| Color-guided depth recovery from RGB-D data using an adaptive autoregressive model J Yang, X Ye, K Li, C Hou, Y Wang IEEE transactions on image processing 23 (8), 3443-3458, 2014 | 317 | 2014 |
| Foreground–background separation from video clips via motion-assisted matrix restoration X Ye, J Yang, X Sun, K Li, C Hou, Y Wang IEEE Transactions on Circuits and Systems for Video Technology 25 (11), 1721 …, 2015 | 114 | 2015 |
| Depth recovery using an adaptive color-guided auto-regressive model J Yang, X Ye, K Li, C Hou Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 88 | 2012 |
| PMBANet: Progressive multi-branch aggregation network for scene depth super-resolution X Ye, B Sun, Z Wang, J Yang, R Xu, H Li, B Li IEEE Transactions on Image Processing 29, 7427-7442, 2020 | 63 | 2020 |
| Deep joint depth estimation and color correction from monocular underwater images based on unsupervised adaptation networks X Ye, Z Li, B Sun, Z Wang, R Xu, H Li, X Fan IEEE Transactions on Circuits and Systems for Video Technology 30 (11), 3995 …, 2019 | 63 | 2019 |
| Leveraging line-point consistence to preserve structures for wide parallax image stitching Q Jia, ZJ Li, X Fan, H Zhao, S Teng, X Ye, LJ Latecki Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 55 | 2021 |
| Depth upsampling based on deep edge-aware learning Z Wang, X Ye, B Sun, J Yang, R Xu, H Li Pattern Recognition 103, 107274, 2020 | 41 | 2020 |
| DPNet: Detail-preserving network for high quality monocular depth estimation X Ye, S Chen, R Xu Pattern Recognition 109, 107578, 2021 | 40 | 2021 |
| Learning scene structure guidance via cross-task knowledge transfer for single depth super-resolution B Sun, X Ye, B Li, H Li, Z Wang, R Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 30 | 2021 |
| DRM-SLAM: Towards dense reconstruction of monocular SLAM with scene depth fusion X Ye, X Ji, B Sun, S Chen, Z Wang, H Li Neurocomputing 396, 76-91, 2020 | 26 | 2020 |
| Underwater image enhancement using stacked generative adversarial networks X Ye, H Xu, X Ji, R Xu Pacific Rim Conference on Multimedia, 514-524, 2018 | 26 | 2018 |
| Depth super-resolution with deep edge-inference network and edge-guided depth filling X Ye, X Duan, H Li 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 22 | 2018 |
| Global auto-regressive depth recovery via iterative non-local filtering J Yang, X Ye, P Frossard IEEE Transactions on Broadcasting 65 (1), 123-137, 2018 | 21 | 2018 |
| Background extraction from video sequences via motion-assisted matrix completion J Yang, X Sun, X Ye, K Li 2014 IEEE International Conference on Image Processing (ICIP), 2437-2441, 2014 | 20 | 2014 |
| Unsupervised monocular depth estimation via recursive stereo distillation X Ye, X Fan, M Zhang, R Xu, W Zhong IEEE Transactions on Image Processing 30, 4492-4504, 2021 | 19 | 2021 |
| Computational multi-view imaging with Kinect X Ye, J Yang, H Huang, C Hou, Y Wang IEEE transactions on broadcasting 60 (3), 540-554, 2014 | 18 | 2014 |
| Joint extraction of retinal vessels and centerlines based on deep semantics and multi-scaled cross-task aggregation R Xu, T Liu, X Ye, F Liu, L Lin, L Li, S Tanaka, YW Chen IEEE Journal of Biomedical and Health Informatics 25 (7), 2722-2732, 2020 | 17 | 2020 |
| Pulmonary textures classification via a multi-scale attention network R Xu, Z Cong, X Ye, Y Hirano, S Kido, T Gyobu, Y Kawata, O Honda, ... IEEE journal of biomedical and health informatics 24 (7), 2041-2052, 2019 | 16 | 2019 |
| Reconstruction of structurally-incomplete matrices with reweighted low-rank and sparsity priors J Yang, X Yang, X Ye, C Hou IEEE Transactions on Image Processing 26 (3), 1158-1172, 2016 | 16 | 2016 |
| Retinal vessel segmentation via a semantics and multi-scale aggregation network R Xu, X Ye, G Jiang, T Liu, L Li, S Tanaka ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 15 | 2020 |
Jingyu Yang (杨敬钰)Professor of Tianjin UniversityVerified email at tju.edu.cn
