| Semisupervised feature selection via spline regression for video semantic recognition Y Han, Y Yang, Y Yan, Z Ma, N Sebe, X Zhou IEEE Transactions on Neural Networks and Learning Systems 26 (2), 252-264, 2014 | 220 | 2014 |
| Reasoning with heterogeneous graph alignment for video question answering P Jiang, Y Han Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11109 …, 2020 | 218 | 2020 |
| Discovering discriminative graphlets for aerial image categories recognition L Zhang, Y Han, Y Yang, M Song, S Yan, Q Tian IEEE Transactions on Image Processing 22 (12), 5071-5084, 2013 | 201 | 2013 |
| Curls & whey: Boosting black-box adversarial attacks Y Shi, S Wang, Y Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 153 | 2019 |
| Universal-prototype enhancing for few-shot object detection A Wu, Y Han, L Zhu, Y Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 140 | 2021 |
| Pooling the convolutional layers in deep convnets for video action recognition S Zhao, Y Liu, Y Han, R Hong, Q Hu, Q Tian IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1839-1849, 2017 | 127 | 2017 |
| Vector-decomposed disentanglement for domain-invariant object detection A Wu, R Liu, Y Han, L Zhu, Y Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 126 | 2021 |
| Multi-modal Circulant Fusion for Video-to-Language and Backward. A Wu, Y Han IJCAI 3 (4), 8, 2018 | 126 | 2018 |
| Instance-invariant domain adaptive object detection via progressive disentanglement A Wu, Y Han, L Zhu, Y Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4178-4193, 2021 | 119 | 2021 |
| Multi-label boosting for image annotation by structural grouping sparsity F Wu, Y Han, Q Tian, Y Zhuang Proceedings of the 18th ACM international conference on Multimedia, 15-24, 2010 | 116 | 2010 |
| Bidirectional adversarial training for semi-supervised domain adaptation. P Jiang, A Wu, Y Han, Y Shao, M Qi, B Li IJCAI, 934-940, 2020 | 114 | 2020 |
| Sequential video VLAD: Training the aggregation locally and temporally Y Xu, Y Han, R Hong, Q Tian IEEE Transactions on Image Processing 27 (10), 4933-4944, 2018 | 107 | 2018 |
| Sparse unsupervised dimensionality reduction for multiple view data Y Han, F Wu, D Tao, J Shao, Y Zhuang, J Jiang IEEE Transactions on Circuits and Systems for Video Technology 22 (10), 1485 …, 2012 | 97 | 2012 |
| Robust face clustering via tensor decomposition X Cao, X Wei, Y Han, D Lin IEEE transactions on cybernetics 45 (11), 2546-2557, 2014 | 93 | 2014 |
| Catching the temporal regions-of-interest for video captioning Z Yang, Y Han, Z Wang Proceedings of the 25th ACM international conference on Multimedia, 146-153, 2017 | 87 | 2017 |
| Understanding the effective receptive field in semantic image segmentation Y Liu, J Yu, Y Han Multimedia Tools and Applications 77, 22159-22171, 2018 | 80 | 2018 |
| Semi-supervised image-to-video adaptation for video action recognition J Zhang, Y Han, J Tang, Q Hu, J Jiang IEEE transactions on cybernetics 47 (4), 960-973, 2016 | 76 | 2016 |
| Explore multi-step reasoning in video question answering X Song, Y Shi, X Chen, Y Han Proceedings of the 26th ACM international conference on Multimedia, 239-247, 2018 | 71 | 2018 |
| Image annotation by input–output structural grouping sparsity Y Han, F Wu, Q Tian, Y Zhuang IEEE Transactions on Image Processing 21 (6), 3066-3079, 2012 | 62 | 2012 |
| Regularity preserved superpixels and supervoxels H Fu, X Cao, D Tang, Y Han, D Xu IEEE Transactions on Multimedia 16 (4), 1165-1175, 2014 | 60 | 2014 |
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