| Efficient spatio-temporal contrastive learning for skeleton-based 3-d action recognition X Gao, Y Yang, Y Zhang, M Li, JG Yu, S Du IEEE Transactions on Multimedia 25, 405-417, 2021 | 22 | 2021 |
| Contrastive self-supervised learning for skeleton action recognition X Gao, Y Yang, S Du Proceedings of Machine Learning Research, 51-61, 2021 | 18 | 2021 |
| Motion guided attention learning for self-supervised 3D human action recognition Y Yang, G Liu, X Gao IEEE Transactions on Circuits and Systems for Video Technology 32 (12), 8623 …, 2022 | 16 | 2022 |
| Decompose more and aggregate better: Two closer looks at frequency representation learning for human motion prediction X Gao, S Du, Y Wu, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 5 | 2023 |
| Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model Z Xie, Y Wu, X Gao, Z Sun, W Yang, X Liang Proceedings of the AAAI conference on artificial intelligence, 2024 | 3 | 2024 |
| Learning Heterogeneous Spatial–Temporal Context for Skeleton-Based Action Recognition X Gao, Y Yang, Y Wu, S Du IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
| GUESS: GradUally Enriching SyntheSis for Text-Driven Human Motion Generation X Gao, Y Yang, Z Xie, S Du, Z Sun, Y Wu IEEE Transactions on Visualization and Computer Graphics, 2024 | 2 | 2024 |
| Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition X Gao, S Du, Y Yang Neural Networks 167, 551-558, 2023 | 1 | 2023 |
Shaoyi DuInstitute of Artificial Intelligence and Robotics, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
