Risheng Liu

According to our database, Risheng Liu authored at least 250 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption.

Jinyuan Liu, Guanyao Wu, Zhu Liu, Di Wang, Zhiying Jiang, Long Ma, Wei Zhong, Xin Fan, Risheng Liu

CoRR, January, 2025

ASF-Net: Robust video deraining via temporal alignment and online adaptive learning.

Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu

Pattern Recognit., 2025

DRNet: Learning a dynamic recursion network for chaotic rain streak removal.

Zhiying Jiang, Risheng Liu, Shuzhou Yang, Zengxi Zhang, Xin Fan

Pattern Recognit., 2025

2024

Learning Cruxes to Push for Object Detection in Low-Quality Images.

Chenping Fu, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Xin Fan

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Advancing Real-World Image Dehazing: Perspective, Modules, and Training.

Yuxin Feng, Long Ma, Xiaozhe Meng, Fan Zhou, Risheng Liu, Zhuo Su

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Improving Misaligned Multi-Modality Image Fusion With One-Stage Progressive Dense Registration.

Di Wang, Jinyuan Liu, Long Ma, Risheng Liu, Xin Fan

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Bridging the Gap Between Haze Scenarios: A Unified Image Dehazing Model.

Yuxin Feng, Zhuo Su, Long Ma, Xin Li, Risheng Liu, Fan Zhou

IEEE Trans. Circuits Syst. Video Technol., November, 2024

A Task-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion.

Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion.

Jinyuan Liu, Runjia Lin, Guanyao Wu, Risheng Liu, Zhongxuan Luo, Xin Fan

Int. J. Comput. Vis., May, 2024

Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression.

Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu

IEEE Trans. Image Process., 2024

Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration.

Zhiying Jiang, Shuzhou Yang, Jinyuan Liu, Xin Fan, Risheng Liu

IEEE Trans. Instrum. Meas., 2024

Learning to Search a Lightweight Generalized Network for Medical Image Fusion.

Pan Mu, Guanyao Wu, Jinyuan Liu, Yuduo Zhang, Xin Fan, Risheng Liu

IEEE Trans. Circuits Syst. Video Technol., 2024

Searching a Compact Architecture for Robust Multi-Exposure Image Fusion.

Zhu Liu, Jinyuan Liu, Guanyao Wu, Zihang Chen, Xin Fan, Risheng Liu

IEEE Trans. Circuits Syst. Video Technol., 2024

Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement.

Xinwei Xue, Tianjiao Ma, Yidong Han, Long Ma, Risheng Liu

IEEE Signal Process. Lett., 2024

Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning.

Jiaxin Gao, Yaohua Liu, Ziyu Yue, Xin Fan, Risheng Liu

Pattern Recognit., 2024

Learning With Constraint Learning: New Perspective, Solution Strategy and Various Applications.

Risheng Liu, Jiaxin Gao, Xuan Liu, Xin Fan

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery.

Sihan Xie, Peiming Li, Jiaxin Gao, Ziyu Yue, Xin Fan, Risheng Liu

Neurocomputing, 2024

HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning.

Zengxi Zhang, Zhiying Jiang, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu

CoRR, 2024

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion.

Xingyuan Li, Yang Zou, Jinyuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu

CoRR, 2024

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation.

Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications.

Jinyuan Liu, Guanyao Wu, Zhu Liu, Long Ma, Risheng Liu, Xin Fan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy.

Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution.

Xingyuan Li, Jinyuan Liu, Zhixin Chen, Yang Zou, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation.

Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion.

Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks.

Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation.

Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Publisher Correction: Bilevel modeling investigated generative adversarial framework for image restoration.

Zhiying Jiang, Zengxi Zhang, Yiyao Yu, Risheng Liu

Vis. Comput., December, 2023

Value-Function-Based Sequential Minimization for Bi-Level Optimization.

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Hierarchical Optimization-Derived Learning.

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

SSoB: searching a scene-oriented architecture for underwater object detection.

Wanqi Yuan, Chenping Fu, Risheng Liu, Xin Fan

Vis. Comput., November, 2023

Bilevel modeling investigated generative adversarial framework for image restoration.

Zhiying Jiang, Zengxi Zhang, Yiyao Yu, Risheng Liu

Vis. Comput., November, 2023

Learning Heavily-Degraded Prior for Underwater Object Detection.

Chenping Fu, Xin Fan, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Zhongxuan Luo

IEEE Trans. Circuits Syst. Video Technol., November, 2023

SMPR: Single-stage multi-person pose regression.

Huixin Miao, Junqi Lin, Junjie Cao, Xiaoguang He, Zhixun Su, Risheng Liu

Pattern Recognit., November, 2023

A unified image fusion framework with flexible bilevel paradigm integration.

Jinyuan Liu, Zhiying Jiang, Guanyao Wu, Risheng Liu, Xin Fan

Vis. Comput., October, 2023

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion.

Jinyuan Liu, Guanyao Wu, Junsheng Luan, Zhiying Jiang, Risheng Liu, Xin Fan

Inf. Fusion, July, 2023

Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision.

Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement.

Jiaxin Gao, Xiaokun Liu, Risheng Liu, Xin Fan

Vis. Comput., April, 2023

Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model.

Long Ma, Risheng Liu, Yiyang Wang, Xin Fan, Zhongxuan Luo

IEEE Trans. Multim., 2023

Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision.

Risheng Liu, Zhu Liu, Pan Mu, Xin Fan, Zhongxuan Luo

IEEE Trans. Image Process., 2023

Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions.

Xin Fan, Zi Li, Ziyang Li, Xiaolin Wang, Risheng Liu, Zhongxuan Luo, Hao Huang

IEEE Trans. Image Process., 2023

Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion.

Yuhui Wu, Zhu Liu, Jinyuan Liu, Xin Fan, Risheng Liu

IEEE Signal Process. Lett., 2023

Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement.

Xinwei Xue, Zexuan Li, Long Ma, Qi Jia, Risheng Liu, Xin Fan

Pattern Recognit., 2023

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization.

Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection.

Di Wang, Jinyuan Liu, Risheng Liu, Xin Fan

Inf. Fusion, 2023

Rethinking general underwater object detection: Datasets, challenges, and solutions.

Chenping Fu, Risheng Liu, Xin Fan, Puyang Chen, Hao Fu, Wanqi Yuan, Ming Zhu, Zhongxuan Luo

Neurocomputing, 2023

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness.

Yaohua Liu, Jiaxin Gao, Zhu Liu, Xianghao Jiao, Xin Fan, 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, Risheng Liu

CoRR, 2023

AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training.

Xingyuan Li, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu

CoRR, 2023

Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception.

Zengxi Zhang, Zhiying Jiang, Zeru Shi, Jinyuan Liu, Risheng Liu

CoRR, 2023

Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework.

Zhu Liu, Zihang Chen, Jinyuan Liu, Long Ma, Xin Fan, 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

CoRR, 2023

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement.

Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, 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

CoRR, 2023

Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion.

Zhu Liu, Jinyuan Liu, Guanyao Wu, Xin Fan, Risheng Liu

CoRR, 2023

MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes.

Xingyuan Li, Jinyuan Liu, Yixin Lei, Long Ma, Xin Fan, Risheng Liu

CoRR, 2023

NFI₂: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement.

Xiaofeng Liu, Jiaxin Gao, Ziyu Yue, Xin Fan, Risheng Liu

CoRR, 2023

Modality-Invariant Representation for Infrared and Visible Image Registration.

Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu

CoRR, 2023

Enhancing Visual Understanding by Removing Dithering with Global and Self-Conditioned Transformation.

Yifei Huang, Chenhui Li, Risheng Liu, Tianyi Liang, Changbo Wang

Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, 2023

LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds.

Yanqi Ma, Ziyu Yue, Youwei Wang, Risheng Liu, Zhixun Su, Junjie Cao

Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023

Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.

Hao Fu, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond.

Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation.

Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bilevel Generative Learning for Low-Light Vision.

Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction.

Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation.

Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Spectral Image Stitching via Spatial Graph Reasoning.

Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond.

Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity.

Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Proceedings of the International Conference on Machine Learning, 2023

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.

Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation.

Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Global structure-guided learning framework for underwater image enhancement.

Runjia Lin, Jinyuan Liu, Risheng Liu, Xin Fan

Vis. Comput., 2022

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement.

Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo

IEEE Trans. Neural Networks Learn. Syst., 2022

Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation.

Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo

IEEE Trans. Neural Networks Learn. Syst., 2022

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining.

Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan

IEEE Trans. Image Process., 2022

Task-Oriented Convex Bilevel Optimization With Latent Feasibility.

Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

IEEE Trans. Image Process., 2022

Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond.

Risheng Liu, Zhiying Jiang, Shuzhou Yang, Xin Fan

IEEE Trans. Image Process., 2022

Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion.

Jinyuan Liu, Jingjie Shang, Risheng Liu, Xin Fan

IEEE Trans. Circuits Syst. Video Technol., 2022

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion.

Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, Zhongxuan Luo

IEEE Trans. Circuits Syst. Video Technol., 2022

Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement.

Zhiying Jiang, Zhuoxiao Li, Shuzhou Yang, Xin Fan, Risheng Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion.

Jinyuan Liu, Yuhui Wu, Guanyao Wu, Risheng Liu, Xin Fan

IEEE Signal Process. Lett., 2022

Hierarchical domain adaptation with local feature patterns.

Jun Wen, Junsong Yuan, Qian Zheng, Risheng Liu, Zhefeng Gong, Nenggan Zheng

Pattern Recognit., 2022

Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond.

Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.

Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Practical Exposure Correction: Great Truths Are Always Simple.

Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, Risheng Liu

CoRR, 2022

Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application.

Risheng Liu, Jiaxin Gao, Xuan Liu, Xin Fan

CoRR, 2022

Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees.

Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

CoRR, 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

CoRR, 2022

Video Deraining via Temporal Discrepancy Learning.

Yirui Fan, Long Ma, Risheng Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Best of Both Worlds: See and Understand Clearly in the Dark.

Xinwei Xue, Jia He, Long Ma, Yi Wang, Xin Fan, Risheng Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards All Weather and Unobstructed Multi-Spectral Image Stitching: Algorithm and Benchmark.

Zhiying Jiang, Zengxi Zhang, Xin Fan, Risheng Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light.

Tengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation.

Ziyang Li, Zi Li, Risheng Liu, Zhongxuan Luo, Xin Fan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration.

Guijing Zhu, Long Ma, Xin Fan, Risheng Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration.

Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement.

Di Wang, Long Ma, Risheng Liu, Xin Fan

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training.

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

Proceedings of the International Conference on Machine Learning, 2022

ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion.

Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo

Proceedings of the Computer Vision - ECCV 2022, 2022

Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition.

Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Toward Fast, Flexible, and Robust Low-Light Image Enhancement.

Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way.

Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking.

Risheng Liu, Qianru Chen, Yuansheng Yao, Xin Fan, Zhongxuan Luo

IEEE Trans. Neural Networks Learn. Syst., 2021

Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face Reconstruction.

Xin Fan, Shichao Cheng, Kang Huyan, Minjun Hou, Risheng Liu, Zhongxuan Luo

IEEE Trans. Multim., 2021

Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM.

Risheng Liu, Pan Mu, Jin Zhang

IEEE Trans. Image Process., 2021

A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion.

Risheng Liu, Jinyuan Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo

IEEE Trans. Image Process., 2021

Learning Hadamard-Product-Propagation for Image Dehazing and Beyond.

Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo

IEEE Trans. Circuits Syst. Video Technol., 2021

Joint Luminance and Chrominance Learning for Underwater Image Enhancement.

Xinwei Xue, Zhenhua Hao, Long Ma, Yi Wang, Risheng Liu

IEEE Signal Process. Lett., 2021

SMoA: Searching a Modality-Oriented Architecture for Infrared and Visible Image Fusion.

Jinyuan Liu, Yuhui Wu, Zhanbo Huang, Risheng Liu, Xin Fan

IEEE Signal Process. Lett., 2021

Learning to Discover a Unified Architecture for Low-Level Vision.

Zhu Liu, Long Ma, Risheng Liu, Xin Fan

IEEE Signal Process. Lett., 2021

A convergent framework with learnable feasibility for Hadamard-based image recovery.

Yiyang Wang, Long Ma, Risheng Liu

Comput. Vis. Image Underst., 2021

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization.

Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

CoRR, 2021

Deep Multi-Illumination Fusion for Low-Light Image Enhancement.

Wei Zhong, Jie Lin, Long Ma, Risheng Liu, Xin Fan

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Semantic-Driven Context Aggregation Network for Underwater Image Enhancement.

Dongxiang Shi, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining.

Zhu Liu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo, Yuduo Zhang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond.

Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion.

Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Bridging the Gap between Low-Light Scenes: Bilevel Learning for Fast Adaptation.

Dian Jin, Long Ma, Risheng Liu, Xin Fan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Underwater Species Detection using Channel Sharpening Attention.

Lihao Jiang, Yi Wang, Qi Jia, Shengwei Xu, Yu Liu, Xin Fan, Haojie Li, Risheng Liu, Xinwei Xue, Ruili Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization.

Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement.

Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining.

Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 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, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Searching Frame-Recurrent Attentive Deformable Network for Real-Time Video Deraining.

Xinwei Xue, Xiangyu Meng, Long Ma, Yi Wang, Risheng Liu, Xin Fan

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Halder: Hierarchical Attention-Guided Learning with Detail-Refinement for Multi-Exposure Image Fusion.

Jinyuan Liu, Jingjie Shang, Risheng Liu, Xin Fan

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning.

Yaohua Liu, Risheng Liu

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining.

Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multiple Task-Oriented Encoders for Unified Image Fusion.

Zhuoxiao Li, Jinyuan Liu, Risheng Liu, Xin Fan, Zhongxuan Luo, Wen Gao

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Video Deraining Via Temporal Aggregation-and-Guidance.

Long Ma, Risheng Liu, Xuefeng Zhang, Wei Zhong, Xin Fan

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining.

Xinwei Xue, Xiangyu Meng, Long Ma, Risheng Liu, Xin Fan

Proceedings of the IEEE International Conference on Acoustics, 2021

Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining.

Xinwei Xue, Ying Ding, Long Ma, Yi Wang, Risheng Liu, Xin Fan

Proceedings of the IEEE International Conference on Acoustics, 2021

NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring.

Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE International Conference on Acoustics, 2021

Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement.

Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Multi-scale Underexposure Image Correction.

Wei Zhong, Xiaodong Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Brightening the Low-Light Images via a Dual Guided Network.

Jianing Sun, Jiaao Zhang, Risheng Liu, Xin Fan

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Optimizing Loss Function for Uni-modal and Multi-modal Medical Registration.

Zi Li, Xin Fan, Risheng Liu, Zhongxuan Luo

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement.

Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Knowledge-Driven Deep Unrolling for Robust Image Layer Separation.

Risheng Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo

IEEE Trans. Neural Networks Learn. Syst., 2020

A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling.

Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan

IEEE Trans. Medical Imaging, 2020

Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling.

Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo

IEEE Trans. Image Process., 2020

Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light.

Risheng Liu, Xin Fan, Ming Zhu, Minjun Hou, Zhongxuan Luo

IEEE Trans. Circuits Syst. Video Technol., 2020

Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement.

Long Ma, Dian Jin, Risheng Liu, Xin Fan, Zhongxuan Luo

IEEE Signal Process. Lett., 2020

On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems.

Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Blind image deblurring via hybrid deep priors modeling.

Shichao Cheng, Risheng Liu, Yi He, Xin Fan, Zhongxuan Luo

Neurocomputing, 2020

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision.

Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo

CoRR, 2020

A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration.

Risheng Liu, Zi Li, Yuxi Zhang, Chenying Zhao, Hao Huang, Zhongxuan Luo, Xin Fan

CoRR, 2020

Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement.

Long Ma, Jie Lin, Jingjie Shang, Wei Zhong, Xin Fan, Zhongxuan Luo, Risheng Liu

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration.

Yuxi Zhang, Risheng Liu, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Bi-level Probabilistic Feature Learning for Deformable Image Registration.

Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Optimization Learning: Perspective, Method, and Applications.

Risheng Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Real Time Multi-thread Underwater Images Enhancement System^*.

Xiaofeng Liu, Risheng Liu, Ming Zhu, Wei Zhong, Xin Fan, Zhongxuan Luo, Wanhui Zhang

Proceedings of the International Conference on System Science and Engineering, 2020

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton.

Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Proceedings of the 37th International Conference on Machine Learning, 2020

Flexible Bilevel Image Layer Modeling For Robust Deraining.

Jian Chen, Pan Mu, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Multi-Scale Features Joint Rain Removal For Single Image.

Xinwei Xue, Zhenhua Hao, Ying Ding, Qi Jia, Risheng Liu

Proceedings of the IEEE International Conference on Image Processing, 2020

Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement.

Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Deep Unrolling With Flow Priors For Robust Video Deraining.

Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Image Restoration Via Data-Dependent Proximal Averaged Optimization.

Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Wasserstein Loss based Deep Object Detection.

Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond.

Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement.

Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang

IEEE Trans. Image Process., 2019

Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications.

Risheng Liu, Shichao Cheng, Long Ma, Xin Fan, Zhongxuan Luo

IEEE Trans. Image Process., 2019

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization.

Meng Pang, Yiu-Ming Cheung, Risheng Liu, Jian Lou, Chuang Lin

IEEE Trans. Circuits Syst. Video Technol., 2019

Learning Bilevel Layer Priors for Single Image Rain Streaks Removal.

Pan Mu, Jian Chen, Risheng Liu, Xin Fan, Zhongxuan Luo

IEEE Signal Process. Lett., 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

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

Blind Image Deblurring via Adaptive Optimization with Flexible Sparse Structure Control.

Risheng Liu, Caisheng Mao, Zhihui Wang, Haojie Li

J. Comput. Sci. Technol., 2019

Converged Deep Framework Assembling Principled Modules for CS-MRI.

Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan

CoRR, 2019

On the Convergence of ADMM with Task Adaption and Beyond.

Risheng Liu, Pan Mu, Jin Zhang

CoRR, 2019

Bilevel Integrative Optimization for Ill-posed Inverse Problems.

Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

CoRR, 2019

Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions.

Risheng Liu, Minjun Hou, Xin Fan, Zhongxuan Luo

CoRR, 2019

Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes.

Nannan Li, Shengfa Wang, Risheng Liu, Ziqiao Guan, Zhixun Su, Zhongxuan Luo, Hong Qin

Comput. Aided Geom. Des., 2019

Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition.

Risheng Liu, Cheng Yang, Long Ma, Miao Zhang, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework.

Risheng Liu, Minjun Hou, Jinyuan Liu, Xin Fan, Zhongxuan Luo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Semi-Supervised Skin Detection by Network With Mutual Guidance.

Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Exploiting Local Feature Patterns for Unsupervised Domain Adaptation.

Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems.

Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization.

Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI.

Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Explicit Shape Regression With Characteristic Number for Facial Landmark Localization.

Xin Fan, Risheng Liu, Zhongxuan Luo, Yuntao Li, Yuyao Feng

IEEE Trans. Multim., 2018

Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering.

Bo Li, Risheng Liu, Junjie Cao, Jie Zhang, Yu-Kun Lai, Xiuping Liu

IEEE Trans. Image Process., 2018

Designing a stable feedback control system for blind image deconvolution.

Shichao Cheng, Risheng Liu, Xin Fan, Zhongxuan Luo

Neural Networks, 2018

A Bridging Framework for Model Optimization and Deep Propagation.

Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond.

Risheng Liu, Yi He, Shichao Cheng, Xin Fan, Zhongxuan Luo

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams.

Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization.

Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Single Image Layer Separation via Deep Admm Unrolling.

Risheng Liu, Zhiying Jiang, Xin Fan, Haojie Li, Zhongxuan Luo

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Joint Residual Learning for Underwater Image Enhancement.

Minjun Hou, Risheng Liu, Xin Fan, Zhongxuan Luo

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Prior-guided deep residual propagation for non-blind image deconvolution.

Long Ma, Zhiying Jiang, Risheng Liu, Xin Fan

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

Plug-and-play correlation filters for visual tracking.

Qianru Chen, Risheng Liu, Xin Fan, Haojie Li

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

Robust Haze Removal Via Joint Deep Transmission and Scene Propagation.

Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Layer Prior Optimization for Single Image Rain Streaks Removal.

Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Unrolled Optimization with Deep Priors for Intrinsic Image Decomposition.

Cheng Yang, Risheng Liu, Long Ma, Xin Fan, Haojie Li, Miao Zhang

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Adaptive Optimization with Nested Prior Navigation for Blind Image Deblurring.

Caisheng Mao, Risheng Liu, Haojie Li

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Single Image Dehazing via Adaptive Transmission Optimization with Deep Prior.

Shiqi Li, Risheng Liu, Xin Fan, Haojie Li

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework.

Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Self-Reinforced Cascaded Regression for Face Alignment.

Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A nonlocal L₀ model with regression predictor for saliency detection and extension.

Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su

Vis. Comput., 2017

Adaptive low-rank subspace learning with online optimization for robust visual tracking.

Risheng Liu, Di Wang, Yuzhuo Han, Xin Fan, Zhongxuan Luo

Neural Networks, 2017

An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond.

Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su

CoRR, 2017

Deep Location-Specific Tracking.

Lingxiao Yang, Risheng Liu, David Zhang, Lei Zhang

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems.

Yiyang Wang, Risheng Liu, Zhixun Su

Proceedings of the Intelligence Science and Big Data Engineering, 2017

Deep hybrid residual learning with statistic priors for single image super-resolution.

Risheng Liu, Xiangyu Wang, Xin Fan, Haojie Li, Zhongxuan Luo

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Blind image deblurring via adaptive dynamical system learning.

Risheng Liu, Shichao Cheng, Xin Fan, Zhongxuan Luo

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Leveraging geometric correlation for input-adaptive facial landmark regression.

Yuyao Feng, Risheng Liu, Xin Fan, Kang Huyan, Zhongxuan Luo

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Learning Multi-Scale Shrinkage Fields for Blind Image Deblurring.

Bingwang Zhang, Risheng Liu, Haojie Li, Qi Yuan, Xin Fan, Zhongxuan Luo

Proceedings of the Internet Multimedia Computing and Service, 2017

Blind Image Deblurring Using Adaptive Priors.

Bingwang Zhang, Risheng Liu, Haojie Li, Qi Yuan, Xin Fan, Zhongxuan Luo

Proceedings of the Internet Multimedia Computing and Service, 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, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition.

Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

A generalized nonlocal mean framework with object-level cues for saliency detection.

Guangyu Zhong, Risheng Liu, Junjie Cao, Zhixun Su

Vis. Comput., 2016

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.

Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Subspace segmentation by dense block and sparse representation.

Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong

Neural Networks, 2016

Sparse Coding and Counting for Robust Visual Tracking.

Risheng Liu, Jing Wang, Yiyang Wang, Zhixun Su, Yu Cai

CoRR, 2016

Region-based CNN for Logo Detection.

Yu Bao, Haojie Li, Xin Fan, Risheng Liu, Qi Jia

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Sparse Gradient Pursuit for Robust Visual Analysis.

Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su

Proceedings of the Computer Vision - ACCV 2016, 2016

Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization.

Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning.

Zhouchen Lin, Risheng Liu, Huan Li

Mach. Learn., 2015

Diffuse visual attention for saliency detection.

Risheng Liu, Guangyu Zhong, Junjie Cao, Zhixun Su

J. Electronic Imaging, 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

Low-rank 3D mesh segmentation and labeling with structure guiding.

Xiuping Liu, Jie Zhang, Risheng Liu, Bo Li, Jun Wang, Junjie Cao

Comput. Graph., 2015

Properly constrained orthonormal functional maps for intrinsic symmetries.

Xiuping Liu, Shuhua Li, Risheng Liu, Jun Wang, Hui Wang, Junjie Cao

Comput. Graph., 2015

Characteristic number regression for facial feature extraction.

Yuntao Li, Xin Fan, Risheng Liu, Yuyao Feng, Zhongxuan Luo, Zezhou Li

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Robust visual tracking via discriminative sequential ranking.

Guangyu Zhong, Risheng Liu, Zhixun Su

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Visual tracking via orthogonal sparse coding.

Jing Wang, Yiyang Wang, Risheng Liu, Zhixun Su

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Sparse concept discriminant matrix factorization for image representation.

Meng Pang, Chuang Lin, Risheng Liu, Xin Fan, Jifeng Jiang, Zhongxuan Luo

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Correlated warped Gaussian processes for gender-specific age estimation.

Difei Gao, Lili Pan, Risheng Liu, Rui Chen, Mei Xie

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis.

Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Structure-Constrained Low-Rank Representation.

Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang

IEEE Trans. Neural Networks Learn. Syst., 2014

Learning Markov random walks for robust subspace clustering and estimation.

Risheng Liu, Zhouchen Lin, Zhixun Su

Neural Networks, 2014

Robust visual tracking via incremental low-rank features learning.

Changcheng Zhang, Risheng Liu, Tianshuang Qiu, Zhixun Su

Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ₁ filtering.

Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao

Neurocomputing, 2014

Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking.

Risheng Liu, Wei Jin, Zhixun Su, Changcheng Zhang

IEEE Multim., 2014

Motion blur kernel estimation via salient edges and low rank prior.

Jin-shan Pan, Risheng Liu, Zhixun Su, Guili Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Robust visual tracking using latent subspace projection pursuit.

Wei Jin, Risheng Liu, Zhixun Su, Changcheng Zhang, Shanshan Bai

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Incremental robust local dictionary learning for visual tracking.

Shanshan Bai, Risheng Liu, Zhixun Su, Changcheng Zhang, Wei Jin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Adaptive Partial Differential Equation Learning for Visual Saliency Detection.

Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Saliency Detection via Nonlocal L_0 Minimization.

Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Low-Rank Structure Learning via Nonconvex Heuristic Recovery.

Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang, Sanqing Hu

IEEE Trans. Neural Networks Learn. Syst., 2013

Kernel estimation from salient structure for robust motion deblurring.

Jin-shan Pan, Risheng Liu, Zhixun Su, Xianfeng Gu

Signal Process. Image Commun., 2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.

Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su

Image Vis. Comput., 2013

Saliency detection based on an edge-preserving filter.

Jin-shan Pan, Zhixun Su, Maoran Bian, Risheng Liu

Proceedings of the IEEE International Conference on Image Processing, 2013

Mixture of related regressions for head pose estimation.

Lili Pan, Risheng Liu, Mei Xie

Proceedings of the IEEE International Conference on Image Processing, 2013

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning.

Risheng Liu, Zhouchen Lin, Zhixun Su

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Fixed-rank representation for unsupervised visual learning.

Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering

Risheng Liu, Zhouchen Lin, Siming Wei, Zhixun Su

CoRR, 2011

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation.

Zhouchen Lin, Risheng Liu, Zhixun Su

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Robust head pose estimation via Convex Regularized Sparse Regression.

Hao Ji, Risheng Liu, Fei Su, Zhixun Su, Yan Tian

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Feature extraction by learning Lorentzian metric tensor and its extensions.

Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang

Pattern Recognit., 2010

Learning PDEs for Image Restoration via Optimal Control.

Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su

Proceedings of the Computer Vision, 2010

2009

Lorentzian Discriminant Projection and Its Applications.

Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou

Proceedings of the Computer Vision, 2009