| LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking H Fan, LT Lin, F Yang, P Chu, G Deng, SJ Yu, HX Bai, Y Xu, CY Liao, ... CVPR 2019, 2019 | 1651 | 2019 |
| Removing Rain from a Single Image via Discriminative Sparse Coding Y Luo, Y Xu, H Ji ICCV2015, 3397-3405, 2015 | 924 | 2015 |
| Viewpoint invariant texture description using fractal analysis Y Xu, H Ji, C Fermüller International journal of computer vision (IJCV 2009), 83 (1), 85-100, 2009 | 401 | 2009 |
| Swintrack: A simple and strong baseline for transformer tracking L Lin, H Fan, Z Zhang, Y Xu, H Ling Advances in Neural Information Processing Systems 35, 16743-16754, 2022 | 384 | 2022 |
| Hypergraph contrastive collaborative filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, J Huang Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 372 | 2022 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 264 | 2020 |
| Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning JW Wang, WH Jiang, L Ma, W Liu, Y Xu CVPR 2018, 2018 | 263 | 2018 |
| Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng Proceedings of the AAAI conference on artificial intelligence 35 (17), 15008 …, 2021 | 217 | 2021 |
| Lasot: A high-quality large-scale single object tracking benchmark H Fan, H Bai, L Lin, F Yang, P Chu, G Deng, S Yu, Harshit, M Huang, J Liu, ... International Journal of Computer Vision 129, 439-461, 2021 | 212 | 2021 |
| Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4486-4493, 2021 | 211 | 2021 |
| Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 210 | 2021 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye Proceedings of the AAAI conference on artificial intelligence 35 (5), 4115-4122, 2021 | 206 | 2021 |
| A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid Y Xu, X Yang, H Ling, H Ji Computer Vision and Pattern Recognition (CVPR 2010), 161-168, 2010 | 193 | 2010 |
| Contrastive meta learning with behavior multiplicity for recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 172 | 2022 |
| Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 167 | 2023 |
| Wavelet Domain Multi-fractal Analysis for Static and Dynamic Texture Classification H Ji, X Yang, H Ling, Y Xu IEEE Transactions on Image Processing 22 (1), 286-299, 2013 | 158 | 2013 |
| Image denoising using complex-valued deep CNN Y Quan, Y Chen, Y Shao, H Teng, Y Xu, H Ji Pattern Recognition 111, 107639, 2021 | 156 | 2021 |
| Privacy-Protective-GAN for Privacy Preserving Face De-Identification. Journal of Computer Science and Technology YF Wu, F Yang, Y Xu, HB Ling Journal of Computer Science and Technology 34 (1), 47-60, 2019 | 153 | 2019 |
| Dynamic Texture Classification Using Dynamic Fractal Analysis Y Xu, Y Quan, H Ling, H Ji International Conference on Computer Vision (ICCV 2011), 1219-1226, 2011 | 135 | 2011 |
| Scale-space texture description on SIFT-like textons Y Xu, S Huang, H Ji, C Fermüller Computer Vision and Image Understanding 116, 999-1013, 2012 | 130 | 2012 |
Hui JIApplied Mathematics, National University of SingaporeAdresă de e-mail confirmată pe nus.edu.sg