Lorentzian Discriminant Projection and Its Applications. - Risheng Liu; Zhixun Su; Zhouchen Lin; Xiaoyu Hou (ACCV (3), 2009)

Learning PDEs for Image Restoration via Optimal Control. - Risheng Liu; Zhouchen Lin; Wei Zhang 010; Zhixun Su (ECCV (1), 2010)

Feature extraction by learning Lorentzian metric tensor and its extensions. - Risheng Liu; Zhouchen Lin; Zhixun Su; Kewei Tang (Pattern Recognit., 2010)

Robust head pose estimation via Convex Regularized Sparse Regression. - Hao Ji; Risheng Liu; Fei Su; Zhixun Su; Yan Tian (ICIP, 2011)

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. - Zhouchen Lin; Risheng Liu; Zhixun Su (NIPS, 2011)

Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering - Risheng Liu; Zhouchen Lin; Siming Wei; Zhixun Su (CoRR, 2011)

Fixed-rank representation for unsupervised visual learning. - Risheng Liu; Zhouchen Lin; Fernando De la Torre; Zhixun Su (CVPR, 2012)

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. - Risheng Liu; Zhouchen Lin; Zhixun Su (ACML, 2013)

Mixture of related regressions for head pose estimation. - Lili Pan 001; Risheng Liu; Mei Xie (ICIP, 2013)

Saliency detection based on an edge-preserving filter. - Jin-shan Pan; Zhixun Su; Maoran Bian; Risheng Liu (ICIP, 2013)

Toward designing intelligent PDEs for computer vision: An optimal control approach. - Risheng Liu; Zhouchen Lin; Wei Zhang 010; Kewei Tang; Zhixun Su (Image Vis. Comput., 2013)

Kernel estimation from salient structure for robust motion deblurring. - Jin-shan Pan; Risheng Liu; Zhixun Su; Xianfeng Gu (Signal Process. Image Commun., 2013)

Low-Rank Structure Learning via Nonconvex Heuristic Recovery. - Yue Deng 001; Qionghai Dai; Risheng Liu; Zengke Zhang; Sanqing Hu (IEEE Trans. Neural Networks Learn. Syst., 2013)

Saliency Detection via Nonlocal L_0 Minimization. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (ACCV (2), 2014)

Adaptive Partial Differential Equation Learning for Visual Saliency Detection. - Risheng Liu; Junjie Cao 001; Zhouchen Lin; Shiguang Shan (CVPR, 2014)

Incremental robust local dictionary learning for visual tracking. - Shanshan Bai; Risheng Liu; Zhixun Su; Changcheng Zhang; Wei Jin 008 (ICME, 2014)

Robust visual tracking using latent subspace projection pursuit. - Wei Jin 008; Risheng Liu; Zhixun Su; Changcheng Zhang; Shanshan Bai (ICME, 2014)

Motion blur kernel estimation via salient edges and low rank prior. - Jin-shan Pan; Risheng Liu; Zhixun Su; Guili Liu (ICME, 2014)

Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking. - Risheng Liu; Wei Jin 008; Zhixun Su; Changcheng Zhang (IEEE Multim., 2014)

Linear time Principal Component Pursuit and its extensions using ℓ1 filtering. - Risheng Liu; Zhouchen Lin; Zhixun Su; Junbin Gao (Neurocomputing, 2014)

Robust visual tracking via incremental low-rank features learning. - Changcheng Zhang; Risheng Liu; Tianshuang Qiu; Zhixun Su (Neurocomputing, 2014)

Learning Markov random walks for robust subspace clustering and estimation. - Risheng Liu; Zhouchen Lin; Zhixun Su (Neural Networks, 2014)

Structure-Constrained Low-Rank Representation. - Kewei Tang; Risheng Liu; Zhixun Su; Jie Zhang 056 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis. - Binghui Wang; Risheng Liu; Chuang Lin 001; Xin Fan 001 (ICDM Workshops, 2015)

Correlated warped Gaussian processes for gender-specific age estimation. - Difei Gao; Lili Pan 001; Risheng Liu; Rui Chen; Mei Xie (ICIP, 2015)

Sparse concept discriminant matrix factorization for image representation. - Meng Pang; Chuang Lin 001; Risheng Liu; Xin Fan 001; Jifeng Jiang; Zhongxuan Luo (ICIP, 2015)

Visual tracking via orthogonal sparse coding. - Jing Wang; Yiyang Wang 001; Risheng Liu; Zhixun Su (ICIP, 2015)

Robust visual tracking via discriminative sequential ranking. - Guangyu Zhong; Risheng Liu; Zhixun Su (ICIP, 2015)

Characteristic number regression for facial feature extraction. - Yuntao Li; Xin Fan 001; Risheng Liu; Yuyao Feng; Zhongxuan Luo; Zezhou Li (ICME, 2015)

Properly constrained orthonormal functional maps for intrinsic symmetries. - Xiuping Liu; Shuhua Li; Risheng Liu; Jun Wang 039; Hui Wang 018; Junjie Cao 001 (Comput. Graph., 2015)

Low-rank 3D mesh segmentation and labeling with structure guiding. - Xiuping Liu; Jie Zhang 056; Risheng Liu; Bo Li 023; Jun Wang 039; Junjie Cao 001 (Comput. Graph., 2015)

Robust visual tracking via L0 regularized local low-rank feature learning. - Risheng Liu; Shanshan Bai; Zhixun Su; Changcheng Zhang; Chunhai Sun (J. Electronic Imaging, 2015)

Diffuse visual attention for saliency detection. - Risheng Liu; Guangyu Zhong; Junjie Cao 001; Zhixun Su (J. Electronic Imaging, 2015)

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning. - Zhouchen Lin; Risheng Liu; Huan Li 007 (Mach. Learn., 2015)

Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (AAAI, 2016)

Sparse Gradient Pursuit for Robust Visual Analysis. - Jiangxin Dong; Risheng Liu; Kewei Tang; Yiyang Wang 001; Xindong Zhang; Zhixun Su (ACCV (1), 2016)

Region-based CNN for Logo Detection. - Yu Bao; Haojie Li; Xin Fan 001; Risheng Liu; Qi Jia 001 (ICIMCS, 2016)

Sparse Coding and Counting for Robust Visual Tracking. - Risheng Liu; Jing Wang; Yiyang Wang 001; Zhixun Su; Yu Cai 004 (CoRR, 2016)

Subspace segmentation by dense block and sparse representation. - Kewei Tang; David B. Dunson; Zhixun Su; Risheng Liu; Jie Zhang 056; Jiangxin Dong (Neural Networks, 2016)

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. - Risheng Liu; Guangyu Zhong; Junjie Cao 001; Zhouchen Lin; Shiguang Shan; Zhongxuan Luo (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A generalized nonlocal mean framework with object-level cues for saliency detection. - Guangyu Zhong; Risheng Liu; Junjie Cao 001; Zhixun Su (Vis. Comput., 2016)

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. - Meng Pang; Yiu-ming Cheung; Binghui Wang; Risheng Liu (CIKM, 2017)

The Visual Object Tracking VOT2017 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ICCV Workshops, 2017)

Blind Image Deblurring Using Adaptive Priors. - Bingwang Zhang; Risheng Liu; Haojie Li; Qi Yuan; Xin Fan 001; Zhongxuan Luo (ICIMCS, 2017)

Learning Multi-Scale Shrinkage Fields for Blind Image Deblurring. - Bingwang Zhang; Risheng Liu; Haojie Li; Qi Yuan; Xin Fan 001; Zhongxuan Luo (ICIMCS, 2017)

Leveraging geometric correlation for input-adaptive facial landmark regression. - Yuyao Feng; Risheng Liu; Xin Fan 001; Kang Huyan; Zhongxuan Luo (ICME, 2017)

Blind image deblurring via adaptive dynamical system learning. - Risheng Liu; Shichao Cheng; Xin Fan 001; Zhongxuan Luo (ICME, 2017)

Deep hybrid residual learning with statistic priors for single image super-resolution. - Risheng Liu; Xiangyu Wang; Xin Fan 001; Haojie Li; Zhongxuan Luo (ICME, 2017)

Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems. - Yiyang Wang 001; Risheng Liu; Zhixun Su (IScIDE, 2017)

Deep Location-Specific Tracking. - Lingxiao Yang; Risheng Liu; David Zhang 001; Lei Zhang 006 (ACM Multimedia, 2017)

An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (CoRR, 2017)

Adaptive low-rank subspace learning with online optimization for robust visual tracking. - Risheng Liu; Di Wang 018; Yuzhuo Han; Xin Fan 001; Zhongxuan Luo (Neural Networks, 2017)

A nonlocal L0 model with regression predictor for saliency detection and extension. - Yiyang Wang 001; Risheng Liu; Xiaoliang Song; Zhixun Su (Vis. Comput., 2017)

Self-Reinforced Cascaded Regression for Face Alignment. - Xin Fan 001; Risheng Liu; Kang Huyan; Yuyao Feng; Zhongxuan Luo (AAAI, 2018)

Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. - Risheng Liu; Xin Fan 001; Shichao Cheng; Xiangyu Wang; Zhongxuan Luo (AAAI, 2018)

Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. - Nenggan Zheng; Jun Wen; Risheng Liu; Liangqu Long; Jianhua Dai; Zhefeng Gong (AAAI, 2018)

Single Image Dehazing via Adaptive Transmission Optimization with Deep Prior. - Shiqi Li; Risheng Liu; Xin Fan 001; Haojie Li (BigMM, 2018)

Adaptive Optimization with Nested Prior Navigation for Blind Image Deblurring. - Caisheng Mao; Risheng Liu; Haojie Li (BigMM, 2018)

Unrolled Optimization with Deep Priors for Intrinsic Image Decomposition. - Cheng Yang; Risheng Liu; Long Ma 002; Xin Fan 001; Haojie Li; Miao Zhang (BigMM, 2018)

Deep Layer Prior Optimization for Single Image Rain Streaks Removal. - Risheng Liu; Zhiying Jiang; Long Ma 002; Xin Fan 001; Haojie Li; Zhongxuan Luo (ICASSP, 2018)

Robust Haze Removal Via Joint Deep Transmission and Scene Propagation. - Risheng Liu; Shiqi Li; Long Ma 002; Xin Fan 001; Haojie Li; Zhongxuan Luo (ICASSP, 2018)

Plug-and-play correlation filters for visual tracking. - Qianru Chen; Risheng Liu; Xin Fan 001; Haojie Li (ICIMCS, 2018)

Prior-guided deep residual propagation for non-blind image deconvolution. - Long Ma 002; Zhiying Jiang; Risheng Liu; Xin Fan 001 (ICIMCS, 2018)

Joint Residual Learning for Underwater Image Enhancement. - Minjun Hou; Risheng Liu; Xin Fan 001; Zhongxuan Luo (ICIP, 2018)

Single Image Layer Separation via Deep Admm Unrolling. - Risheng Liu; Zhiying Jiang; Xin Fan 001; Haojie Li; Zhongxuan Luo (ICME, 2018)

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization. - Risheng Liu; Shichao Cheng; Yi He; Xin Fan 001; Zhongxuan Luo (IJCAI, 2018)

Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams. - Yi Wang 037; Nan Xue 004; Xin Fan 001; Jiebo Luo 001; Risheng Liu; Bin Chen; Haojie Li; Zhongxuan Luo (IJCAI, 2018)

Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond. - Risheng Liu; Yi He; Shichao Cheng; Xin Fan 001; Zhongxuan Luo (ACM Multimedia, 2018)

A Bridging Framework for Model Optimization and Deep Propagation. - Risheng Liu; Shichao Cheng; Xiaokun Liu; Long Ma 002; Xin Fan 001; Zhongxuan Luo (NeurIPS, 2018)

Designing a stable feedback control system for blind image deconvolution. - Shichao Cheng; Risheng Liu; Xin Fan 001; Zhongxuan Luo (Neural Networks, 2018)

Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering. - Bo Li 023; Risheng Liu; Junjie Cao 001; Jie Zhang 056; Yu-Kun Lai; Xiuping Liu (IEEE Trans. Image Process., 2018)

Explicit Shape Regression With Characteristic Number for Facial Landmark Localization. - Xin Fan 001; Risheng Liu; Zhongxuan Luo; Yuntao Li; Yuyao Feng (IEEE Trans. Multim., 2018)

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. - Risheng Liu; Yuxi Zhang 001; Shichao Cheng; Xin Fan 001; Zhongxuan Luo (AAAI, 2019)

Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. - Yiyang Wang 001; Risheng Liu; Long Ma 002; Xiaoliang Song (AAAI, 2019)

Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. - Pengfei Wang; Risheng Liu; Nenggan Zheng; Zhefeng Gong (AAAI, 2019)

Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. - Jun Wen; Risheng Liu; Nenggan Zheng; Qian Zheng; Zhefeng Gong; Junsong Yuan 001 (AAAI, 2019)

Semi-Supervised Skin Detection by Network With Mutual Guidance. - Yi He; Jiayuan Shi; Chuan Wang 001; Haibin Huang; Jiaming Liu; Guanbin Li; Risheng Liu; Jue Wang 001 (ICCV, 2019)

Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework. - Risheng Liu; Minjun Hou; Jinyuan Liu 001; Xin Fan 001; Zhongxuan Luo (ICME, 2019)

Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition. - Risheng Liu; Cheng Yang; Long Ma 002; Miao Zhang; Xin Fan 001; Zhongxuan Luo (ICME, 2019)

Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. - Nannan Li 002; Shengfa Wang; Risheng Liu; Ziqiao Guan; Zhixun Su; Zhongxuan Luo; Hong Qin 001 (Comput. Aided Geom. Des., 2019)

Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions. - Risheng Liu; Minjun Hou; Xin Fan 001; Zhongxuan Luo (CoRR, 2019)

Bilevel Integrative Optimization for Ill-posed Inverse Problems. - Risheng Liu; Long Ma 002; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2019)

On the Convergence of ADMM with Task Adaption and Beyond. - Risheng Liu; Pan Mu; Jin Zhang 002 (CoRR, 2019)

Converged Deep Framework Assembling Principled Modules for CS-MRI. - Risheng Liu; Yuxi Zhang 001; Shichao Cheng; Zhongxuan Luo; Xin Fan 001 (CoRR, 2019)

Blind Image Deblurring via Adaptive Optimization with Flexible Sparse Structure Control. - Risheng Liu; Caisheng Mao; Zhihui Wang 001; Haojie Li (J. Comput. Sci. Technol., 2019)

深度卷积先验引导的鲁棒图像层分离方法及其应用 (Deep Convolutional Prior Guided Robust Image Separation Method and Its Applications). - Zhiying Jiang; Risheng Liu (计算机科学, 2019)

Robust heterogeneous discriminative analysis for face recognition with single sample per person. - Meng Pang; Yiu-ming Cheung; Binghui Wang; Risheng Liu (Pattern Recognit., 2019)

Learning Bilevel Layer Priors for Single Image Rain Streaks Removal. - Pan Mu; Jian Chen; Risheng Liu; Xin Fan 001; Zhongxuan Luo (IEEE Signal Process. Lett., 2019)

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. - Meng Pang; Yiu-Ming Cheung; Risheng Liu; Jian Lou 001; Chuang Lin 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications. - Risheng Liu; Shichao Cheng; Long Ma 002; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2019)

Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement. - Risheng Liu; Long Ma 002; Yiyang Wang 001; Lei Zhang 006 (IEEE Trans. Image Process., 2019)

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. - Risheng Liu; Xin Fan 001; Minjun Hou; Zhiying Jiang; Zhongxuan Luo; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Wasserstein Loss based Deep Object Detection. - Yuzhuo Han; Xiaofeng Liu 001; Zhenfei Sheng; Yutao Ren; Xu Han; Jane You; Risheng Liu; Zhongxuan Luo (CVPR Workshops, 2020)

Image Restoration Via Data-Dependent Proximal Averaged Optimization. - Pan Mu; Jian Chen; Risheng Liu; Wei Zhong; Xin Fan 001; Zhongxuan Luo (ICASSP, 2020)

Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. - Xinwei Xue; Ying Ding 006; Pan Mu; Long Ma 002; Risheng Liu; Xin Fan 001 (ICASSP, 2020)

Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. - Jiaao Zhang; Risheng Liu; Long Ma 002; Wei Zhong; Xin Fan 001; Zhongxuan Luo (ICASSP, 2020)

Multi-Scale Features Joint Rain Removal For Single Image. - Xinwei Xue; Zhenhua Hao; Ying Ding 006; Qi Jia 001; Risheng Liu (ICIP, 2020)

Flexible Bilevel Image Layer Modeling For Robust Deraining. - Jian Chen; Pan Mu; Risheng Liu; Xin Fan 001; Zhongxuan Luo (ICME, 2020)

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2020)

A Real Time Multi-thread Underwater Images Enhancement System*. - Xiaofeng Liu 001; Risheng Liu; Ming Zhu 001; Wei Zhong; Xin Fan 001; Zhongxuan Luo; Wanhui Zhang (ICSSE, 2020)

Optimization Learning: Perspective, Method, and Applications. - Risheng Liu (IJCAI, 2020)

Bi-level Probabilistic Feature Learning for Deformable Image Registration. - Risheng Liu; Zi Li; Yuxi Zhang 001; Xin Fan 001; Zhongxuan Luo (IJCAI, 2020)

Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration. - Yuxi Zhang 001; Risheng Liu; Zi Li; Zhu Liu 004; Xin Fan 001; Zhongxuan Luo (ISBI, 2020)

Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement. - Long Ma 002; Jie Lin; Jingjie Shang; Wei Zhong; Xin Fan 001; Zhongxuan Luo; Risheng Liu (PRCV (1), 2020)

A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration. - Risheng Liu; Zi Li; Yuxi Zhang 001; Chenying Zhao; Hao Huang 016; Zhongxuan Luo; Xin Fan 001 (CoRR, 2020)

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. - Risheng Liu; Zhu Liu 004; Pan Mu; Zhouchen Lin; Xin Fan 001; Zhongxuan Luo (CoRR, 2020)

Blind image deblurring via hybrid deep priors modeling. - Shichao Cheng; Risheng Liu; Yi He; Xin Fan 001; Zhongxuan Luo (Neurocomputing, 2020)

On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems. - Risheng Liu; Shichao Cheng; Yi He; Xin Fan 001; Zhouchen Lin; Zhongxuan Luo (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement. - Long Ma 002; Dian Jin 003; Risheng Liu; Xin Fan 001; Zhongxuan Luo (IEEE Signal Process. Lett., 2020)

Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light. - Risheng Liu; Xin Fan 001; Ming Zhu 001; Minjun Hou; Zhongxuan Luo (IEEE Trans. Circuits Syst. Video Technol., 2020)

Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling. - Risheng Liu; Pan Mu; Jian Chen; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2020)

A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling. - Risheng Liu; Yuxi Zhang 001; Shichao Cheng; Zhongxuan Luo; Xin Fan 001 (IEEE Trans. Medical Imaging, 2020)

Knowledge-Driven Deep Unrolling for Robust Image Layer Separation. - Risheng Liu; Zhiying Jiang; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Neural Networks Learn. Syst., 2020)

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement. - Xinwei Xue; Zexuan Li; Long Ma 002; Risheng Liu; Xin Fan 001 (ACML, 2021)

Optimizing Loss Function for Uni-modal and Multi-modal Medical Registration. - Zi Li; Xin Fan 001; Risheng Liu; Zhongxuan Luo (CICAI, 2021)

Brightening the Low-Light Images via a Dual Guided Network. - Jianing Sun; Jiaao Zhang; Risheng Liu; Xin Fan 001 (CICAI, 2021)

Learning Multi-scale Underexposure Image Correction. - Wei Zhong; Xiaodong Zhang; Long Ma 002; Risheng Liu; Xin Fan 001; Zhongxuan Luo (CICAI, 2021)

Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement. - Risheng Liu; Long Ma 002; Jiaao Zhang; Xin Fan 001; Zhongxuan Luo (CVPR, 2021)

NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring. - Xiaokun Liu; Long Ma 002; Risheng Liu; Wei Zhong; Xin Fan 001; Zhongxuan Luo (ICASSP, 2021)

Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining. - Xinwei Xue; Ying Ding 006; Long Ma 002; Yi Wang 037; Risheng Liu; Xin Fan 001 (ICASSP, 2021)

GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining. - Xinwei Xue; Xiangyu Meng; Long Ma 002; Risheng Liu; Xin Fan 001 (ICASSP, 2021)

Video Deraining Via Temporal Aggregation-and-Guidance. - Long Ma 002; Risheng Liu; Xuefeng Zhang; Wei Zhong; Xin Fan 001 (ICME, 2021)

Multiple Task-Oriented Encoders for Unified Image Fusion. - Zhuoxiao Li; Jinyuan Liu 001; Risheng Liu; Xin Fan 001; Zhongxuan Luo; Wen Gao 001 (ICME, 2021)

Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining. - Xiaokun Liu; Risheng Liu; Long Ma 002; Xin Fan 001; Zhongxuan Luo (ICME, 2021)

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning. - Yaohua Liu; Risheng Liu (ICME Workshops, 2021)

Halder: Hierarchical Attention-Guided Learning with Detail-Refinement for Multi-Exposure Image Fusion. - Jinyuan Liu 001; Jingjie Shang; Risheng Liu; Xin Fan 001 (ICME, 2021)

Searching Frame-Recurrent Attentive Deformable Network for Real-Time Video Deraining. - Xinwei Xue; Xiangyu Meng; Long Ma 002; Yi Wang 037; Risheng Liu; Xin Fan 001 (ICME, 2021)

Hardware-Aware Low-Light Image Enhancement via One-Shot Neural Architecture Search with Shrinkage Sampling. - Yuansheng Yao; Risheng Liu; Jiaao Zhang; Wei Zhong; Xin Fan 001; Zhongxuan Luo (ICME, 2021)

Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining. - Wei Zhong; Xuefeng Zhang; Long Ma 002; Risheng Liu; Xin Fan 001; Zhongxuan Luo (ICME, 2021)

Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement. - Guijing Zhu; Long Ma 002; Risheng Liu; Xin Fan 001; Zhongxuan Luo (ICME, 2021)

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. - Risheng Liu; Xuan Liu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (ICML, 2021)

Underwater Species Detection using Channel Sharpening Attention. - Lihao Jiang; Yi Wang 037; Qi Jia 001; Shengwei Xu; Yu Liu 012; Xin Fan 001; Haojie Li; Risheng Liu; Xinwei Xue; Ruili Wang (ACM Multimedia, 2021)

Bridging the Gap between Low-Light Scenes: Bilevel Learning for Fast Adaptation. - Dian Jin 003; Long Ma 002; Risheng Liu; Xin Fan 001 (ACM Multimedia, 2021)

Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion. - Risheng Liu; Zhu Liu 004; Jinyuan Liu 001; Xin Fan 001 (ACM Multimedia, 2021)

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. - Risheng Liu; Yaohua Liu; Shangzhi Zeng; Jin Zhang 002 (NeurIPS, 2021)

Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining. - Zhu Liu 004; Long Ma 002; Risheng Liu; Xin Fan 001; Zhongxuan Luo; Yuduo Zhang (PRCV (3), 2021)

Semantic-Driven Context Aggregation Network for Underwater Image Enhancement. - Dongxiang Shi; Long Ma 002; Risheng Liu; Xin Fan 001; Zhongxuan Luo (PRCV (3), 2021)

Deep Multi-Illumination Fusion for Low-Light Image Enhancement. - Wei Zhong; Jie Lin; Long Ma 002; Risheng Liu; Xin Fan 001 (PRCV (3), 2021)

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2021)

A convergent framework with learnable feasibility for Hadamard-based image recovery. - Yiyang Wang 001; Long Ma 002; Risheng Liu (Comput. Vis. Image Underst., 2021)

Learning to Discover a Unified Architecture for Low-Level Vision. - Zhu Liu 004; Long Ma 002; Risheng Liu; Xin Fan 001 (IEEE Signal Process. Lett., 2021)

SMoA: Searching a Modality-Oriented Architecture for Infrared and Visible Image Fusion. - Jinyuan Liu 001; Yuhui Wu; Zhanbo Huang; Risheng Liu; Xin Fan 001 (IEEE Signal Process. Lett., 2021)

Joint Luminance and Chrominance Learning for Underwater Image Enhancement. - Xinwei Xue; Zhenhua Hao; Long Ma 002; Yi Wang 037; Risheng Liu (IEEE Signal Process. Lett., 2021)

Learning Hadamard-Product-Propagation for Image Dehazing and Beyond. - Risheng Liu; Shiqi Li; Jinyuan Liu 001; Long Ma 002; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Circuits Syst. Video Technol., 2021)

A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion. - Risheng Liu; Jinyuan Liu 001; Zhiying Jiang; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2021)

Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. - Risheng Liu; Pan Mu; Jin Zhang 002 (IEEE Trans. Image Process., 2021)

Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face Reconstruction. - Xin Fan 001; Shichao Cheng; Kang Huyan; Minjun Hou; Risheng Liu; Zhongxuan Luo (IEEE Trans. Multim., 2021)

Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking. - Risheng Liu; Qianru Chen; Yuansheng Yao; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Neural Networks Learn. Syst., 2021)

Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. - Qi Jia 001; Shuilian Yao; Yu Liu 012; Xin Fan 001; Risheng Liu; Zhongxuan Luo (CVPR, 2022)

Toward Fast, Flexible, and Robust Low-Light Image Enhancement. - Long Ma 002; Tengyu Ma 004; Risheng Liu; Xin Fan 001; Zhongxuan Luo (CVPR, 2022)

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection. - Jinyuan Liu 001; Xin Fan 001; Zhanbo Huang; Guanyao Wu; Risheng Liu; Wei Zhong; Zhongxuan Luo (CVPR, 2022)

Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition. - Yang Yang; Chaoyue Wang; Risheng Liu; Lin Zhang 014; Xiaojie Guo 001; Dacheng Tao (CVPR, 2022)

ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion. - Zhanbo Huang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu; Wei Zhong; Zhongxuan Luo (ECCV (18), 2022)

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. - Risheng Liu; Xuan Liu; Shangzhi Zeng; Jin Zhang 002; Yixuan Zhang 002 (ICML, 2022)

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement. - Di Wang 018; Long Ma 002; Risheng Liu; Xin Fan 001 (ICRA, 2022)

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration. - Di Wang 018; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (IJCAI, 2022)

Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration. - Guijing Zhu; Long Ma 002; Xin Fan 001; Risheng Liu (IJCAI, 2022)

Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation. - Ziyang Li; Zi Li; Risheng Liu; Zhongxuan Luo; Xin Fan 001 (ISBI, 2022)

PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light. - Tengyu Ma 004; Long Ma 002; Xin Fan 001; Zhongxuan Luo; Risheng Liu (ACM Multimedia, 2022)

Towards All Weather and Unobstructed Multi-Spectral Image Stitching: Algorithm and Benchmark. - Zhiying Jiang; Zengxi Zhang; Xin Fan 001; Risheng Liu (ACM Multimedia, 2022)

Best of Both Worlds: See and Understand Clearly in the Dark. - Xinwei Xue; Jia He; Long Ma 002; Yi Wang 037; Xin Fan 001; Risheng Liu (ACM Multimedia, 2022)

Video Deraining via Temporal Discrepancy Learning. - Yirui Fan; Long Ma 002; Risheng Liu (PRCV (4), 2022)

Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions. - Zi Li; Ziyang Li; Risheng Liu; Zhongxuan Luo; Xin Fan 001 (CoRR, 2022)

Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. - Risheng Liu; Xuan Liu; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (CoRR, 2022)

Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application. - Risheng Liu; Jiaxin Gao; Xuan Liu; Xin Fan 001 (CoRR, 2022)

Practical Exposure Correction: Great Truths Are Always Simple. - Long Ma 002; Tianjiao Ma; Xinwei Xue; Xin Fan 001; Zhongxuan Luo; Risheng Liu (CoRR, 2022)

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. - Risheng Liu; Jiaxin Gao; Jin Zhang 002; Deyu Meng; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond. - Risheng Liu; Zi Li; Xin Fan 001; Chenying Zhao; Hao Huang 016; Zhongxuan Luo (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hierarchical domain adaptation with local feature patterns. - Jun Wen; Junsong Yuan 001; Qian Zheng; Risheng Liu; Zhefeng Gong; Nenggan Zheng (Pattern Recognit., 2022)

Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion. - Jinyuan Liu 001; Yuhui Wu; Guanyao Wu; Risheng Liu; Xin Fan 001 (IEEE Signal Process. Lett., 2022)

Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement. - Zhiying Jiang; Zhuoxiao Li; Shuzhou Yang; Xin Fan 001; Risheng Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion. - Jinyuan Liu 001; Xin Fan 001; Ji Jiang; Risheng Liu; Zhongxuan Luo (IEEE Trans. Circuits Syst. Video Technol., 2022)

Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion. - Jinyuan Liu 001; Jingjie Shang; Risheng Liu; Xin Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond. - Risheng Liu; Zhiying Jiang; Shuzhou Yang; Xin Fan 001 (IEEE Trans. Image Process., 2022)

Task-Oriented Convex Bilevel Optimization With Latent Feasibility. - Risheng Liu; Long Ma 002; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Image Process., 2022)

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. - Pan Mu; Zhu Liu 004; Yaohua Liu; Risheng Liu; Xin Fan 001 (IEEE Trans. Image Process., 2022)

Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. - Risheng Liu; Long Ma 002; Yuxi Zhang 001; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. - Long Ma 002; Risheng Liu; Jiaao Zhang; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Neural Networks Learn. Syst., 2022)

Global structure-guided learning framework for underwater image enhancement. - Runjia Lin; Jinyuan Liu 001; Risheng Liu; Xin Fan 001 (Vis. Comput., 2022)

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. - Jinyuan Liu 001; Zhu Liu 004; Guanyao Wu; Long Ma 002; Risheng Liu; Wei Zhong; Zhongxuan Luo; Xin Fan 001 (ICCV, 2023)

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. - Xiaofeng Liu 001; Jiaxin Gao; Yaohua Liu; Nenggan Zheng; Risheng Liu (ICIG (2), 2023)

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. - Risheng Liu; Yaohua Liu; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (ICML, 2023)

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. - Zhu Liu 004; Jinyuan Liu 001; Guanyao Wu; Long Ma 002; Xin Fan 001; Risheng Liu (IJCAI, 2023)

Multi-Spectral Image Stitching via Spatial Graph Reasoning. - Zhiying Jiang; Zengxi Zhang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. - Xianghao Jiao; Yaohua Liu; Jiaxin Gao; Xinyuan Chu; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. - Gehui Li; Jinyuan Liu 001; Long Ma 002; Zhiying Jiang; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

Bilevel Generative Learning for Low-Light Vision. - Yingchi Liu; Zhu Liu 004; Long Ma 002; Jinyuan Liu 001; Xin Fan 001; Zhongxuan Luo; Risheng Liu (ACM Multimedia, 2023)

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation. - Zhu Liu 004; Jinyuan Liu 001; Benzhuang Zhang; Long Ma 002; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. - Zengxi Zhang; Zhiying Jiang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (ACM Multimedia, 2023)

Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments. - Hao Fu 004; Long Ma 002; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (PRCV (10), 2023)

LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds. - Yanqi Ma; Ziyu Yue; Youwei Wang; Risheng Liu; Zhixun Su; Junjie Cao 001 (PSIVT, 2023)

Enhancing Visual Understanding by Removing Dithering with Global and Self-Conditioned Transformation. - Yifei Huang 006; Chenhui Li 001; Risheng Liu; Tianyi Liang 002; Changbo Wang (VINCI, 2023)

Modality-Invariant Representation for Infrared and Visible Image Registration. - Zhiying Jiang; Zengxi Zhang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (CoRR, 2023)

NFI2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement. - Xiaofeng Liu 001; Jiaxin Gao; Ziyu Yue; Xin Fan 001; Risheng Liu (CoRR, 2023)

MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes. - Xingyuan Li 005; Jinyuan Liu 001; Yixin Lei; Long Ma 002; Xin Fan 001; Risheng Liu (CoRR, 2023)

Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion. - Zhu Liu 004; Jinyuan Liu 001; Guanyao Wu; Xin Fan 001; Risheng Liu (CoRR, 2023)

Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining. - Zhiying Jiang; Risheng Liu; Shuzhou Yang; Zengxi Zhang; Xin Fan 001 (CoRR, 2023)

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. - Long Ma 002; Dian Jin 003; Nan An; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (CoRR, 2023)

Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios. - Chenping Fu; Wanqi Yuan; Jiewen Xiao; Risheng Liu; Xin Fan 001 (CoRR, 2023)

Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework. - Zhu Liu 004; Zihang Chen; Jinyuan Liu 001; Long Ma 002; Xin Fan 001; Risheng Liu (CoRR, 2023)

Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception. - Zengxi Zhang; Zhiying Jiang; Zeru Shi; Jinyuan Liu 001; Risheng Liu (CoRR, 2023)

AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training. - Xingyuan Li 005; Jinyuan Liu 001; Long Ma 002; Xin Fan 001; Risheng Liu (CoRR, 2023)

Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments. - Jiaxin Gao; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (CoRR, 2023)

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. - Yaohua Liu; Jiaxin Gao; Zhu Liu 004; Xianghao Jiao; Xin Fan 001; Risheng Liu (CoRR, 2023)

Rethinking general underwater object detection: Datasets, challenges, and solutions. - Chenping Fu; Risheng Liu; Xin Fan 001; Puyang Chen; Hao Fu 004; Wanqi Yuan; Ming Zhu 001; Zhongxuan Luo (Neurocomputing, 2023)

An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection. - Di Wang 018; Jinyuan Liu 001; Risheng Liu; Xin Fan 001 (Inf. Fusion, 2023)

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. - Risheng Liu; Pan Mu; Xiaoming Yuan 001; Shangzhi Zeng; Jin Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement. - Xinwei Xue; Zexuan Li; Long Ma 002; Qi Jia 001; Risheng Liu; Xin Fan 001 (Pattern Recognit., 2023)

Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion. - Yuhui Wu; Zhu Liu 004; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (IEEE Signal Process. Lett., 2023)

Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions. - Xin Fan 001; Zi Li; Ziyang Li; Xiaolin Wang; Risheng Liu; Zhongxuan Luo; Hao Huang 016 (IEEE Trans. Image Process., 2023)

Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision. - Risheng Liu; Zhu Liu 004; Pan Mu; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Image Process., 2023)

Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model. - Long Ma 002; Risheng Liu; Yiyang Wang 001; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Multim., 2023)

Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement. - Jiaxin Gao; Xiaokun Liu; Risheng Liu; Xin Fan 001 (Vis. Comput., 2023)

Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. - Risheng Liu; Long Ma 002; Tengyu Ma 004; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion. - Jinyuan Liu 001; Guanyao Wu; Junsheng Luan; Zhiying Jiang; Risheng Liu; Xin Fan 001 (Inf. Fusion, 2023)

A unified image fusion framework with flexible bilevel paradigm integration. - Jinyuan Liu 001; Zhiying Jiang; Guanyao Wu; Risheng Liu; Xin Fan 001 (Vis. Comput., 2023)

SMPR: Single-stage multi-person pose regression. - Huixin Miao; Junqi Lin; Junjie Cao 001; Xiaoguang He; Zhixun Su; Risheng Liu (Pattern Recognit., 2023)

Learning Heavily-Degraded Prior for Underwater Object Detection. - Chenping Fu; Xin Fan 001; Jiewen Xiao; Wanqi Yuan; Risheng Liu; Zhongxuan Luo (IEEE Trans. Circuits Syst. Video Technol., 2023)

Bilevel modeling investigated generative adversarial framework for image restoration. - Zhiying Jiang; Zengxi Zhang; Yiyao Yu; Risheng Liu (Vis. Comput., 2023)

SSoB: searching a scene-oriented architecture for underwater object detection. - Wanqi Yuan; Chenping Fu; Risheng Liu; Xin Fan 001 (Vis. Comput., 2023)

Hierarchical Optimization-Derived Learning. - Risheng Liu; Xuan Liu; Shangzhi Zeng; Jin Zhang 002; Yixuan Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Value-Function-Based Sequential Minimization for Bi-Level Optimization. - Risheng Liu; Xuan Liu; Shangzhi Zeng; Jin Zhang 002; Yixuan Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Publisher Correction: Bilevel modeling investigated generative adversarial framework for image restoration. - Zhiying Jiang; Zengxi Zhang; Yiyao Yu; Risheng Liu (Vis. Comput., 2023)

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. - Xiaohan Cui; Long Ma 002; Tengyu Ma 004; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (AAAI, 2024)

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks. - Zhiying Jiang; Xingyuan Li 005; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (AAAI, 2024)

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion. - Guanyao Wu; Hongming Fu; Jinyuan Liu 001; Long Ma 002; Xin Fan 001; Risheng Liu (AAAI, 2024)

Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation. - Xin Fan 001; Xiaolin Wang; Jiaxin Gao; Jia Wang; Zhongxuan Luo; Risheng Liu (CVPR, 2024)

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution. - Xingyuan Li 005; Jinyuan Liu 001; Zhixin Chen; Yang Zou 004; Long Ma 002; Xin Fan 001; Risheng Liu (ECCV (3), 2024)

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy. - Risheng Liu; Zhu Liu 004; Wei Yao 014; Shangzhi Zeng; Jin Zhang 002 (ICML, 2024)

Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications. - Jinyuan Liu 001; Guanyao Wu; Zhu Liu 004; Long Ma 002; Risheng Liu; Xin Fan 001 (IJCAI, 2024)

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. - Yaohua Liu; Jiaxin Gao; Xuan Liu; Xianghao Jiao; Xin Fan 001; Risheng Liu (IJCAI, 2024)

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion. - Xingyuan Li 005; Yang Zou 004; Jinyuan Liu 001; Zhiying Jiang; Long Ma 002; Xin Fan 001; Risheng Liu (CoRR, 2024)

Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery. - Sihan Xie; Peiming Li; Jiaxin Gao; Ziyu Yue; Xin Fan 001; Risheng Liu (Neurocomputing, 2024)

Learning With Constraint Learning: New Perspective, Solution Strategy and Various Applications. - Risheng Liu; Jiaxin Gao; Xuan Liu; Xin Fan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. - Jiaxin Gao; Yaohua Liu; Ziyu Yue; Xin Fan 001; Risheng Liu (Pattern Recognit., 2024)

Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement. - Xinwei Xue; Tianjiao Ma; Yidong Han; Long Ma 002; Risheng Liu (IEEE Signal Process. Lett., 2024)

Searching a Compact Architecture for Robust Multi-Exposure Image Fusion. - Zhu Liu 004; Jinyuan Liu 001; Guanyao Wu; Zihang Chen; Xin Fan 001; Risheng Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning to Search a Lightweight Generalized Network for Medical Image Fusion. - Pan Mu; Guanyao Wu; Jinyuan Liu 001; Yuduo Zhang; Xin Fan 001; Risheng Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration. - Zhiying Jiang; Shuzhou Yang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (IEEE Trans. Instrum. Meas., 2024)

Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression. - Zhiying Jiang; Zengxi Zhang; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (IEEE Trans. Image Process., 2024)

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion. - Jinyuan Liu 001; Runjia Lin; Guanyao Wu; Risheng Liu; Zhongxuan Luo; Xin Fan 001 (Int. J. Comput. Vis., 2024)

A Task-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion. - Risheng Liu; Zhu Liu 004; Jinyuan Liu 001; Xin Fan 001; Zhongxuan Luo (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Bridging the Gap Between Haze Scenarios: A Unified Image Dehazing Model. - Yuxin Feng; Zhuo Su 001; Long Ma 002; Xin Li; Risheng Liu; Fan Zhou 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Improving Misaligned Multi-Modality Image Fusion With One-Stage Progressive Dense Registration. - Di Wang 018; Jinyuan Liu 001; Long Ma 002; Risheng Liu; Xin Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Advancing Real-World Image Dehazing: Perspective, Modules, and Training. - Yuxin Feng; Long Ma 002; Xiaozhe Meng; Fan Zhou 001; Risheng Liu; Zhuo Su 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Cruxes to Push for Object Detection in Low-Quality Images. - Chenping Fu; Jiewen Xiao; Wanqi Yuan; Risheng Liu; Xin Fan 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond. - Tengyu Ma 004; Long Ma 002; Ziye Li; Yuetong Wang; Jinyuan Liu 001; Chengpei Xu; Risheng Liu (CVPR, 2025)

DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging. - Zhu Liu 004; Zijun Wang; Jinyuan Liu 001; Fanqi Meng; Long Ma 002; Risheng Liu (CVPR, 2025)

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion. - Jinyuan Liu 001; Bowei Zhang; Qingyun Mei; Xingyuan Li 005; Yang Zou 004; Zhiying Jiang; Long Ma 002; Risheng Liu; Xin Fan 001 (CVPR, 2025)

Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond. - Guanyao Wu; Haoyu Liu; Hongming Fu; Yichuan Peng; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (CVPR, 2025)

DRNet: Learning a dynamic recursion network for chaotic rain streak removal. - Zhiying Jiang; Risheng Liu; Shuzhou Yang; Zengxi Zhang; Xin Fan 001 (Pattern Recognit., 2025)

ASF-Net: Robust video deraining via temporal alignment and online adaptive learning. - Xinwei Xue; Jia He; Long Ma 002; Xiangyu Meng; Wenlin Li; Risheng Liu (Pattern Recognit., 2025)

Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption. - Jinyuan Liu 001; Guanyao Wu; Zhu Liu 004; Di Wang 018; Zhiying Jiang; Long Ma 002; Wei Zhong; Xin Fan 001; Risheng Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images. - Jiaxin Gao; Ziyu Yue; Yaohua Liu; Sihan Xie; Xin Fan 001; Risheng Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning. - Zengxi Zhang; Zhiying Jiang; Long Ma 002; Jinyuan Liu 001; Xin Fan 001; Risheng Liu (Int. J. Comput. Vis., 2025)

Striving for Faster and Better: A One-Layer Architecture With Auto Re-Parameterization for Low-Light Image Enhancement. - Nan An; Long Ma 002; Guangchao Han; Xin Fan 001; Risheng Liu (IEEE Trans. Circuits Syst. Video Technol., 2025)