| Efficient two-step networks for temporal action segmentation Y Li, Z Dong, K Liu, L Feng, L Hu, J Zhu, L Xu, S Liu Neurocomputing 454, 373-381, 2021 | 30 | 2021 |
| Temporal segmentation of fine-gained semantic action: a motion-centered figure skating dataset S Liu, A Zhang, Y Li, J Zhou, L Xu, Z Dong, R Zhang Proceedings of the AAAI conference on artificial intelligence 35 (3), 2163-2171, 2021 | 14 | 2021 |
| Spatial focus attention for fine-grained skeleton-based action tasks K Liu, Y Li, Y Xu, S Liu, S Liu IEEE Signal Processing Letters 29, 1883-1887, 2022 | 7 | 2022 |
| Double attention network based on sparse sampling Z Dong, Y Li, Y Sun, C Hao, K Liu, T Sun, S Liu 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 4 | 2022 |
| Involving distinguished temporal graph convolutional networks for skeleton-based temporal action segmentation YH Li, KY Liu, SL Liu, L Feng, H Qiao IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
| Spatial-temporal attention network with multi-similarity loss for fine-grained skeleton-based action recognition X Li, S Liu, Y Li, H Liu, J Zhao, L Feng, G Lao, G Li International Conference on Neural Information Processing, 620-631, 2021 | 2 | 2021 |
| A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation Y Li, Z Li, S Gao, Q Wang, Q Hou, MM Cheng arXiv preprint arXiv:2312.05830, 2023 | 1 | 2023 |
| Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation K Liu, Y Li, S Liu, C Tan, Z Shao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes X Zhang, BW Yin, Y Chen, Z Lin, Y Li, Q Hou, MM Cheng arXiv preprint arXiv:2312.04248, 2023 | | 2023 |
| End-to-End Streaming Video Temporal Action Segmentation with Reinforce Learning W Wen, J Zhang, S Liu, Y Li, Q Li, L Feng arXiv preprint arXiv:2309.15683, 2023 | | 2023 |
