| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, et al. Computer Vision and Pattern Recognition (CVPR), NTIRE Workshop, 2017 | 1495 | 2017 |
| Horizontal pyramid matching for person re-identification Y Fu, Y Wei, Y Zhou, H Shi, H Gao, X Wang, Z Yao, T Huang AAAI Conference on Artificial Intelligence (AAAI), 2019 | 451 | 2019 |
| Wide activation for efficient and accurate image super-resolution J Yu, Y Fan, J Yang, N Xu, Z Wang, X Wang, T Huang arXiv preprint arXiv:1808.08718, 2018 | 448 | 2018 |
| Metaformer is actually what you need for vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan Computer Vision and Pattern Recognition (CVPR), 2022 | 441 | 2022 |
| On Compressing Deep Models by Low Rank and Sparse Decomposition X Yu, T Liu, X Wang, D Tao Computer Vision and Pattern Recognition (CVPR), 2017 | 417 | 2017 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool, et al. Computer Vision and Pattern Recognition (CVPR), NTIRE Workshop, 2018 | 317 | 2018 |
| Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, X Wang, TS Huang IEEE Transactions on Image Processing (TIP), 2018 | 297* | 2018 |
| Predicting people’s 3d poses from short sequences B Tekin, X Sun, X Wang, V Lepetit, P Fua arXiv preprint arXiv: 1504.08200, 2015 | 273* | 2015 |
| Distilling Knowledge From Graph Convolutional Networks Y Yang, J Qiu, M Song, D Tao, X Wang Computer Vision and Pattern Recognition (CVPR), 2020 | 199 | 2020 |
| Inception Transformer C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan Neural Information Processing Systems (NeurIPS), 2022 | 185 | 2022 |
| One-pass multi-task networks with cross-task guided attention for brain tumor segmentation C Zhou, C Ding, X Wang, Z Lu, D Tao IEEE Transactions on Image Processing (TIP), 2020 | 172 | 2020 |
| Dynamic Instance Normalization for Arbitrary Style Transfer Y Jing, X Liu, Y Ding, X Wang, E Ding, M Song, S Wen AAAI Conference on Artificial Intelligence (AAAI), 2020 | 148 | 2020 |
| Tracking interacting objects using intertwined flows X Wang, E Türetken, F Fleuret, P Fua IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 | 136 | 2016 |
| Factorizable Graph Convolutional Networks Y Yang, Z Feng, M Song, X Wang Neural Information Processing Systems (NeurIPS), 2020 | 130 | 2020 |
| Tracking interacting objects optimally using integer programming X Wang, E Türetken, F Fleuret, P Fua European Conference on Computer Vision (ECCV), 2014 | 129 | 2014 |
| FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification X Yin, X Wang, J Yu, M Zhang, P Fua, D Tao European Conference on Computer Vision (ECCV), 2018 | 127 | 2018 |
| Non-Markovian Globally Consistent Multi-Object Tracking A Maksai, X Wang, F Fleuret, P Fua International Conference on Computer Vision (ICCV), 2017 | 122* | 2017 |
| Data-free adversarial distillation G Fang, J Song, C Shen, X Wang, D Chen, M Song arXiv preprint arXiv:1912.11006, 2019 | 117 | 2019 |
| Subspaces indexing model on Grassmann manifold for image search X Wang, Z Li, D Tao IEEE Transactions on Image Processing (TIP), 2011 | 116 | 2011 |
| Balanced two-stage residual networks for image super-resolution Y Fan, H Shi, J Yu, D Liu, W Han, H Yu, Z Wang, X Wang, TS Huang Computer Vision and Pattern Recognition (CVPR), NTIRE Workshop, 2017 | 114 | 2017 |
Jingwen YeNational University of SingaporeVerified email at nus.edu.sg
