| Rethinking CNN models for audio classification K Palanisamy, D Singhania, A Yao arXiv preprint arXiv:2007.11154, 2020 | 206 | 2020 |
| Temporal aggregate representations for long-range video understanding F Sener, D Singhania, A Yao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 143 | 2020 |
| Assembly101: A large-scale multi-view video dataset for understanding procedural activities F Sener, D Chatterjee, D Shelepov, K He, D Singhania, R Wang, A Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 131 | 2022 |
| Coarse to fine multi-resolution temporal convolutional network D Singhania, R Rahaman, A Yao arXiv preprint arXiv:2105.10859, 2021 | 53 | 2021 |
| 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 | 20 | 2022 |
| Iterative contrast-classify for semi-supervised temporal action segmentation D Singhania, R Rahaman, A Yao Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2262-2270, 2022 | 16 | 2022 |
| 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 45 (10 …, 2023 | 13 | 2023 |
Angela YaoNational University of SingaporeVerified email at comp.nus.edu.sg
