Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model. - Jingyu Yang 002; Xinchen Ye; Kun Li 001; Chunping Hou (ECCV (5), 2012)

Background extraction from video sequences via motion-assisted matrix completion. - Jingyu Yang 002; Xin Sun; Xinchen Ye; Kun Li 001 (ICIP, 2014)

Computational Multi-View Imaging with Kinect. - Xinchen Ye; Jing-Yu Yang 002; Hao Huang 003; Chunping Hou; Yao Wang 001 (IEEE Trans. Broadcast., 2014)

Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model. - Jingyu Yang 002; Xinchen Ye; Kun Li 001; Chunping Hou; Yao Wang 001 (IEEE Trans. Image Process., 2014)

Foreground-Background Separation From Video Clips via Motion-Assisted Matrix Restoration. - Xinchen Ye; Jing-Yu Yang 002; Xin Sun; Kun Li 001; Chunping Hou; Yao Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2015)

Completion of structurally-incomplete matrices with reweighted low-rank and sparsity priors. - Jing-Yu Yang 002; Xuemeng Yang; Xinchen Ye (ICASSP, 2016)

Energy-efficient strategy for cloud storage based on the characteristics of remote sensing image data. - Xinchen Ye; Yurong Qian; Jiong Yu; Jiaji Wu; Hailong Zhang 002 (IGARSS, 2016)

Depth refinement for binocular kinect RGB-D cameras. - Jinghui Bai; Jing-Yu Yang 002; Xinchen Ye; Chunping Hou (VCIP, 2016)

Depth recovery via decomposition of polynomial and piece-wise constant signals. - Xinchen Ye; Xiaolin Song; Jing-Yu Yang 002; Chunping Hou; Yao Wang 001 (VCIP, 2016)

Intrinsic decomposition from a single RGB-D image with sparse and non-local priors. - Yujie Wang; Kun Li 001; Jingyu Yang 002; Xinchen Ye (ICME, 2017)

Reconstruction of Structurally-Incomplete Matrices With Reweighted Low-Rank and Sparsity Priors. - Jing-Yu Yang 002; Xuemeng Yang; Xinchen Ye; Chunping Hou (IEEE Trans. Image Process., 2017)

Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. - Rui Xu 002; Zhen Cong; Xinchen Ye; Yasushi Hirano; Shoji Kido (ICASSP, 2018)

Depth Super-Resolution with Deep Edge-Inference Network and Edge-Guided Depth Filling. - Xinchen Ye; Xiangyue Duan; Haojie Li (ICASSP, 2018)

High Quality Depth Estimation from Monocular Images Based on Depth Prediction and Enhancement Sub-Networks. - Xiangyue Duan; Xinchen Ye; Yang Li; Haojie Li (ICME, 2018)

Dense Reconstruction from Monocular Slam with Fusion of Sparse Map-Points and Cnn-Inferred Depth. - Xiang Ji 005; Xinchen Ye; Hongcan Xu; Haojie Li (ICME, 2018)

Retinal Vessel Segmentation via Multiscaled Deep-Guidance. - Rui Xu 002; Guiliang Jiang; Xinchen Ye; Yen-Wei Chen 001 (PCM (2), 2018)

Underwater Image Enhancement Using Stacked Generative Adversarial Networks. - Xinchen Ye; Hongcan Xu; Xiang Ji 005; Rui Xu 002 (PCM (3), 2018)

Image Denoising Based on Non-parametric ADMM Algorithm. - Xinchen Ye; Mingliang Zhang 002; Qianyu Yan; Xin Fan 001; Zhongxuan Luo (PCM (2), 2018)

Does Video Content Facilitate or Impair Comprehension of Documentaries? The Effect of Cognitive Abilities and Eye Movement Strategy. - Yueyuan Zheng; Xinchen Ye; Janet H. Hsiao (CogSci, 2019)

Graph Based Non-Uniform Sampling and Reconstruction of Depth Maps. - Jingyu Yang 002; Wenqiang Xu; Xinchen Ye; Pascal Frossard; Kun Li 001 (ICIP, 2019)

Unsupervised Monocular Depth Estimation Based on Dual Attention Mechanism and Depth-Aware Loss. - Xinchen Ye; Mingliang Zhang 002; Rui Xu 002; Wei Zhong; Xin Fan 001; Zhu Liu 004; Jiaao Zhang (ICME, 2019)

Global Auto-Regressive Depth Recovery via Iterative Non-Local Filtering. - Jingyu Yang 002; Xinchen Ye; Pascal Frossard (IEEE Trans. Broadcast., 2019)

Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. - Rui Xu 002; Zhen Cong; Xinchen Ye; Shoji Kido; Noriyuki Tomiyama (ICASSP, 2020)

Retinal Vessel Segmentation via a Semantics and Multi-Scale Aggregation Network. - Rui Xu 002; Xinchen Ye; Guiliang Jiang; Tiantian Liu; Liang Li 002; Satoshi Tanaka (ICASSP, 2020)

Cascaded Detail-Aware Network for Unsupervised Monocular Depth Estimation. - Xinchen Ye; Mingliang Zhang 002; Xin Fan 001; Rui Xu 002; Juncheng Pu; Ruoke Yan (ICME, 2020)

Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. - Rui Xu 002; Xiao Cao; Yufeng Wang; Yen-Wei Chen 001; Xinchen Ye; Lin Lin 008; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Hongjie Hu; Shoji Kido; et al. (ICPR, 2020)

BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images. - Rui Xu 002; Yi Wang 037; Tiantian Liu; Xinchen Ye; Lin Lin 008; Yen-Wei Chen 001; Shoji Kido; Noriyuki Tomiyama (ICPR, 2020)

Detail- Revealing Deep Low-Dose CT Reconstruction. - Xinchen Ye; Yuyao Xu; Rui Xu 002; Shoji Kido; Noriyuki Tomiyama (ICPR, 2020)

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network. - Rui Xu 002; Tiantian Liu; Xinchen Ye; Lin Lin 008; Yen-Wei Chen 001 (MICCAI (5), 2020)

Depth Super-Resolution via Deep Controllable Slicing Network. - Xinchen Ye; Baoli Sun; Zhihui Wang 001; Jingyu Yang 002; Rui Xu 002; Haojie Li; Baopu Li (ACM Multimedia, 2020)

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network. - Rui Xu 002; Tiantian Liu; Xinchen Ye; Yen-Wei Chen 001 (CoRR, 2020)

Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network. - Chao Chai; Pengchong Qiao; Bin Zhao; Huiying Wang; Guohua Liu; Hong Wu; E. Mark Haacke; Wen Shen 008; Chen Cao 007; Xinchen Ye; Zhiyang Liu; Shuang Xia (CoRR, 2020)

DRM-SLAM: Towards dense reconstruction of monocular SLAM with scene depth fusion. - Xinchen Ye; Xiang Ji 005; Baoli Sun; Shenglun Chen; Zhihui Wang 001; Haojie Li (Neurocomputing, 2020)

Unsupervised detail-preserving network for high quality monocular depth estimation. - Mingliang Zhang 002; Xinchen Ye; Xin Fan 001 (Neurocomputing, 2020)

Unsupervised depth estimation from monocular videos with hybrid geometric-refined loss and contextual attention. - Mingliang Zhang 002; Xinchen Ye; Xin Fan 001; Wei Zhong (Neurocomputing, 2020)

Depth upsampling based on deep edge-aware learning. - Zhihui Wang 001; Xinchen Ye; Baoli Sun; Jingyu Yang 002; Rui Xu 002; Haojie Li (Pattern Recognit., 2020)

A sparsity-promoting image decomposition model for depth recovery. - Xinchen Ye; Mingliang Zhang 002; Jingyu Yang 002; Xin Fan 001; Fangfang Guo (Pattern Recognit., 2020)

Deep Joint Depth Estimation and Color Correction From Monocular Underwater Images Based on Unsupervised Adaptation Networks. - Xinchen Ye; Zheng Li; Baoli Sun; Zhihui Wang 001; Rui Xu 002; Haojie Li; Xin Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution. - Xinchen Ye; Baoli Sun; Zhihui Wang 001; Jingyu Yang 002; Rui Xu 002; Haojie Li; Baopu Li (IEEE Trans. Image Process., 2020)

Pulmonary Textures Classification via a Multi-Scale Attention Network. - Rui Xu 002; Zhen Cong; Xinchen Ye; Yasushi Hirano; Shoji Kido; Tomoko Gyobu; Yutaka Kawata; Osamu Honda; Noriyuki Tomiyama (IEEE J. Biomed. Health Informatics, 2020)

Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching. - Qi Jia 001; Zhengjun Li; Xin Fan 001; Haotian Zhao; Shiyu Teng; Xinchen Ye; Longin Jan Latecki (CVPR, 2021)

Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution. - Baoli Sun; Xinchen Ye; Baopu Li; Haojie Li; Zhihui Wang 001; Rui Xu 002 (CVPR, 2021)

Application of Multitask Joint Sparse Representation Algorithm in Chinese Painting Image Classification. - Dongyu Yang; Xinchen Ye; Baolong Guo (Complex., 2021)

DPNet: Detail-preserving network for high quality monocular depth estimation. - Xinchen Ye; Shude Chen; Rui Xu 002 (Pattern Recognit., 2021)

Sparse intrinsic decomposition and applications. - Kun Li 001; Yujie Wang; Xinchen Ye; Chenggang Yan 001; Jingyu Yang 002 (Signal Process. Image Commun., 2021)

Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation. - Xinchen Ye; Xin Fan 001; Mingliang Zhang 002; Rui Xu 002; Wei Zhong (IEEE Trans. Image Process., 2021)

Joint Extraction of Retinal Vessels and Centerlines Based on Deep Semantics and Multi-Scaled Cross-Task Aggregation. - Rui Xu 002; Tiantian Liu; Xinchen Ye; Fei Liu; Lin Lin 008; Liang Li 002; Satoshi Tanaka; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2021)

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. - Rui Xu 002; Yufeng Wang; Xinchen Ye; Pengcheng Wu; Yen-Wei Chen 001; Fangyi Xu; Wenchao Zhu; Chao Chen; Yong Zhou; Hongjie Hu; Xiaofeng Qu; Shoji Kido; et al. (ICASSP, 2022)

Underwater Stereo Matching Via Unsupervised Appearance And Feature Adaptation Networks. - Wei Zhong; Yazhi Yuan; Xinchen Ye; Dian Zheng; Rui Xu 002 (ICASSP, 2022)

Learning Data Hallucination and Reciprocal Guidance for Underwater Depth Estimation and Color Correction. - Biao Wu; Xinchen Ye; Fei Xue; Rui Xu 002 (ICME, 2022)

Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation. - Rui Xu 002; Jiaxin Zhao; Xinchen Ye; Pengcheng Wu; Zhihui Wang 001; Haojie Li; Yen-Wei Chen 001 (MICCAI (2), 2022)

Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation. - Xinchen Ye; Zheng Sun; Rui Xu 002; Zhihui Wang 001; Haojie Li (MICCAI (6), 2022)

Fine-grained Action Recognition with Robust Motion Representation Decoupling and Concentration. - Baoli Sun; Xinchen Ye; Tiantian Yan; Zhihui Wang 001; Haojie Li; Zhiyong Wang 001 (ACM Multimedia, 2022)

Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network. - Chao Chai; Pengchong Qiao; Bin Zhao; Huiying Wang; Guohua Liu; Hong Wu; Wen Shen 008; Chen Cao 007; Xinchen Ye; Zhiyang Liu; Shuang Xia (Artif. Intell. Medicine, 2022)

The data center construction of the Xinjiang Astronomical Observatory based on virtual observatory standards. - Hailong Zhang 002; J. Wang; Markus Demleitner; Xinchen Ye; M. Zhang; Y. Zhang; W. Wang; J. Li; Xu Du (Astron. Comput., 2022)

The Farther the Better: Balanced Stereo Matching via Depth-Based Sampling and Adaptive Feature Refinement. - Hong Zhang 011; Xinchen Ye; Shenglun Chen; Zhihui Wang 001; Haojie Li; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Cross-Modality depth Estimation via Unsupervised Stereo RGB-to-infrared Translation. - Shi Tang; Xinchen Ye; Fei Xue; Rui Xu 002 (ICASSP, 2023)

Exploring Coarse-to-Fine Action Token Localization and Interaction for Fine-grained Video Action Recognition. - Baoli Sun; Xinchen Ye; Zhihui Wang 001; Haojie Li; Zhiyong Wang 001 (ACM Multimedia, 2023)

Feature enhancement network for stereo matching. - Shenglun Chen; Hong Zhang 011; Baoli Sun; Haojie Li; Xinchen Ye; Zhihui Wang 001 (Image Vis. Comput., 2023)

Semantic Decomposition Network With Contrastive and Structural Constraints for Dental Plaque Segmentation. - Jian Shi; Baoli Sun; Xinchen Ye; Zhihui Wang 001; Xiaolong Luo; Jin Liu; Heli Gao; Haojie Li (IEEE Trans. Medical Imaging, 2023)

Underwater Depth Estimation via Stereo Adaptation Networks. - Xinchen Ye; Jinyi Zhang; Yazhi Yuan; Rui Xu 002; Zhihui Wang 001; Haojie Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images. - Rui Xu 002; Dan Yu; Xuan Yang; Xinchen Ye; Zhihui Wang 001; Yi Wang 037; Hongkai Wang; Haojie Li; Dingpin Huang; Fangyi Xu; Yi Gan; Yuan Tu; et al. (MICCAI (4), 2024)

Unleash the Power of Local Representations for Few-Shot Classification. - Shi Tang; Guiming Luo; Xinchen Ye; Zhiyi Xia (CoRR, 2024)

Low-resolution few-shot learning via multi-space knowledge distillation. - Ke Liu; Xinchen Ye; Baoli Sun; Hairui Yang; Haojie Li; Rui Xu 002; Zhihui Wang 001 (Inf. Sci., 2024)

GAN-BodyPose: Real-time 3D human body pose data key point detection and quality assessment assisted by generative adversarial network. - Xicheng Zhu; Xinchen Ye (Image Vis. Comput., 2024)

CustomDepth: Customizing point-wise depth categories for depth completion. - Shenglun Chen; Xinchen Ye; Hong Zhang 011; Haojie Li; Zhihui Wang 001 (Pattern Recognit. Lett., 2024)

C2ANet: Cross-Scale and Cross-Modality Aggregation Network for Scene Depth Super-Resolution. - Xinchen Ye; Yanjun Guo; Baoli Sun; Rui Xu 002; Zhihui Wang 001; Haojie Li (IEEE Trans. Multim., 2024)

Discriminative Segment Focus Network for Fine-grained Video Action Recognition. - Baoli Sun; Xinchen Ye; Tiantian Yan; Zhihui Wang 001; Haojie Li; Zhiyong Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Digging into Depth and Color Spaces: A Mapping Constraint Network for Depth Super-Resolution. - Baoli Sun; Yanjun Guo; Tiantian Yan; Xinchen Ye; Zhihui Wang 001; Haojie Li; Zhiyong Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Few-shot Image Classification based on Attribute Prediction and Selection. - Xin Sun; Boqian Liu; Xinchen Ye; Guanqiao Chen; Rui Xu; Haojie Li (ICASSP, 2025)

Self-Supervised Monocular Depth Estimation from Videos via Pose-Adaptive Reconstruction. - Xin Sun; Boqian Liu; Xinchen Ye; Rui Xu; Haojie Li (ICASSP, 2025)

2.5D Top-K Ranked Multiple Instance Learning to Classify NSCLC PD-L1 Status on CT Images. - Rui Xu; Huadong Liu; Yongcen Li; Xinchen Ye; Zhihui Wang; Hongkai Wang; Haojie Li; Yi Wang 037; Dingpin Huang; Fangyi Xu; Yi Gan; Yuan Tu; et al. (ICASSP, 2025)

Mining Scene Structural Guidance for Thermal Images in Self-Supervised Monocular Depth Estimation. - Xinchen Ye; Xia Mao; Rui Xu; Haojie Li (ICASSP, 2025)

Delving into Transformer-based Network Architecture for Guided Depth Super-Resolution. - Xinchen Ye; Aokai Zhang; Rui Xu; Haojie Li (ICASSP, 2025)

Guided Infrared Image Super-Resolution via Cross-modal Progressive Guidance. - Xinchen Ye; Siqi Wang; Rui Xu 002; Haojie Li (ICMR, 2025)

Dynamic Motion Modeling for Enhanced Visual-Inertial Odometry. - Xinchen Ye; Haobo Wang; Rui Xu 002; Haojie Li (ICMR, 2025)

High-Quality Reconstruction of Depth Maps From Graph-Based Non-Uniform Sampling. - Jing-Yu Yang 002; Wenqiang Xu; Yusen Hou; Xinchen Ye; Pascal Frossard; Kun Li 001 (IEEE Trans. Multim., 2025)

UW-Adapter: Adapting Monocular Depth Estimation Model in Underwater Scenes. - Xinchen Ye; Yue Chang; Rui Xu 002; Haojie Li (IEEE Trans. Multim., 2025)

Self-Supervised Monocular Depth Estimation From Videos via Adaptive Reconstruction Constraints. - Xinchen Ye; Yuxiang Ou; Biao Wu; Rui Xu 002; Haojie Li (IEEE Trans. Circuits Syst. Video Technol., 2025)

Readiness Evaluation of Freeways for Lane-Detection Performance of Lidar-Based Automated Vehicles: A Field Test Analysis. - Xinchen Ye; Xuesong Wang 006; Salvatore Cafiso; Alfredo García 003 (IEEE Trans. Intell. Transp. Syst., 2025)