| Uncertainty quantification and deep ensembles R Rahaman, AH Thiery Advances in Neural Information Processing Systems 34, 2021 | 113 | 2021 |
| C2F-TCN: A Framework for Semi-and Fully-Supervised Temporal Action Segmentation D Singhania, R Rahaman, A Yao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 46* | 2023 |
| A generalized and robust framework for timestamp supervision in temporal action segmentation R Rahaman, D Singhania, A Thiery, A Yao European Conference on Computer Vision, 279-296, 2022 | 14 | 2022 |
| Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation D Singhania, R Rahaman, A Yao arXiv preprint arXiv:2112.01402, 2021 | 13 | 2021 |
| C2F-TCN: A Framework for Semi-and Fully-Supervised Temporal Action Segmentation D Singhania, R Rahaman, A Yao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 8 | 2023 |
| Pretrained equivariant features improve unsupervised landmark discovery R Rahaman, A Ghosh, AH Thiery 2022 26th International Conference on Pattern Recognition (ICPR), 4434-4440, 2022 | 3 | 2022 |
Dipika SinghaniaNational University of SingaporeVerified email at comp.nus.edu.sg
