| Residual dense network for image super-resolution Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1161 | 2018 |
| Image super-resolution using very deep residual channel attention networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu Proceedings of the European conference on computer vision (ECCV), 286-301, 2018 | 1034 | 2018 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 649 | 2017 |
| Residual Non-local Attention Networks for Image Restoration Y Zhang, K Li, K Li, B Zhong, Y Fu International Conference on Learning Representations (ICLR), 2019 | 145 | 2019 |
| Residual dense network for image restoration Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 127 | 2020 |
| Tdan: Temporally-deformable alignment network for video super-resolution Y Tian, Y Zhang, Y Fu, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| Visual semantic reasoning for image-text matching K Li, Y Zhang, K Li, Y Li, Y Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 65 | 2019 |
| CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution Y Zhang, Y Zhang, J Zhang, Q Dai IEEE Transactions on Multimedia 18 (3), 405-417, 2016 | 56 | 2016 |
| Hierarchical Tracking by Reinforcement Learning based Searching and Coarse-to-fine Verifying B Zhong, B Bai, J Li, Y Zhang, Y Fu IEEE Transactions on Image Processing, 2019 | 44 | 2019 |
| Deep Alignment Network Based Multi-person Tracking with Occlusion and Motion Reasoning Q Zhou, B Zhong, Y Zhang, J Li, Y Fu IEEE Transactions on Multimedia, 2019 | 41 | 2019 |
| Channel splitting network for single MR image super-resolution X Zhao, Y Zhang, T Zhang, X Zou IEEE Transactions on Image Processing 28 (11), 5649-5662, 2019 | 34 | 2019 |
| Support neighbor loss for person re-identification K Li, Z Ding, K Li, Y Zhang, Y Fu Proceedings of the 26th ACM international conference on Multimedia, 1492-1500, 2018 | 26 | 2018 |
| Collaborative representation cascade for single-image super-resolution Y Zhang, Y Zhang, J Zhang, D Xu, Y Fu, Y Wang, X Ji, Q Dai IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (5), 845-860, 2017 | 21 | 2017 |
| Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution X Xiang, Y Tian, Y Zhang, Y Fu, JP Allebach, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 20 | 2020 |
| Exponential Decay Sine Wave Learning Rate for Fast Deep Neural Network Training W An, H Wang, Y Zhang, Q Dai Visual Communications and Image Processing (VCIP), 2017 | 16 | 2017 |
| Pyramid attention networks for image restoration Y Mei, Y Fan, Y Zhang, J Yu, Y Zhou, D Liu, Y Fu, TS Huang, H Shi arXiv preprint arXiv:2004.13824, 2020 | 15 | 2020 |
| Fine-grained spatial alignment model for person re-identification with focal triplet loss Q Zhou, B Zhong, X Lan, G Sun, Y Zhang, B Zhang, R Ji IEEE Transactions on Image Processing 29, 7578-7589, 2020 | 14 | 2020 |
| Adversarial feature hallucination networks for few-shot learning K Li, Y Zhang, K Li, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
| Attention bridging network for knowledge transfer K Li, Y Zhang, K Li, Y Li, Y Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11 | 2019 |
| Multimodal Style Transfer via Graph Cuts Y Zhang, C Fang, Y Wang, Z Wang, Z Lin, Y Fu, J Yang International Conference on Computer Vision, 2019 | 11 | 2019 |
Yun Raymond FuNEU, Professor; FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
