Learning to adapt for stereo A Tonioni, O Rahnama, T Joy, LD Stefano, T Ajanthan, PHS Torr Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 88 | 2019 |
Capturing label characteristics in vaes T Joy, SM Schmon, PHS Torr, N Siddharth, T Rainforth arXiv preprint arXiv:2006.10102, 2020 | 47 | 2020 |
Learning multimodal VAEs through mutual supervision T Joy, Y Shi, PHS Torr, T Rainforth, SM Schmon, N Siddharth arXiv preprint arXiv:2106.12570, 2021 | 28 | 2021 |
Sample-dependent adaptive temperature scaling for improved calibration T Joy, F Pinto, SN Lim, PHS Torr, PK Dokania Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14919 …, 2023 | 27 | 2023 |
Real-time highly accurate dense depth on a power budget using an FPGA-CPU hybrid SoC O Rahnama, T Cavallari, S Golodetz, A Tonioni, T Joy, L Di Stefano, ... IEEE Transactions on Circuits and Systems II: Express Briefs 66 (5), 773-777, 2019 | 20 | 2019 |
Rethinking semi-supervised learning in VAEs T Joy, SM Schmon, PHS Torr, N Siddharth, T Rainforth arXiv preprint arXiv:2006.10102, 2020 | 12 | 2020 |
Efficient relaxations for dense crfs with sparse higher-order potentials T Joy, A Desmaison, T Ajanthan, R Bunel, M Salzmann, P Kohli, PHS Torr, ... SIAM journal on imaging sciences 12 (1), 287-318, 2019 | 12 | 2019 |
Impact of COVID‐19 on the management and outcomes of ureteric stones in the UK: a multicentre retrospective study MHV Byrne, F Georgiades, A Light, CE Lovegrove, C Dominic, J Rahman, ... BJU international 131 (1), 82-89, 2023 | 11 | 2023 |
Towards building self-aware object detectors via reliable uncertainty quantification and calibration K Oksuz, T Joy, PK Dokania Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
What Makes and Breaks Safety Fine-tuning? Mechanistic Study S Jain, ES Lubana, K Oksuz, T Joy, PHS Torr, A Sanyal, PK Dokania arXiv preprint arXiv:2407.10264, 2024 | 1 | 2024 |
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection K Oksuz, S Kuzucu, T Joy, PK Dokania arXiv preprint arXiv:2309.14976, 2023 | 1 | 2023 |
Variational autoencoders for supervision, calibration and multimodal learning TW Joy University of Oxford, 2022 | | 2022 |
Supplementary material for Learning to Adapt for Stereo A Tonioni, O Rahnama, T Joy, L Di Stefano, T Ajanthan, PHS Torr | | |