Xinchen Ye
Cited by
Cited by
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
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
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
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
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
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
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
DPNet: Detail-preserving network for high quality monocular depth estimation
X Ye, S Chen, R Xu
Pattern Recognition 109, 107578, 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
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
Underwater image enhancement using stacked generative adversarial networks
X Ye, H Xu, X Ji, R Xu
Pacific Rim Conference on Multimedia, 514-524, 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
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
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
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
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
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
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
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
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
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