| Graph convolutional tracking J Gao, T Zhang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 356 | 2019 |
| I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs J Gao, T Zhang, C Xu Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence 33, 2019 | 262 | 2019 |
| Fast video moment retrieval J Gao, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 133 | 2021 |
| Learning to model relationships for zero-shot video classification J Gao, T Zhang, C Xu IEEE transactions on pattern analysis and machine intelligence 43 (10), 3476 …, 2020 | 118 | 2020 |
| Fine-grained temporal contrastive learning for weakly-supervised temporal action localization J Gao, M Chen, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 108 | 2022 |
| Modeling of plug-in electric vehicle travel patterns and charging load based on trip chain generation D Wang, J Gao, P Li, B Wang, C Zhang, S Saxena Journal of Power Sources 359, 468-479, 2017 | 103 | 2017 |
| Learning Video Moment Retrieval Without a Single Annotated Video J Gao, C Xu IEEE Transactions on Circuits and Systems for Video Technology, 2021 | 101 | 2021 |
| Deep relative tracking J Gao, T Zhang, X Yang, C Xu IEEE Transactions on Image Processing 26 (4), 1845-1858, 2017 | 100 | 2017 |
| Dual-evidential learning for weakly-supervised temporal action localization M Chen, J Gao, S Yang, C Xu European conference on computer vision, 192-208, 2022 | 83 | 2022 |
| Vectorized evidential learning for weakly-supervised temporal action localization J Gao, M Chen, C Xu IEEE transactions on pattern analysis and machine intelligence 45 (12 …, 2023 | 72 | 2023 |
| A unified personalized video recommendation via dynamic recurrent neural networks J Gao, T Zhang, C Xu Proceedings of the 25th ACM international conference on Multimedia, 127-135, 2017 | 67 | 2017 |
| P2t: Part-to-target tracking via deep regression learning J Gao, T Zhang, X Yang, C Xu IEEE Transactions on Image Processing 27 (6), 3074-3086, 2018 | 57 | 2018 |
| CI-GNN: Building a category-instance graph for zero-shot video classification J Gao, C Xu IEEE Transactions on Multimedia 22 (12), 3088-3100, 2020 | 52 | 2020 |
| Learning coarse-to-fine graph neural networks for video-text retrieval W Wang, J Gao, X Yang, C Xu IEEE Transactions on Multimedia 23, 2386-2397, 2020 | 46 | 2020 |
| Collecting cross-modal presence-absence evidence for weakly-supervised audio-visual event perception J Gao, M Chen, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 44 | 2023 |
| Active universal domain adaptation X Ma, J Gao, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 44 | 2021 |
| Learning Dual-Pooling Graph Neural Networks for Few-shot Video Classification Y Hu, J Gao, C Xu IEEE Transactions on Multimedia, 2020 | 41 | 2020 |
| Unsupervised video summarization via relation-aware assignment learning J Gao, X Yang, Y Zhang, C Xu IEEE Transactions on Multimedia 23, 3203-3214, 2020 | 38 | 2020 |
| Analysis of multi-location PEV charging behaviors based on trip chain generation D Wang, X Guan, J Wu, J Gao 2014 IEEE International Conference on Automation Science and Engineering …, 2014 | 38 | 2014 |
| Watch, think and attend: End-to-end video classification via dynamic knowledge evolution modeling J Gao, T Zhang, C Xu Proceedings of the 26th ACM international conference on Multimedia, 690-699, 2018 | 34 | 2018 |
Changsheng XuProfessor, Institute of Automation, Chinese Academy of Sciencesnlpr.ia.ac.cn üzerinde doğrulanmış e-posta adresine sahip