Joint learning for side information and correlation model based on linear regression model in distributed video coding. - Xianming Liu 005; Debin Zhao; Yongbing Zhang 002; Siwei Ma 001; Qingming Huang; Wen Gao 001 (ICIP, 2009)

Multi-hypothesis based multi-view distributed video coding. - Yongpeng Li; Hongbin Liu 004; Xianming Liu 005; Siwei Ma 001; Debin Zhao; Wen Gao 001 (PCS, 2009)

Two-pass reconstruction in distributed video coding. - Hongbin Liu 004; Yongpeng Li; Xianming Liu 005; Siwei Ma 001; Debin Zhao; Wen Gao 001 (PCS, 2009)

Improved low delay distributed video coding. - Hongbin Liu 004; Yongpeng Li; Xianming Liu 005; Siwei Ma 001; Debin Zhao; Wen Gao 001 (PCS, 2009)

Local adaptive learning and fusion for side information interpolation in distributed video coding. - Xianming Liu 005; Yongbing Zhang 002; Yongpeng Li; Hongbin Liu 004; Siwei Ma 001; Debin Zhao (PCS, 2009)

Image interpolation via regularized local linear regression. - Xianming Liu 005; Debin Zhao; Ruiqin Xiong; Siwei Ma 001; Wen Gao 001 (PCS, 2010)

Side information enhancement via texture and motion activity analysis in distributed video coding. - Xianming Liu 005; Debin Zhao; Siwei Ma 001; Wen Gao 001 (VCIP, 2010)

Transductive Regression with Local and Global Consistency for Image Super-Resolution. - Xianming Liu 005; Debin Zhao; Ruiqin Xiong; Siwei Ma 001; Wen Gao 001; Huifang Sun (DCC, 2011)

Side information extrapolation with temporal and spatial consistency. - Xianming Liu 005; Deming Zhai; Debin Zhao; Ruiqin Xiong; Siwei Ma 001; Wen Gao 001 (ISCAS, 2011)

Image Interpolation Via Regularized Local Linear Regression. - Xianming Liu 005; Debin Zhao; Ruiqin Xiong; Siwei Ma 001; Wen Gao 001; Huifang Sun (IEEE Trans. Image Process., 2011)

Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. - Xianming Liu 005; Deming Zhai; Guangtao Zhai; Debin Zhao; Ruiqin Xiong; Wen Gao 001 (DCC, 2012)

Web image interpolation via weighted total least squares regression. - Xianming Liu 005; Deming Zhai; Guangtao Zhai; Debin Zhao; Wen Gao 001 (ICASSP, 2012)

Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications. - Xianming Liu 005; Xiaolin Wu 001; Xinwei Gao; Debin Zhao; Wen Gao 001 (VCIP, 2012)

Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. - Xianming Liu 005; Deming Zhai; Debin Zhao; Wen Gao 001 (DCC, 2013)

Progressive Image Restoration through Hybrid Graph Laplacian Regularization. - Deming Zhai; Xianming Liu 005; Debin Zhao; Hong Chang 001; Wen Gao 001 (DCC, 2013)

On the design of an efficient encryption-then-compression system. - Jiantao Zhou 001; Xianming Liu 005; Oscar C. Au (ICASSP, 2013)

Sparsity-based soft decoding of compressed images in transform domain. - Xianming Liu 005; Xiaolin Wu 001; Debin Zhao (ICIP, 2013)

Spatial error concealment via model based coupled sparse representation. - Deming Zhai; Xianming Liu 005; Jiantao Zhou 001; Debin Zhao; Wen Gao 001 (ICME Workshops, 2013)

Parametric Local Multimodal Hashing for Cross-View Similarity Search. - Deming Zhai; Hong Chang 001; Yi Zhen; Xianming Liu 005; Xilin Chen 001; Wen Gao 001 (IJCAI, 2013)

Low bit-rate image coding via local random down-sampling. - Reza Pournaghi; Xiaolin Wu 001; Xianming Liu 005 (PCS, 2013)

Multiple Description Image Coding with Local Random Measurements. - Xianming Liu 005; Xiaolin Wu 001; Debin Zhao (DCC, 2014)

Estimation of capacity parameters for dynamic histogram shifting (DHS)-based reversible image watermarking. - Li Dong 006; Jiantao Zhou 001; Yuan Yan Tang; Xianming Liu 005 (ICME, 2014)

Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling. - Jiantao Zhou 001; Oscar C. Au; Guangtao Zhai; Yuan Yan Tang; Xianming Liu 005 (IEEE Trans. Inf. Forensics Secur., 2014)

Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation. - Jiantao Zhou 001; Xianming Liu 005; Oscar C. Au; Yuan Yan Tang (IEEE Trans. Inf. Forensics Secur., 2014)

Image Interpolation via Graph-Based Bayesian Label Propagation. - Xianming Liu 005; Debin Zhao; Jiantao Zhou 001; Wen Gao 001; Huifang Sun (IEEE Trans. Image Process., 2014)

Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework. - Xianming Liu 005; Deming Zhai; Debin Zhao; Guangtao Zhai; Wen Gao 001 (IEEE Trans. Image Process., 2014)

Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain. - Xianming Liu 005; Xiaolin Wu 001; Jiantao Zhou 001; Debin Zhao (CVPR, 2015)

Joint denoising and contrast enhancement of images using graph laplacian operator. - Xianming Liu 005; Gene Cheung; Xiaolin Wu 001 (ICASSP, 2015)

Inter-block consistent soft decoding of JPEG images with sparsity and graph-signal smoothness priors. - Xianming Liu 005; Gene Cheung; Xiaolin Wu 001; Debin Zhao (ICIP, 2015)

Frame Rate and Perceptual Quality for HD Video. - Yutao Liu 002; Guangtao Zhai; Debin Zhao; Xianming Liu 005 (PCM (2), 2015)

Quality assessment for out-of-focus blurred images. - Yutao Liu 002; Guangtao Zhai; Xianming Liu 005; Debin Zhao (VCIP, 2015)

Model-based low bit-rate video coding for resource-deficient wireless visual communication. - Xianming Liu 005; Xinwei Gao; Debin Zhao; Jiantao Zhou 001; Guangtao Zhai; Wen Gao 001 (Neurocomputing, 2015)

Quantization bin matching for cloud storage of JPEG images. - Xianming Liu 005; Gene Cheung; Chia-Wen Lin; Debin Zhao (ICASSP, 2016)

Blind quality assessment of compressed images via pseudo structural similarity. - Xiongkuo Min; Guangtao Zhai; Ke Gu 001; Yuming Fang; Xiaokang Yang 001; Xiaolin Wu 001; Jiantao Zhou 001; Xianming Liu 005 (ICME, 2016)

Mesh Denoising with Local Guided Normal Filtering and Non-local Similarity. - Wenbo Zhao 004; Xianming Liu 005; Jiantao Zhou 001; Debin Zhao; Wen Gao 001 (IFTC, 2016)

Perceptual image quality assessment combining free-energy principle and sparse representation. - Yutao Liu 002; Guangtao Zhai; Xianming Liu 005; Debin Zhao (ISCAS, 2016)

Secure Reversible Image Data Hiding Over Encrypted Domain via Key Modulation. - Jiantao Zhou 001; Weiwei Sun 009; Li Dong 006; Xianming Liu 005; Oscar C. Au; Yuan Yan Tang (IEEE Trans. Circuits Syst. Video Technol., 2016)

SIFT Keypoint Removal and Injection via Convex Relaxation. - Yuanman Li; Jiantao Zhou 001; An Cheng; Xianming Liu 005; Yuan Yan Tang (IEEE Trans. Inf. Forensics Secur., 2016)

Data-Driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain. - Xianming Liu 005; Xiaolin Wu 001; Jiantao Zhou 001; Debin Zhao (IEEE Trans. Image Process., 2016)

Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication. - Xianming Liu 005; Deming Zhai; Jiantao Zhou 001; Xinfeng Zhang 001; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2016)

Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation. - Xinfeng Zhang 001; Weisi Lin; Ruiqin Xiong; Xianming Liu 005; Siwei Ma 001; Wen Gao 001 (IEEE Trans. Image Process., 2016)

Guided Image Contrast Enhancement Based on Retrieved Images in Cloud. - Shiqi Wang 001; Ke Gu 001; Siwei Ma 001; Weisi Lin; Xianming Liu 005; Wen Gao 001 (IEEE Trans. Multim., 2016)

Single depth image super-resolution and denoising based on sparse graphs via structure tensor. - Yihui Feng; Xianming Liu 005; Yongbing Zhang 002; Qionghai Dai (ICIP, 2017)

Dynamic backlight scaling considering ambient luminance for mobile energy saving. - Wei Sun 029; Guangtao Zhai; Xiongkuo Min; Yutao Liu 002; Siwei Ma 001; Jing Liu 002; Jiantao Zhou 001; Xianming Liu 005 (ICME, 2017)

Fast Noisy Image Quality Assessment Based on Free-Energy Principle. - Yadan Zhao; Yutao Liu 002; Feng Jiang 001; Xianming Liu 005; Debin Zhao (IFTC, 2017)

Multi-scale Similarity Enhanced Guided Normal Filtering. - Wenbo Zhao 004; Xianming Liu 005; Shiqi Wang 001; Debin Zhao (PCM (2), 2017)

Quality assessment for real out-of-focus blurred images. - Yutao Liu 002; Ke Gu 001; Guangtao Zhai; Xianming Liu 005; Debin Zhao; Wen Gao 001 (J. Vis. Commun. Image Represent., 2017)

Random Walk Graph Laplacian-Based Smoothness Prior for Soft Decoding of JPEG Images. - Xianming Liu 005; Gene Cheung; Xiaolin Wu 001; Debin Zhao (IEEE Trans. Image Process., 2017)

Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. - Xianming Liu 005; Deming Zhai; Jiantao Zhou 001; Shiqi Wang 001; Debin Zhao; Huijun Gao (IEEE Trans. Image Process., 2017)

Utility-Driven Adaptive Preprocessing for Screen Content Video Compression. - Shiqi Wang 001; Xinfeng Zhang 001; Xianming Liu 005; Jian Zhang 018; Siwei Ma 001; Wen Gao 001 (IEEE Trans. Multim., 2017)

Compressed Image Restoration via External-Image Assisted Band Adaptive PCA Model Learning. - Qiang Song; Ruiqin Xiong; Xiaopeng Fan; Xianming Liu 005; Tiejun Huang 001; Wen Gao 001 (DCC, 2018)

Blind Image Deblurring Via Reweighted Graph Total Variation. - Yuanchao Bai; Gene Cheung; Xianming Liu 005; Wen Gao 001 (ICASSP, 2018)

A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network. - Zhaohui Che; Guangtao Zhai; Jing Liu 002; Ke Gu 001; Patrick Le Callet; Jiantao Zhou 001; Xianming Liu 005 (ICIP, 2018)

Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. - Zhaohui Che; Guangtao Zhai; Ke Gu 001; Patrick Le Callet; Xianming Liu 005; Deming Zhai; Xiao Gu 001 (ISCAS, 2018)

Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. - Deming Zhai; Ao Li; Yang Li; Yang Liu 006; GuoJun Liu; Xianming Liu 005; Maozu Guo 001 (PCM (1), 2018)

Parametric local multiview hamming distance metric learning. - Deming Zhai; Xianming Liu 005; Hong Chang 001; Yi Zhen; Xilin Chen 001; Maozu Guo 001; Wen Gao 001 (Pattern Recognit., 2018)

Prior-Based Quantization Bin Matching for Cloud Storage of JPEG Images. - Xianming Liu 005; Gene Cheung; Chia-Wen Lin; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2018)

Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation. - Yutao Liu 002; Guangtao Zhai; Ke Gu 001; Xianming Liu 005; Debin Zhao; Wen Gao 001 (IEEE Trans. Multim., 2018)

Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. - Deming Zhai; Xianming Liu 005; Xiangyang Ji; Debin Zhao; Shin'ichi Satoh 001; Wen Gao 001 (IEEE Trans. Multim., 2018)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

Reconstruction-cognizant Graph Sampling Using Gershgorin Disc Alignment. - Yuanchao Bai; Gene Cheung; Fen Wang; Xianming Liu 005; Wen Gao 001 (ICASSP, 2019)

AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. - Dario Fuoli; Xiaoyong Shen; Shutao Xia; Yurong Dai; Jiaya Jia; Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Jiayi Ma 001; Zhiwei Zhong; Shuhang Gu; et al. (ICCV Workshops, 2019)

NormalNet: Learning based Guided Normal Filtering for Mesh Denoising. - Wenbo Zhao 004; Xianming Liu 005; Yongsen Zhao; Xiaopeng Fan; Debin Zhao (CoRR, 2019)

Hyperspectral Image Classification in the Presence of Noisy Labels. - Junjun Jiang; Jiayi Ma 001; Zheng Wang 007; Chen Chen 001; Xianming Liu 005 (IEEE Trans. Geosci. Remote. Sens., 2019)

Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior. - Deming Zhai; Xianming Liu 005; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Ind. Electron., 2019)

Graph-Based Blind Image Deblurring From a Single Photograph. - Yuanchao Bai; Gene Cheung; Xianming Liu 005; Wen Gao 001 (IEEE Trans. Image Process., 2019)

Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. - Junjun Jiang; Yi Yu 001; Zheng Wang 007; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Image Process., 2019)

Graph-Based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images. - Xianming Liu 005; Gene Cheung; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2019)

Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. - Xianming Liu 005; Deming Zhai; Rong Chen; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2019)

Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations. - Xianming Liu 005; Deming Zhai; Rong Chen; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2019)

Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. - Chenyang Wang 002; Zhiwei Zhong; Junjun Jiang; Deming Zhai; Xianming Liu 005 (ICASSP, 2020)

Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing. - Qiang Li; Xianming Liu 005; Kaige Han; Cheng Guo 008; Xiangyang Ji; Xiaolin Wu 001 (CoRR, 2020)

Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. - Ruifeng Shi; Deming Zhai; Xianming Liu 005; Junjun Jiang; Wen Gao 001 (CoRR, 2020)

Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. - Junjun Jiang; He Sun; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2020)

Single-Image Blind Deblurring Using Multi-Scale Latent Structure Prior. - Yuanchao Bai; Huizhu Jia; Ming Jiang 001; Xianming Liu 005; Xiaodong Xie; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition. - Xianming Liu 005; Deming Zhai; Yuanchao Bai; Xiangyang Ji; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. - Yongbing Zhang 002; Yihui Feng; Xianming Liu 005; Deming Zhai; Xiangyang Ji; Haoqian Wang; Qionghai Dai (IEEE Trans. Circuits Syst. Video Technol., 2020)

Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression. - Yuanchao Bai; Xianming Liu 005; Wangmeng Zuo; Yaowei Wang 001; Xiangyang Ji (CVPR, 2021)

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. - Feilong Zhang 002; Xianming Liu 005; Cheng Guo 008; Shiyi Lin; Junjun Jiang; Xiangyang Ji (CVPR, 2021)

Learning with Noisy Labels via Sparse Regularization. - Xiong Zhou; Xianming Liu 005; Chenyang Wang 002; Deming Zhai; Junjun Jiang; Xiangyang Ji (ICCV, 2021)

Zero-Shot Multi-Focus Image Fusion. - Xingyu Hu; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (ICME, 2021)

Heatmap-Aware Pyramid Face Hallucination. - Chenyang Wang 002; Junjun Jiang; Xianming Liu 005 (ICME, 2021)

Learning Scalable $ ell_ infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression. - Yuanchao Bai; Xianming Liu 005; Wangmeng Zuo; Yaowei Wang 001; Xiangyang Ji (CoRR, 2021)

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; David Plowman; Samarth Shukla; Radu Timofte; Ziyu Zhang; Yicheng Wang; Zilong Huang; Guozhong Luo; Gang Yu 002; Bin Fu; Yiran Wang 005; et al. (CoRR, 2021)

BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. - Pengwei Liang; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (CoRR, 2021)

Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. - Junjun Jiang; Chenyang Wang 002; Kui Jiang; Xianming Liu 005; Jiayi Ma 001 (CoRR, 2021)

A Practical Contrastive Learning Framework for Single Image Super-Resolution. - Gang Wu 010; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (CoRR, 2021)

Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. - Qiang Li; Xianming Liu 005; Junjun Jiang; Cheng Guo 008; Xiangyang Ji; Xiaolin Wu 001 (IEEE Trans. Computational Imaging, 2021)

NormalNet: Learning-Based Mesh Normal Denoising via Local Partition Normalization. - Wenbo Zhao 004; Xianming Liu 005; Yongsen Zhao; Xiaopeng Fan; Debin Zhao (IEEE Trans. Circuits Syst. Video Technol., 2021)

Graph-Based Feature-Preserving Mesh Normal Filtering. - Wenbo Zhao 004; Xianming Liu 005; Shiqi Wang 001; Xiaopeng Fan; Debin Zhao (IEEE Trans. Vis. Comput. Graph., 2021)

Towards End-to-End Image Compression and Analysis with Transformers. - Yuanchao Bai; Xu Yang; Xianming Liu 005; Junjun Jiang; Yaowei Wang 001; Xiangyang Ji; Wen Gao 001 (AAAI, 2022)

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. - Zhenyu Li 007; Zehui Chen; Ang Li; Liangji Fang; Qinhong Jiang; Xianming Liu 005; Junjun Jiang; Bolei Zhou; Hang Zhao 021 (AAAI, 2022)

Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. - Wenbo Zhao 004; Xianming Liu 005; Junjun Jiang; Debin Zhao; Ge Li 002; Xiangyang Ji (AAAI, 2022)

From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. - Junjun Jiang; Chenyang Wang 002; Xianming Liu 005; Kui Jiang; Jiayi Ma 001 (CVPR Workshops, 2022)

GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. - Zeyu Lu; Junjun Jiang; Junqin Huang; Gang Wu 010; Xianming Liu 005 (CVPR Workshops, 2022)

Thermal Image Super-Resolution Challenge Results - PBVS 2022. - Rafael E. Rivadeneira; Angel Domingo Sappa; Boris Xavier Vintimilla; Jin Kim; Dogun Kim; Zhihao Li; Yingchun Jian; Bo Yan; Leilei Cao; Fengliang Qi; Hongbin Wang 006; Rongyuan Wu; et al. (CVPR Workshops, 2022)

NTIRE 2022 Image Inpainting Challenge: Report. - Andrés Romero; Angela Castillo; Jose Abril-Nova; Radu Timofte; Ritwik Das; Sanchit Hira; Zhihong Pan 001; Min Zhang 030; Baopu Li; Dongliang He; Tianwei Lin; Fu Li 003; et al. (CVPR Workshops, 2022)

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. - Wenbo Zhao 004; Xianming Liu 005; Zhiwei Zhong; Junjun Jiang; Wei Gao 003; Ge Li 002; Xiangyang Ji (CVPR, 2022)

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Lukasz Treszczotko; Xin Chang; Piotr Ksiazek; Michal Lopuszynski; Maciej Pioro; Rafal Rudnicki; Maciej Smyl; Yujie Ma; Zhenyu Li 007; et al. (ECCV Workshops (3), 2022)

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. - Zhenyu Li 007; Zehui Chen; Ang Li; Liangji Fang; Qinhong Jiang; Xianming Liu 005; Junjun Jiang (ECCV (9), 2022)

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. - Zhenyu Li 007; Zehui Chen; Jialei Xu; Xianming Liu 005; Junjun Jiang (ECCV Workshops (2), 2022)

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. - Pengwei Liang; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (ECCV (18), 2022)

Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. - Zhenyu Li 007; Junjun Jiang; Xianming Liu 005 (IEEE CAA J. Autom. Sinica, 2022)

BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. - Pengwei Liang; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (IEEE CAA J. Autom. Sinica, 2022)

Deep Unfolding Network for Spatiospectral Image Super-Resolution. - Qing Ma; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2022)

Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Xianming Liu 005 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. - Qing Ma; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Image Process., 2022)

High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. - Zhiwei Zhong; Xianming Liu 005; Junjun Jiang; Debin Zhao; Zhiwen Chen 002; Xiangyang Ji (IEEE Trans. Image Process., 2022)

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. - Wei Hu 003; Jiahao Pang; Xianming Liu 005; Dong Tian; Chia-Wen Lin; Anthony Vetro (IEEE Trans. Multim., 2022)

Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. - Junjun Jiang; Jiayi Ma 001; Xianming Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Thermal Image Super-Resolution Challenge Results - PBVS 2023. - Rafael E. Rivadeneira; Angel Domingo Sappa; Boris Xavier Vintimilla; Chenyang Wang 002; Junjun Jiang; Xianming Liu 005; Zhiwei Zhong; Dai Bin; Li Ruodi; Shengye Li (CVPR Workshops, 2023)

Spatial-Frequency Mutual Learning for Face Super-Resolution. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Xianming Liu 005 (CVPR, 2023)

Large Sparse Kernels for Federated Learning. - Feilong Zhang 002; Yinchuan Li; Shiyi Lin; Yunfeng Shao 001; Junjun Jiang; Xianming Liu 005 (Tiny Papers @ ICLR, 2023)

Learning Lossless Compression for High Bit-Depth Medical Imaging. - Kai Wang 070; Yuanchao Bai; Deming Zhai; Daxin Li; Junjun Jiang; Xianming Liu 005 (ICME, 2023)

No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. - Feilong Zhang 002; Xianming Liu 005; Shiyi Lin; Gang Wu 010; Xiong Zhou; Junjun Jiang; Xiangyang Ji (ICML, 2023)

Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. - Zhenyu Li 007; Zhipeng Zhang; Heng Fan 001; Yuan He; Ke Wang; Xianming Liu 005; Junjun Jiang (CoRR, 2023)

Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. - Gang Wu 010; Junjun Jiang; Yuanchao Bai; Xianming Liu 005 (CoRR, 2023)

Deep Learning-based Face Super-resolution: A Survey. - Junjun Jiang; Chenyang Wang 002; Xianming Liu 005; Jiayi Ma 001 (ACM Comput. Surv., 2023)

Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. - Hanzhang Wang; Deming Zhai; Xianming Liu 005; Junjun Jiang; Wen Gao 001 (IEEE Trans. Image Process., 2023)

ZMFF: Zero-shot multi-focus image fusion. - Xingyu Hu; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (Inf. Fusion, 2023)

Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. - Xiong Zhou; Xianming Liu 005; Deming Zhai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. - Wenbo Zhao 004; Xianming Liu 005; Deming Zhai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Super-Resolving Face Image by Facial Parsing Information. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Deming Zhai; Xianming Liu 005 (IEEE Trans. Biom. Behav. Identity Sci., 2023)

DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. - Zhenyu Li 007; Zehui Chen; Xianming Liu 005; Junjun Jiang (Mach. Intell. Res., 2023)

Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution. - Qing Ma; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (Inf. Fusion, 2023)

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005 (AAAI, 2024)

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. - Chenyang Wang 002; Junjun Jiang; Kui Jiang; Xianming Liu 005 (AAAI, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. - Marcos V. Conde; Florin-Alexandru Vasluianu; Jinhui Xiong; Wei Ye; Rakesh Ranjan; Radu Timofte; Huan Zheng; Wencheng Han; Tianyi Yan; Jianbing Shen; Pihai Sun; Yuanqi Yao; et al. (ECCV Workshops (10), 2024)

Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. - Yuanqi Yao; Gang Wu 010; Kui Jiang; Siao Liu; Jian Kuai; Xianming Liu 005; Junjun Jiang (ECCV (24), 2024)

Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression. - Yutong Zhang; Wenbo Zhao 004; Daxin Li; Junjun Jiang; Xianming Liu 005 (ICIP, 2024)

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. - Xiong Zhou; Xianming Liu 005; Feilong Zhang 002; Gang Wu 010; Deming Zhai; Junjun Jiang; Xiangyang Ji (ICLR, 2024)

Exploiting Self-Supervised Constraints in image Super-Resolution. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005 (ICME, 2024)

Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005 (ACM Multimedia, 2024)

Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data. - Yuchen Pan; Junjun Jiang; Kui Jiang; Xianming Liu 005 (ACM Multimedia, 2024)

AFBench: A Large-scale Benchmark for Airfoil Design. - Jian Liu 036; Jianyu Wu; Hairun Xie; Guoqing Zhang; Jing Wang; Wei Liu 123; Wanli Ouyang; Junjun Jiang; Xianming Liu 005; Shixiang Tang; Miao Zhang (NeurIPS, 2024)

Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu 005 (VCIP, 2024)

Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. - Qingbin Wei; Feilong Zhang 002; Yuanchao Bai; Deming Zhai; Junjun Jiang; Xianming Liu 005 (VCIP, 2024)

A Comprehensive Survey on 3D Content Generation. - Jian Liu 036; Xiaoshui Huang; Tianyu Huang; Lu Chen 001; Yuenan Hou; Shixiang Tang; Ziwei Liu 002; Wanli Ouyang; Wangmeng Zuo; Junjun Jiang; Xianming Liu 005 (CoRR, 2024)

Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. - Jialei Xu; Xianming Liu 005; Junjun Jiang; Kui Jiang; Rui Li 013; Kai Cheng; Xiangyang Ji (CoRR, 2024)

OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction. - Jian Liu 036; Sipeng Zhang; Chuixin Kong; Wenyuan Zhang; Yuhang Wu; Yikang Ding; Borun Xu; Ruibo Ming; Donglai Wei 002; Xianming Liu 005 (CoRR, 2024)

REPS: Reconstruction-based Point Cloud Sampling. - Guoqing Zhang; Wenbo Zhao 004; Jian Liu 036; Xianming Liu 005 (CoRR, 2024)

Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation. - Yifan Mao; Jian Liu 036; Xianming Liu 005 (CoRR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Mesh Denoising Transformer. - Wenbo Zhao 004; Xianming Liu 005; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Yaru Niu; Wei Tsang Ooi; Benoit R. Cottereau; Lai Xing Ng; Yuexin Ma; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; et al. (CoRR, 2024)

DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge. - Yifan Mao; Ming Li; Jian Liu 036; Jiayang Liu; Zihan Qin; Chunxi Chu; Jialei Xu; Wenbo Zhao 004; Junjun Jiang; Xianming Liu 005 (CoRR, 2024)

PVContext: Hybrid Context Model for Point Cloud Compression. - Guoqing Zhang; Wenbo Zhao 004; Jian Liu 036; Yuanchao Bai; Junjun Jiang; Xianming Liu 005 (CoRR, 2024)

MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields. - Yuru Xiao; Deming Zhai; Wenbo Zhao 004; Kui Jiang; Junjun Jiang; Xianming Liu 005 (CoRR, 2024)

Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond. - Pengwei Liang; Junjun Jiang; Qing Ma; Xianming Liu 005; Jiayi Ma 001 (CoRR, 2024)

A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends. - Junjun Jiang; Zengyuan Zuo; Gang Wu 010; Kui Jiang; Xianming Liu 005 (CoRR, 2024)

Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions. - Zihan Qin; Jialei Xu; Wenbo Zhao 004; Junjun Jiang; Xianming Liu 005 (CoRR, 2024)

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution. - Chenyang Wang 002; Wenjie An; Kui Jiang; Xianming Liu 005; Junjun Jiang (CoRR, 2024)

HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction. - Ziqi Bai; Xianming Liu 005; Cheng Guo 008; Kui Jiang; Junjun Jiang; Xiangyang Ji (IEEE Trans. Computational Imaging, 2024)

Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring. - Pengwei Liang; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Computational Imaging, 2024)

Incrementally Adapting Pretrained Model Using Network Prior for Multi-Focus Image Fusion. - Xingyu Hu; Junjun Jiang; Chenyang Wang 002; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Image Process., 2024)

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. - Zhenyu Li 007; Xuyang Wang; Xianming Liu 005; Junjun Jiang (IEEE Trans. Image Process., 2024)

Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach. - Gang Wu 010; Junjun Jiang; Junpeng Jiang; Xianming Liu 005 (IEEE Trans. Image Process., 2024)

Reciprocal transformer for hyperspectral and multispectral image fusion. - Qing Ma; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (Inf. Fusion, 2024)

Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression. - Yuanchao Bai; Xianming Liu 005; Kai Wang 070; Xiangyang Ji; Xiaolin Wu 001; Wen Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Overhead-free Noise-tolerant Federated Learning: A New Baseline. - Shiyi Lin; Deming Zhai; Feilong Zhang 002; Junjun Jiang; Xianming Liu 005; Xiangyang Ji (Mach. Intell. Res., 2024)

ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation. - Chenyang Wang 002; Junjun Jiang; Xiong Zhou; Xianming Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SPADNet: Structure Prior-Aware Dynamic Network for Face Super-Resolution. - Chenyang Wang 002; Junjun Jiang; Kui Jiang; Xianming Liu 005 (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. - Jinwang Pan; Xianming Liu 005; Yuanchao Bai; Deming Zhai; Junjun Jiang; Debin Zhao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Deep Attentional Guided Image Filtering. - Zhiwei Zhong; Xianming Liu 005; Junjun Jiang; Debin Zhao; Xiangyang Ji (IEEE Trans. Neural Networks Learn. Syst., 2024)

GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu 005; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Practical Contrastive Learning Framework for Single-Image Super-Resolution. - Gang Wu 010; Junjun Jiang; Xianming Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005 (Mach. Intell. Res., 2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression. - Daxin Li; Yuanchao Bai; Kai Wang 070; Junjun Jiang; Xianming Liu 005; Wen Gao 001 (AAAI, 2025)

Debiased All-in-one Image Restoration with Task Uncertainty Regularization. - Gang Wu 010; Junjun Jiang; Yijun Wang; Kui Jiang; Xianming Liu 005 (AAAI, 2025)

Spatial Annealing for Efficient Few-shot Neural Rendering. - Yuru Xiao; Deming Zhai; Wenbo Zhao 004; Kui Jiang; Junjun Jiang; Xianming Liu 005 (AAAI, 2025)

NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. - Zheng Chen 014; Jingkai Wang 003; Kai Liu 034; Jue Gong; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Jianxing Zhang; Jinlong Wu; Jun Wang; Zheng Xie; et al. (CVPR Workshops, 2025)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. - Jialei Xu; Rui Li 013; Kai Cheng; Junjun Jiang; Xianming Liu 005 (ICRA, 2025)

Enhancing consistency and mitigating bias: A data replay approach for incremental learning. - Chenyang Wang 002; Junjun Jiang; Xingyu Hu; Xianming Liu 005; Xiangyang Ji (Neural Networks, 2025)

Diff-Holo: A Residual Diffusion Model With Complex Transformer for Rapid Single-Frame Hologram Reconstruction. - Ziqi Bai; Xianming Liu 005; Cheng Guo 008; Kui Jiang; Junjun Jiang; Xiangyang Ji (IEEE Trans. Computational Imaging, 2025)

FusionINV: A Diffusion-Based Approach for Multimodal Image Fusion. - Pengwei Liang; Junjun Jiang; Qing Ma; Chenyang Wang 002; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Image Process., 2025)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. - Kai Wang 070; Yuanchao Bai; Daxin Li; Deming Zhai; Junjun Jiang; Xianming Liu 005 (IEEE Trans. Image Process., 2025)

Learning Dynamic Prompts for All-in-One Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005; Liqiang Nie (IEEE Trans. Image Process., 2025)

Fast and Accurate 6-D Object Pose Refinement via Implicit Surface Optimization. - Bo Pang; Deming Zhai; Jianan Zhen; Long Wang; Xianming Liu 005 (IEEE Trans. Robotics, 2025)

FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion. - Pihai Sun; Junjun Jiang; Yuanqi Yao; Youyu Chen; Wenbo Zhao 004; Kui Jiang; Xianming Liu 005 (CoRR, 2025)

Image Deblurring by Exploring In-Depth Properties of Transformer. - Pengwei Liang; Junjun Jiang; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Content-Aware Transformer for All-in-one Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005 (CoRR, 2025)

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion. - Xingyu Hu; Junjun Jiang; Chenyang Wang 002; Kui Jiang; Xianming Liu 005; Jiayi Ma 001 (CoRR, 2025)

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005; Liqiang Nie (CoRR, 2025)

Boosting All-in-One Image Restoration via Self-Improved Privilege Learning. - Gang Wu 010; Junjun Jiang; Kui Jiang; Xianming Liu 005 (CoRR, 2025)

Pixel2Pixel: A Pixelwise Approach for Zero-Shot Single Image Denoising. - Qing Ma; Junjun Jiang; Xiong Zhou; Pengwei Liang; Xianming Liu 005; Jiayi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Self-Supervised Multi-Camera Collaborative Depth Prediction With Latent Diffusion Models. - Jialei Xu; Xianming Liu 005; Yuanchao Bai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Intell. Transp. Syst., 2025)

VDEGaussian: Video Diffusion Enhanced 4D Gaussian Splatting for Dynamic Urban Scenes Modeling. - Yuru Xiao; Zihan Lin; Chao Lu; Deming Zhai; Kui Jiang; Wenbo Zhao 004; Wei Zhang 010; Junjun Jiang; Huanran Wang; Xianming Liu 005 (CoRR, 2025)

Dual-Level Cross-Modality Neural Architecture Search for Guided Image Super-Resolution. - Zhiwei Zhong; Xianming Liu 005; Junjun Jiang; Debin Zhao; Shiqi Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

DAWN+: Wavelet-Based Image Deraining Meets Direction-Aware Attention and Mutual Representation. - Kui Jiang; Junjun Jiang; Zheng Wang 007; Zihan Geng; Xianming Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2025)