| Progressive relation learning for group activity recognition G Hu, B Cui, Y He, S Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 90 | 2020 |
| Skeleton-based action recognition with synchronous local and non-local spatio-temporal learning and frequency attention G Hu, B Cui, S Yu 2019 IEEE International conference on multimedia and expo (ICME), 1216-1221, 2019 | 48 | 2019 |
| Joint Learning in the Spatio-temporal and Frequency Domains for Skeleton-based Action Recognition G Hu, B Cui, S Yu IEEE Transactions on Multimedia 22 (9), 2207-2220, 2020 | 38 | 2020 |
| Multi-scale Expressions of One Optimal State Regulated by Dopamine in the Prefrontal Cortex G Hu, X Huang, T Jiang, S Yu Frontiers in Physiology 10, 2019 | 10 | 2019 |
| MonkeyTrail: a scalable video-based method for tracking macaque movement trajectory in daily living cages MS Liu, JQ Gao, GY Hu, GF Hao, TZ Jiang, C Zhang, S Yu Zoological Research 43 (3), 343, 2022 | 9 | 2022 |
| Deepcollaboration: Collaborative generative and discriminative models for class incremental learning B Cui, G Hu, S Yu Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1175-1183, 2021 | 9 | 2021 |
| Scalenet: A convolutional network to extract multi-scale and fine-grained visual features J Zhang, J Zhang, G Hu, Y Chen, S Yu IEEE Access 7, 147560-147570, 2019 | 7 | 2019 |
| RT-Net: replay-and-transfer network for class incremental object detection B Cui, G Hu, S Yu Applied Intelligence 53 (8), 8864-8878, 2023 | 4 | 2023 |
| Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos G Hu, B He, H Zhang Machine Intelligence Research 20 (2), 249-262, 2023 | 2 | 2023 |
| Contrastive learning via local activity H Zhu, Y Chen, G Hu, S Yu Electronics 12 (1), 147, 2022 | 2 | 2022 |
| Information-density Masking Strategy for Masked Image Modeling H Zhu, Y Chen, G Hu, S Yu 2023 IEEE International Conference on Multimedia and Expo (ICME), 1619-1624, 2023 | 1 | 2023 |
| Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification Y He, G Hu, S Yu IEEE Signal Processing Letters, 2024 | | 2024 |
| Network's Critical State and its Relation to the Inverted-U profile of Dopamine Related Working Memory Performance G Hu, X Huang, T Jiang, S Yu Neuroscience 2016, 2016 | | 2016 |
Shan YuInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
