Weakly supervised energy-based learning for action segmentation J Li, P Lei, S Todorovic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 103 | 2019 |
Efficient riemannian optimization on the stiefel manifold via the cayley transform J Li, L Fuxin, S Todorovic arXiv preprint arXiv:2002.01113, 2020 | 86 | 2020 |
Set-constrained viterbi for set-supervised action segmentation J Li, S Todorovic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 57 | 2020 |
Action Shuffle Alternating Learning for Unsupervised Action Segmentation J Li, S Todorovic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model J Xie, Y Zhu, J Li, P Li International Conference on Learning Representations, 2021 | 37 | 2021 |
Dense transformer networks J Li, Y Chen, L Cai, I Davidson, S Ji arXiv preprint arXiv:1705.08881, 2017 | 22 | 2017 |
Constructing orthogonal convolutions in an explicit manner T Yu, J Li, Y Cai, P Li International Conference on Learning Representations, 2021 | 18 | 2021 |
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation J Li, S Todorovic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
Dense transformer networks for brain electron microscopy image segmentation J Li, Y Chen, L Cai, I Davidson, S Ji Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 5 | 2019 |
ScatterFormer: locally-invariant scattering transformer for patient-independent multispectral detection of epileptiform discharges R Zheng, J Li, Y Wang, T Luo, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 148-158, 2023 | 2 | 2023 |
Action Segmentation with Limited Supervision J Li | | 2020 |