| Calibrating deep neural networks using focal loss J Mukhoti, V Kulharia, A Sanyal, S Golodetz, P Torr, P Dokania Advances in Neural Information Processing Systems 33, 15288-15299, 2020 | 450 | 2020 |
| Evaluating bayesian deep learning methods for semantic segmentation J Mukhoti, Y Gal arXiv preprint arXiv:1811.12709, 2018 | 240 | 2018 |
| Deep deterministic uncertainty: A new simple baseline J Mukhoti, A Kirsch, J van Amersfoort, PHS Torr, Y Gal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 208* | 2023 |
| Open vocabulary semantic segmentation with patch aligned contrastive learning J Mukhoti, TY Lin, O Poursaeed, R Wang, A Shah, PHS Torr, SN Lim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 68 | 2023 |
| Let's take this online: Adapting scene coordinate regression network predictions for online RGB-D camera relocalisation T Cavallari, L Bertinetto, J Mukhoti, P Torr, S Golodetz 2019 International Conference on 3D Vision (3DV), 564-573, 2019 | 43 | 2019 |
| On the importance of strong baselines in Bayesian deep learning J Mukhoti, P Stenetorp, Y Gal arXiv preprint arXiv:1811.09385, 2018 | 40 | 2018 |
| Learning regularity in an economic time-series for structure prediction D Bhattacharya, J Mukhoti, A Konar Applied Soft Computing 76, 31-44, 2019 | 28 | 2019 |
| Deep deterministic uncertainty for semantic segmentation J Mukhoti, J van Amersfoort, PHS Torr, Y Gal arXiv preprint arXiv:2111.00079, 2021 | 26 | 2021 |
| Handwritten digit classification in Bangla and Hindi using deep learning J Mukhoti, S Dutta, R Sarkar Applied Artificial Intelligence 34 (14), 1074-1099, 2020 | 16 | 2020 |
| Fine-tuning can cripple your foundation model; preserving features may be the solution J Mukhoti, Y Gal, P Torr, D Puneet K. Transactions on Machine Learning Research (TMLR), 2024 | 12 | 2024 |
| Raising the bar on the evaluation of out-of-distribution detection J Mukhoti, TY Lin, BC Chen, A Shah, PHS Torr, PK Dokania, SN Lim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| On batch normalisation for approximate bayesian inference J Mukhoti, PK Dokania, PHS Torr, Y Gal arXiv preprint arXiv:2012.13220, 2020 | 5 | 2020 |
| On pitfalls in ood detection: Entropy considered harmful, 2021 A Kirsch, J Mukhoti, J van Amersfoort, PHS Torr, Y Gal Uncertainty & Robustness in Deep Learning Workshop, ICML, 0 | 4 | |
| Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs J Mukhoti, P Rakshit, D Bhattacharya, A Konar, AK Nagar 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1201-1208, 2016 | 2 | 2016 |
| OUT-OF-DISTRIBUTION DETECTION J Mukhoti, TY Lin, BC Chen, A Shah, PHS Torr, PK Dokania, SN Lim | | |
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
