FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding D Shao, Y Zhao, B Dai, D Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 112 | 2020 |
Find and focus: Retrieve and localize video events with natural language queries D Shao, Y Xiong, Y Zhao, Q Huang, Y Qiao, D Lin Proceedings of the European Conference on Computer Vision (ECCV), 200-216, 2018 | 57 | 2018 |
Revisiting skeleton-based action recognition H Duan, Y Zhao, K Chen, D Lin, B Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
Intra-and inter-action understanding via temporal action parsing D Shao, Y Zhao, B Dai, D Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 31 | 2020 |
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection HS Fang, Y Xie, D Shao, C Lu AAAI Conference on Artificial Intelligence (AAAI-21), 2020 | 19 | 2020 |
Digital longmen project: A free walking VR system with image-based restoration Z Wang, X Jin, D Shao, R Li, H Zha, K Ikeuchi Asian Conference on Computer Vision, 191-206, 2016 | 6 | 2016 |
DecAug: Augmenting HOI Detection via Decomposition HS Fang, Y Xie, D Shao, YL Li, C Lu AAAI Conference on Artificial Intelligence (AAAI-21), 2020 | 3 | 2020 |
A unified framework for manipulating objects via reinforcement learning D Shao, X Pan | 1 | |
Fine-Grained Event and Action Understanding in Videos D Shao PQDT-Global, 2021 | | 2021 |