Xinchen Ye
TitleCited byYear
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
2042014
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
732015
Depth recovery using an adaptive color-guided auto-regressive model
J Yang, X Ye, K Li, C Hou
European conference on computer vision, 158-171, 2012
682012
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
162014
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
132014
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
72016
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
52018
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
32018
Intrinsic decomposition from a single RGB-D image with sparse and non-local priors
Y Wang, K Li, J Yang, X Ye
2017 IEEE International Conference on Multimedia and Expo (ICME), 1201-1206, 2017
32017
Depth refinement for binocular kinect RGB-D cameras
J Bai, J Yang, X Ye, C Hou
2016 Visual Communications and Image Processing (VCIP), 1-4, 2016
32016
Unsupervised Monocular Depth Estimation Based on Dual Attention Mechanism and Depth-Aware Loss
X Ye, M Zhang, R Xu, W Zhong, X Fan, Z Liu, J Zhang
2019 IEEE International Conference on Multimedia and Expo (ICME), 169-174, 2019
22019
Retinal vessel segmentation via multiscaled deep-guidance
R Xu, G Jiang, X Ye, YW Chen
Pacific Rim Conference on Multimedia, 158-168, 2018
22018
Completion of structurally-incomplete matrices with reweighted low-rank and sparsity priors
J Yang, X Yang, X Ye
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
22016
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, 2019
12019
Underwater Image Enhancement Using Stacked Generative Adversarial Networks
X Ye, H Xu, X Ji, R Xu
Pacific Rim Conference on Multimedia, 514-524, 2018
12018
High Quality Depth Estimation from Monocular Images Based on Depth Prediction and Enhancement Sub-Networks
X Duan, X Ye, Y Li, H Li
2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018
12018
Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues
R Xu, Z Cong, X Ye, Y Hirano, S Kido
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
12018
Unsupervised depth estimation from monocular videos with hybrid geometric-refined loss and contextual attention
M Zhang, X Ye, X Fan, W Zhong
Neurocomputing 379, 250-261, 2020
2020
Depth Upsampling based on Deep Edge-Aware Learning
X Ye, B Sun, J Yang, Z Wang, H Li
Pattern Recognition, 107274, 2020
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, 2019
2019
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Articles 1–20