| Learning-based approach for online lane change intention prediction P Kumar, M Perrollaz, S Lefevre, C Laugier 2013 IEEE Intelligent Vehicles Symposium (IV), 797-802, 2013 | 206 | 2013 |
| Multi-Agent Diverse Generative Adversarial Networks A Ghosh, V Kulharia, V Namboodiri, PHS Torr, PK Dokania In CVPR 2018, 2017 | 136 | 2017 |
| Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence A Chaudhry, PK Dokania, T Ajanthan, PHS Torr European Conference on Computer Vision (ECCV), 2018 | 111 | 2018 |
| A novel bacterial foraging technique for edge detection OP Verma, M Hanmandlu, P Kumar, S Chhabra, A Jindal Pattern recognition letters 32 (8), 1187-1196, 2011 | 89 | 2011 |
| High dynamic range optimal fuzzy color image enhancement using artificial ant colony system OP Verma, P Kumar, M Hanmandlu, S Chhabra Applied Soft Computing 12 (1), 394-404, 2012 | 83 | 2012 |
| Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation A Chaudhry, PK Dokania, PHS Torr British Machine Vision Conference (BMVC 2017), 2017 | 53 | 2017 |
| Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs A Osokin, JB Alayrac, I Lukasewitz, PK Dokania, S Lacoste-Julien ICML, Proceedings of the International Conference on Machine Learning, 2016 | 52 | 2016 |
| Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation Q Hou, D Massiceti, PK Dokania, Y Wei, MM Cheng, P Torr Energy Minimization Methods in Computer Vision and Pattern Recognition …, 2016 | 35* | 2016 |
| A novel approach for edge detection using antcolony otimization and fuzz derivative technique OP Verma, M Hanmandll, P Kumar, S Srivastava 2009 IEEE International Advance Computing Conference, 1206-1212, 2009 | 28 | 2009 |
| Continual learning with tiny episodic memories A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, PK Dokania, ... In ICML 2019 Workshop on Multi-Task and Lifelong Reinforcement Learning, 2019 | 24* | 2019 |
| FlipDial: A Generative Model for Two-Way Visual Dialogue D Massiceti, N Siddharth, PK Dokania, PHS Torr In CVPR 2018, 2018 | 23 | 2018 |
| Discriminative parameter estimation for random walks segmentation PY Baudin, D Goodman, P Kumar, N Azzabou, PG Carlier, N Paragios, ... International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 16 | 2013 |
| Parsimonious labeling PK Dokania, M Pawan Kumar Proceedings of the IEEE International Conference on Computer Vision, 1760-1768, 2015 | 12 | 2015 |
| Visual Dialogue without Vision or Dialogue D Massiceti, PK Dokania, N Siddharth, PHS Torr In NIPS 2018, Critiquing and Correcting Trends in Machine Learning Workshop, 2018 | 11 | 2018 |
| Interactive sketch & fill: Multiclass sketch-to-image translation A Ghosh, R Zhang, PK Dokania, O Wang, AA Efros, PHS Torr, ... Proceedings of the IEEE international conference on computer vision, 1171-1180, 2019 | 10 | 2019 |
| Learning to rank using high-order information PK Dokania, A Behl, CV Jawahar, MP Kumar European Conference on Computer Vision, 609-623, 2014 | 8 | 2014 |
| Deformable registration through learning of context-specific metric aggregation E Ferrante, PK Dokania, R Marini, N Paragios International Workshop on Machine Learning in Medical Imaging, 256-265, 2017 | 7 | 2017 |
| Proximal mean-field for neural network quantization T Ajanthan, PK Dokania, R Hartley, PHS Torr Proceedings of the IEEE International Conference on Computer Vision, 4871-4880, 2019 | 6 | 2019 |
| Weakly supervised learning of metric aggregations for deformable image registration E Ferrante, PK Dokania, RM Silva, N Paragios IEEE journal of biomedical and health informatics 23 (4), 1374-1384, 2018 | 4 | 2018 |
| Calibrating Deep Neural Networks using Focal Loss J Mukhoti, V Kulharia, A Sanyal, S Golodetz, PHS Torr, PK Dokania arXiv preprint arXiv:2002.09437, 2020 | 3* | 2020 |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
