Graph convolutional tracking J Gao, T Zhang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 343 | 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 | 248 | 2019 |
Fast video moment retrieval J Gao, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 116 | 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 | 107 | 2020 |
Learning Video Moment Retrieval Without a Single Annotated Video J Gao, C Xu IEEE Transactions on Circuits and Systems for Video Technology, 2021 | 99 | 2021 |
Deep relative tracking J Gao, T Zhang, X Yang, C Xu IEEE Transactions on Image Processing 26 (4), 1845-1858, 2017 | 98 | 2017 |
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 | 97 | 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 | 89 | 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 | 73 | 2022 |
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 | 66 | 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 | 55 | 2018 |
Vectorized evidential learning for weakly-supervised temporal action localization J Gao, M Chen, C Xu IEEE transactions on pattern analysis and machine intelligence, 2023 | 51 | 2023 |
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 | 50 | 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 | 45 | 2020 |
Active universal domain adaptation X Ma, J Gao, C Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 40 | 2021 |
Learning Dual-Pooling Graph Neural Networks for Few-shot Video Classification Y Hu, J Gao, C Xu IEEE Transactions on Multimedia, 2020 | 40 | 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 | 35 | 2018 |
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 | 30 | 2023 |