumar, P.H.S. Torr, and A. Zisserman. Learning Layered Pictorial Structures from Video.

IEEE Marr Prize. Best Paper Award at Conference, In IEEE Sixth International Conference on Computer Vision (ICCV), 1998
P.H.S. Torr, A. Fitzgibbon and A. Zisserman. Maintaining Multiple Motion Model Hypotheses through Many Views to Recover Matching and Structure.