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2020 – today
- 2025
- [j90]Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu:
ASF-Net: Robust video deraining via temporal alignment and online adaptive learning. Pattern Recognit. 158: 110973 (2025) - [j89]Zhiying Jiang, Risheng Liu, Shuzhou Yang, Zengxi Zhang, Xin Fan:
DRNet: Learning a dynamic recursion network for chaotic rain streak removal. Pattern Recognit. 158: 111004 (2025) - 2024
- [j88]Jinyuan Liu, Runjia Lin, Guanyao Wu, Risheng Liu, Zhongxuan Luo, Xin Fan:
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion. Int. J. Comput. Vis. 132(5): 1748-1775 (2024) - [j87]Sihan Xie, Peiming Li, Jiaxin Gao, Ziyu Yue, Xin Fan, Risheng Liu:
Breaking the water dilemma: Transmission-guided bilevel adaptive learning for underwater imagery. Neurocomputing 596: 127909 (2024) - [j86]Risheng Liu, Jiaxin Gao, Xuan Liu, Xin Fan:
Learning With Constraint Learning: New Perspective, Solution Strategy and Various Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5026-5043 (2024) - [j85]Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan, Zhongxuan Luo:
A Task-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6594-6609 (2024) - [j84]Yuxin Feng, Long Ma, Xiaozhe Meng, Fan Zhou, Risheng Liu, Zhuo Su:
Advancing Real-World Image Dehazing: Perspective, Modules, and Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9303-9320 (2024) - [j83]Jiaxin Gao, Yaohua Liu, Ziyu Yue, Xin Fan, Risheng Liu:
Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning. Pattern Recognit. 154: 110558 (2024) - [j82]Xinwei Xue, Tianjiao Ma, Yidong Han, Long Ma, Risheng Liu:
Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement. IEEE Signal Process. Lett. 31: 6-10 (2024) - [j81]Zhiying Jiang, Shuzhou Yang, Jinyuan Liu, Xin Fan, Risheng Liu:
Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j80]Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu:
Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression. IEEE Trans. Image Process. 33: 4288-4302 (2024) - [c127]Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. AAAI 2024: 1417-1425 - [c126]Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu:
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks. AAAI 2024: 2589-2597 - [c125]Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion. AAAI 2024: 5985-5993 - [c124]Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu:
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation. CVPR 2024: 11726-11735 - [c123]Xingyuan Li, Jinyuan Liu, Zhixin Chen, Yang Zou, Long Ma, Xin Fan, Risheng Liu:
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution. ECCV (3) 2024: 270-288 - [c122]Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy. ICML 2024 - [c121]Jinyuan Liu, Guanyao Wu, Zhu Liu, Long Ma, Risheng Liu, Xin Fan:
Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications. IJCAI 2024: 1110-1118 - [c120]Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. IJCAI 2024: 1137-1145 - [i83]Xingyuan Li, Yang Zou, Jinyuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu:
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion. CoRR abs/2401.00421 (2024) - [i82]Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu:
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks. CoRR abs/2402.15959 (2024) - [i81]Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy. CoRR abs/2405.09927 (2024) - [i80]Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. CoRR abs/2406.02064 (2024) - 2023
- [j79]Chenping Fu, Risheng Liu, Xin Fan, Puyang Chen, Hao Fu, Wanqi Yuan, Ming Zhu, Zhongxuan Luo:
Rethinking general underwater object detection: Datasets, challenges, and solutions. Neurocomputing 517: 243-256 (2023) - [j78]Jinyuan Liu, Guanyao Wu, Junsheng Luan, Zhiying Jiang, Risheng Liu, Xin Fan:
HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion. Inf. Fusion 95: 237-249 (2023) - [j77]Di Wang, Jinyuan Liu, Risheng Liu, Xin Fan:
An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection. Inf. Fusion 98: 101828 (2023) - [j76]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 38-57 (2023) - [j75]Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5953-5969 (2023) - [j74]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Hierarchical Optimization-Derived Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14693-14708 (2023) - [j73]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Value-Function-Based Sequential Minimization for Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15930-15948 (2023) - [j72]Xinwei Xue, Zexuan Li, Long Ma, Qi Jia, Risheng Liu, Xin Fan:
Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement. Pattern Recognit. 133: 109041 (2023) - [j71]Huixin Miao, Junqi Lin, Junjie Cao, Xiaoguang He, Zhixun Su, Risheng Liu:
SMPR: Single-stage multi-person pose regression. Pattern Recognit. 143: 109743 (2023) - [j70]Yuhui Wu, Zhu Liu, Jinyuan Liu, Xin Fan, Risheng Liu:
Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion. IEEE Signal Process. Lett. 30: 418-422 (2023) - [j69]Chenping Fu, Xin Fan, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Zhongxuan Luo:
Learning Heavily-Degraded Prior for Underwater Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6887-6896 (2023) - [j68]Xin Fan, Zi Li, Ziyang Li, Xiaolin Wang, Risheng Liu, Zhongxuan Luo, Hao Huang:
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions. IEEE Trans. Image Process. 32: 4880-4892 (2023) - [j67]Risheng Liu, Zhu Liu, Pan Mu, Xin Fan, Zhongxuan Luo:
Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision. IEEE Trans. Image Process. 32: 6075-6089 (2023) - [j66]Long Ma, Risheng Liu, Yiyang Wang, Xin Fan, Zhongxuan Luo:
Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model. IEEE Trans. Multim. 25: 3573-3586 (2023) - [j65]Jiaxin Gao, Xiaokun Liu, Risheng Liu, Xin Fan:
Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement. Vis. Comput. 39(4): 1471-1484 (2023) - [j64]Jinyuan Liu, Zhiying Jiang, Guanyao Wu, Risheng Liu, Xin Fan:
A unified image fusion framework with flexible bilevel paradigm integration. Vis. Comput. 39(10): 4869-4886 (2023) - [j63]Wanqi Yuan, Chenping Fu, Risheng Liu, Xin Fan:
SSoB: searching a scene-oriented architecture for underwater object detection. Vis. Comput. 39(11): 5199-5208 (2023) - [j62]Zhiying Jiang, Zengxi Zhang, Yiyao Yu, Risheng Liu:
Bilevel modeling investigated generative adversarial framework for image restoration. Vis. Comput. 39(11): 5563-5575 (2023) - [j61]Zhiying Jiang, Zengxi Zhang, Yiyao Yu, Risheng Liu:
Publisher Correction: Bilevel modeling investigated generative adversarial framework for image restoration. Vis. Comput. 39(12): 6767-6769 (2023) - [c119]Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan:
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. ICCV 2023: 8081-8090 - [c118]Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu:
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. ICIG (2) 2023: 136-148 - [c117]Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. ICML 2023: 21839-21866 - [c116]Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu:
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. IJCAI 2023: 1240-1248 - [c115]Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu:
Multi-Spectral Image Stitching via Spatial Graph Reasoning. ACM Multimedia 2023: 472-480 - [c114]Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu:
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation. ACM Multimedia 2023: 3706-3714 - [c113]Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu:
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. ACM Multimedia 2023: 7304-7313 - [c112]Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu:
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. ACM Multimedia 2023: 7314-7323 - [c111]Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu:
Bilevel Generative Learning for Low-Light Vision. ACM Multimedia 2023: 7758-7766 - [c110]Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Xin Fan, Risheng Liu:
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. ACM Multimedia 2023: 8185-8194 - [c109]Hao Fu, Long Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments. PRCV (10) 2023: 420-431 - [c108]Yanqi Ma, Ziyu Yue, Youwei Wang, Risheng Liu, Zhixun Su, Junjie Cao:
LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds. PSIVT 2023: 287-301 - [c107]Yifei Huang, Chenhui Li, Risheng Liu, Tianyi Liang, Changbo Wang:
Enhancing Visual Understanding by Removing Dithering with Global and Self-Conditioned Transformation. VINCI 2023: 27:1-27:8 - [e5]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14355, Springer 2023, ISBN 978-3-031-46304-4 [contents] - [e4]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14356, Springer 2023, ISBN 978-3-031-46307-5 [contents] - [e3]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14357, Springer 2023, ISBN 978-3-031-46310-5 [contents] - [e2]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14358, Springer 2023, ISBN 978-3-031-46313-6 [contents] - [e1]Huchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu:
Image and Graphics - 12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14359, Springer 2023, ISBN 978-3-031-46316-7 [contents] - [i79]Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR abs/2302.03407 (2023) - [i78]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Hierarchical Optimization-Derived Learning. CoRR abs/2302.05587 (2023) - [i77]Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu:
Modality-Invariant Representation for Infrared and Visible Image Registration. CoRR abs/2304.05646 (2023) - [i76]Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, Risheng Liu:
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. CoRR abs/2305.06720 (2023) - [i75]Di Wang, Jinyuan Liu, Risheng Liu, Xin Fan:
An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection. CoRR abs/2305.09999 (2023) - [i74]Xiaofeng Liu, Jiaxin Gao, Ziyu Yue, Xin Fan, Risheng Liu:
NFI2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement. CoRR abs/2305.10223 (2023) - [i73]Xingyuan Li, Jinyuan Liu, Yixin Lei, Long Ma, Xin Fan, Risheng Liu:
MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes. CoRR abs/2305.10974 (2023) - [i72]Zhu Liu, Jinyuan Liu, Guanyao Wu, Xin Fan, Risheng Liu:
Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion. CoRR abs/2305.12236 (2023) - [i71]Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Risheng Liu, Xin Fan:
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. CoRR abs/2305.15709 (2023) - [i70]Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan, Zhongxuan Luo:
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion. CoRR abs/2305.15862 (2023) - [i69]Zhiying Jiang, Risheng Liu, Shuzhou Yang, Zengxi Zhang, Xin Fan:
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining. CoRR abs/2305.18092 (2023) - [i68]Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Risheng Liu, Nenggan Zheng:
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. CoRR abs/2305.18310 (2023) - [i67]Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, Risheng Liu:
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. CoRR abs/2306.01343 (2023) - [i66]Chenping Fu, Wanqi Yuan, Jiewen Xiao, Risheng Liu, Xin Fan:
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios. CoRR abs/2307.03536 (2023) - [i65]Risheng Liu, Jiaxin Gao, Xuan Liu, Xin Fan:
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications. CoRR abs/2307.15257 (2023) - [i64]Zhiying Jiang, Zengxi Zhang, Jinyuan Liu, Xin Fan, Risheng Liu:
Multi-Spectral Image Stitching via Spatial Graph Reasoning. CoRR abs/2307.16741 (2023) - [i63]Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu:
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. CoRR abs/2308.00931 (2023) - [i62]Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan:
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. CoRR abs/2308.02097 (2023) - [i61]Yingchi Liu, Zhu Liu, Long Ma, Jinyuan Liu, Xin Fan, Zhongxuan Luo, Risheng Liu:
Bilevel Generative Learning for Low-Light Vision. CoRR abs/2308.03381 (2023) - [i60]Zhu Liu, Jinyuan Liu, Benzhuang Zhang, Long Ma, Xin Fan, Risheng Liu:
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation. CoRR abs/2308.03979 (2023) - [i59]Di Wang, Jinyuan Liu, Long Ma, Risheng Liu, Xin Fan:
Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration. CoRR abs/2308.11165 (2023) - [i58]Chenping Fu, Xin Fan, Jiewen Xiao, Wanqi Yuan, Risheng Liu, Zhongxuan Luo:
Learning Heavily-Degraded Prior for Underwater Object Detection. CoRR abs/2308.12738 (2023) - [i57]Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu:
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. CoRR abs/2309.00872 (2023) - [i56]Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu:
ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning. CoRR abs/2309.00956 (2023) - [i55]Zhu Liu, Zihang Chen, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework. CoRR abs/2309.01099 (2023) - [i54]Zengxi Zhang, Zhiying Jiang, Zeru Shi, Jinyuan Liu, Risheng Liu:
Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception. CoRR abs/2309.01102 (2023) - [i53]Xingyuan Li, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training. CoRR abs/2309.01106 (2023) - [i52]Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion. CoRR abs/2309.01113 (2023) - [i51]Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. CoRR abs/2309.03548 (2023) - [i50]Jiaxin Gao, Ziyu Yue, Yaohua Liu, Sihan Xie, Xin Fan, Risheng Liu:
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments. CoRR abs/2309.05267 (2023) - [i49]Yaohua Liu, Jiaxin Gao, Zhu Liu, Xianghao Jiao, Xin Fan, Risheng Liu:
Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness. CoRR abs/2310.12713 (2023) - 2022
- [j60]Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, Zhongxuan Luo:
Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7688-7704 (2022) - [j59]Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin:
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10045-10067 (2022) - [j58]Jun Wen, Junsong Yuan, Qian Zheng, Risheng Liu, Zhefeng Gong, Nenggan Zheng:
Hierarchical domain adaptation with local feature patterns. Pattern Recognit. 124: 108445 (2022) - [j57]Jinyuan Liu, Yuhui Wu, Guanyao Wu, Risheng Liu, Xin Fan:
Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion. IEEE Signal Process. Lett. 29: 1614-1618 (2022) - [j56]Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, Zhongxuan Luo:
Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion. IEEE Trans. Circuits Syst. Video Technol. 32(1): 105-119 (2022) - [j55]Jinyuan Liu, Jingjie Shang, Risheng Liu, Xin Fan:
Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5026-5040 (2022) - [j54]Zhiying Jiang, Zhuoxiao Li, Shuzhou Yang, Xin Fan, Risheng Liu:
Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6584-6598 (2022) - [j53]Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. IEEE Trans. Image Process. 31: 239-250 (2022) - [j52]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31: 1190-1203 (2022) - [j51]Risheng Liu, Zhiying Jiang, Shuzhou Yang, Xin Fan:
Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond. IEEE Trans. Image Process. 31: 4922-4936 (2022) - [j50]Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3425-3436 (2022) - [j49]Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5666-5680 (2022) - [j48]Runjia Lin, Jinyuan Liu, Risheng Liu, Xin Fan:
Global structure-guided learning framework for underwater image enhancement. Vis. Comput. 38(12): 4419-4434 (2022) - [c106]Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao:
Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition. CVPR 2022: 2027-2036 - [c105]Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo:
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. CVPR 2022: 4703-4712 - [c104]Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CVPR 2022: 5627-5636 - [c103]Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo:
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection. CVPR 2022: 5792-5801 - [c102]Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo:
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion. ECCV (18) 2022: 539-555 - [c101]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. ICML 2022: 13825-13856 - [c100]Di Wang, Long Ma, Risheng Liu, Xin Fan:
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement. ICRA 2022: 4592-4598 - [c99]Guijing Zhu, Long Ma, Xin Fan, Risheng Liu:
Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration. IJCAI 2022: 1757-1764 - [c98]Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu:
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration. IJCAI 2022: 3508-3515 - [c97]Ziyang Li, Zi Li, Risheng Liu, Zhongxuan Luo, Xin Fan:
Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation. ISBI 2022: 1-5 - [c96]Tengyu Ma, Long Ma, Xin Fan, Zhongxuan Luo, Risheng Liu:
PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light. ACM Multimedia 2022: 2070-2078 - [c95]Xinwei Xue, Jia He, Long Ma, Yi Wang, Xin Fan, Risheng Liu:
Best of Both Worlds: See and Understand Clearly in the Dark. ACM Multimedia 2022: 2154-2162 - [c94]Zhiying Jiang, Zengxi Zhang, Xin Fan, Risheng Liu:
Towards All Weather and Unobstructed Multi-Spectral Image Stitching: Algorithm and Benchmark. ACM Multimedia 2022: 3783-3791 - [c93]Yirui Fan, Long Ma, Risheng Liu:
Video Deraining via Temporal Discrepancy Learning. PRCV (4) 2022: 3-14 - [i48]Zi Li, Ziyang Li, Risheng Liu, Zhongxuan Luo, Xin Fan:
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions. CoRR abs/2203.06810 (2022) - [i47]Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo:
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection. CoRR abs/2203.16220 (2022) - [i46]Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Toward Fast, Flexible, and Robust Low-Light Image Enhancement. CoRR abs/2204.10137 (2022) - [i45]Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. CoRR abs/2205.10054 (2022) - [i44]Risheng Liu, Jiaxin Gao, Xuan Liu, Xin Fan:
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application. CoRR abs/2205.10146 (2022) - [i43]Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu:
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration. CoRR abs/2205.11876 (2022) - [i42]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. CoRR abs/2206.07875 (2022) - [i41]Di Wang, Long Ma, Risheng Liu, Xin Fan:
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement. CoRR abs/2211.10608 (2022) - [i40]Jinyuan Liu, Runjia Lin, Guanyao Wu, Risheng Liu, Zhongxuan Luo, Xin Fan:
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion. CoRR abs/2211.10960 (2022) - [i39]Yuhui Wu, Zhu Liu, Jinyuan Liu, Xin Fan, Risheng Liu:
Breaking Free from Fusion Rule: A Fully Semantic-driven Infrared and Visible Image Fusion. CoRR abs/2211.12286 (2022) - [i38]Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, Risheng Liu:
Practical Exposure Correction: Great Truths Are Always Simple. CoRR abs/2212.14245 (2022) - 2021
- [j47]Yiyang Wang, Long Ma, Risheng Liu:
A convergent framework with learnable feasibility for Hadamard-based image recovery. Comput. Vis. Image Underst. 202: 103095 (2021) - [j46]Xinwei Xue, Zhenhua Hao, Long Ma, Yi Wang, Risheng Liu:
Joint Luminance and Chrominance Learning for Underwater Image Enhancement. IEEE Signal Process. Lett. 28: 818-822 (2021) - [j45]Zhu Liu, Long Ma, Risheng Liu, Xin Fan:
Learning to Discover a Unified Architecture for Low-Level Vision. IEEE Signal Process. Lett. 28: 1470-1474 (2021) - [j44]Jinyuan Liu, Yuhui Wu, Zhanbo Huang, Risheng Liu, Xin Fan:
SMoA: Searching a Modality-Oriented Architecture for Infrared and Visible Image Fusion. IEEE Signal Process. Lett. 28: 1818-1822 (2021) - [j43]Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo:
Learning Hadamard-Product-Propagation for Image Dehazing and Beyond. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1366-1379 (2021) - [j42]Risheng Liu, Jinyuan Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo:
A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion. IEEE Trans. Image Process. 30: 1261-1274 (2021) - [j41]Risheng Liu, Pan Mu, Jin Zhang:
Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. IEEE Trans. Image Process. 30: 8278-8292 (2021) - [j40]Xin Fan, Shichao Cheng, Kang Huyan, Minjun Hou, Risheng Liu, Zhongxuan Luo:
Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face Reconstruction. IEEE Trans. Multim. 23: 1252-1263 (2021) - [j39]Risheng Liu, Qianru Chen, Yuansheng Yao, Xin Fan, Zhongxuan Luo:
Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2430-2442 (2021) - [c92]Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan:
Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement. ACML 2021: 1224-1236 - [c91]Jianing Sun, Jiaao Zhang, Risheng Liu, Xin Fan:
Brightening the Low-Light Images via a Dual Guided Network. CICAI 2021: 240-251 - [c90]Wei Zhong, Xiaodong Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Learning Multi-scale Underexposure Image Correction. CICAI 2021: 252-263 - [c89]Zi Li, Xin Fan, Risheng Liu, Zhongxuan Luo:
Optimizing Loss Function for Uni-modal and Multi-modal Medical Registration. CICAI 2021: 264-275 - [c88]Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement. CVPR 2021: 10561-10570 - [c87]Xinwei Xue, Ying Ding, Long Ma, Yi Wang, Risheng Liu, Xin Fan:
Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining. ICASSP 2021: 2015-2019 - [c86]Xinwei Xue, Xiangyu Meng, Long Ma, Risheng Liu, Xin Fan:
GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining. ICASSP 2021: 2020-2024 - [c85]Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring. ICASSP 2021: 2065-2069 - [c84]Long Ma, Risheng Liu, Xuefeng Zhang, Wei Zhong, Xin Fan:
Video Deraining Via Temporal Aggregation-and-Guidance. ICME 2021: 1-6 - [c83]Zhuoxiao Li, Jinyuan Liu, Risheng Liu, Xin Fan, Zhongxuan Luo, Wen Gao:
Multiple Task-Oriented Encoders for Unified Image Fusion. ICME 2021: 1-6 - [c82]Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo:
Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining. ICME 2021: 1-6 - [c81]Yaohua Liu, Risheng Liu:
Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning. ICME Workshops 2021: 1-2 - [c80]Jinyuan Liu, Jingjie Shang, Risheng Liu, Xin Fan:
Halder: Hierarchical Attention-Guided Learning with Detail-Refinement for Multi-Exposure Image Fusion. ICME 2021: 1-6 - [c79]Xinwei Xue, Xiangyu Meng, Long Ma, Yi Wang, Risheng Liu, Xin Fan:
Searching Frame-Recurrent Attentive Deformable Network for Real-Time Video Deraining. ICME 2021: 1-6 - [c78]Yuansheng Yao, Risheng Liu, Jiaao Zhang, Wei Zhong, Xin Fan, Zhongxuan Luo:
Hardware-Aware Low-Light Image Enhancement via One-Shot Neural Architecture Search with Shrinkage Sampling. ICME 2021: 1-6 - [c77]Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining. ICME 2021: 1-6 - [c76]Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement. ICME 2021: 1-6 - [c75]Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. ICML 2021: 6882-6892 - [c74]Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan:
Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion. ACM Multimedia 2021: 1600-1608 - [c73]Dian Jin, Long Ma, Risheng Liu, Xin Fan:
Bridging the Gap between Low-Light Scenes: Bilevel Learning for Fast Adaptation. ACM Multimedia 2021: 2401-2409 - [c72]Lihao Jiang, Yi Wang, Qi Jia, Shengwei Xu, Yu Liu, Xin Fan, Haojie Li, Risheng Liu, Xinwei Xue, Ruili Wang:
Underwater Species Detection using Channel Sharpening Attention. ACM Multimedia 2021: 4259-4267 - [c71]Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS 2021: 8662-8675 - [c70]Zhu Liu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo, Yuduo Zhang:
Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining. PRCV (3) 2021: 16-28 - [c69]Dongxiang Shi, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo:
Semantic-Driven Context Aggregation Network for Underwater Image Enhancement. PRCV (3) 2021: 29-40 - [c68]Wei Zhong, Jie Lin, Long Ma, Risheng Liu, Xin Fan:
Deep Multi-Illumination Fusion for Low-Light Image Enhancement. PRCV (3) 2021: 140-150 - [i37]Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin:
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond. CoRR abs/2101.11517 (2021) - [i36]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR abs/2102.07976 (2021) - [i35]Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR abs/2106.07991 (2021) - [i34]Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. CoRR abs/2110.00455 (2021) - [i33]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Value-Function-based Sequential Minimization for Bi-level Optimization. CoRR abs/2110.04974 (2021) - [i32]Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining. CoRR abs/2111.04459 (2021) - [i31]Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. CoRR abs/2112.04719 (2021) - [i30]Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. CoRR abs/2112.05147 (2021) - 2020
- [j38]Shichao Cheng, Risheng Liu, Yi He, Xin Fan, Zhongxuan Luo:
Blind image deblurring via hybrid deep priors modeling. Neurocomputing 387: 334-345 (2020) - [j37]Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo:
On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3027-3039 (2020) - [j36]Long Ma, Dian Jin, Risheng Liu, Xin Fan, Zhongxuan Luo:
Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement. IEEE Signal Process. Lett. 27: 1210-1214 (2020) - [j35]Risheng Liu, Xin Fan, Ming Zhu, Minjun Hou, Zhongxuan Luo:
Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4861-4875 (2020) - [j34]Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo:
Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling. IEEE Trans. Image Process. 29: 7629-7640 (2020) - [j33]Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan:
A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling. IEEE Trans. Medical Imaging 39(12): 4150-4163 (2020) - [j32]Risheng Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo:
Knowledge-Driven Deep Unrolling for Robust Image Layer Separation. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1653-1666 (2020) - [c67]Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo:
Wasserstein Loss based Deep Object Detection. CVPR Workshops 2020: 4299-4305 - [c66]Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan:
Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. ICASSP 2020: 1813-1817 - [c65]Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
Image Restoration Via Data-Dependent Proximal Averaged Optimization. ICASSP 2020: 2088-2092 - [c64]Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo:
Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. ICASSP 2020: 2638-2642 - [c63]Xinwei Xue, Zhenhua Hao, Ying Ding, Qi Jia, Risheng Liu:
Multi-Scale Features Joint Rain Removal For Single Image. ICIP 2020: 933-937 - [c62]Jian Chen, Pan Mu, Risheng Liu, Xin Fan, Zhongxuan Luo:
Flexible Bilevel Image Layer Modeling For Robust Deraining. ICME 2020: 1-6 - [c61]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML 2020: 6305-6315 - [c60]Xiaofeng Liu, Risheng Liu, Ming Zhu, Wei Zhong, Xin Fan, Zhongxuan Luo, Wanhui Zhang:
A Real Time Multi-thread Underwater Images Enhancement System*. ICSSE 2020: 1-5 - [c59]Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Bi-level Probabilistic Feature Learning for Deformable Image Registration. IJCAI 2020: 723-730 - [c58]Risheng Liu:
Optimization Learning: Perspective, Method, and Applications. IJCAI 2020: 5164-5168 - [c57]Yuxi Zhang, Risheng Liu, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo:
Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration. ISBI 2020: 86-90 - [c56]Long Ma, Jie Lin, Jingjie Shang, Wei Zhong, Xin Fan, Zhongxuan Luo, Risheng Liu:
Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement. PRCV (1) 2020: 291-302 - [i29]Risheng Liu, Zi Li, Yuxi Zhang, Chenying Zhao, Hao Huang, Zhongxuan Luo, Xin Fan:
A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration. CoRR abs/2004.14557 (2020) - [i28]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR abs/2006.04045 (2020) - [i27]Yaohua Liu, Risheng Liu:
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning. CoRR abs/2009.13357 (2020) - [i26]Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo:
Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. CoRR abs/2012.05435 (2020) - [i25]Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement. CoRR abs/2012.05609 (2020)
2010 – 2019
- 2019
- [j31]Nannan Li, Shengfa Wang, Risheng Liu, Ziqiao Guan, Zhixun Su, Zhongxuan Luo, Hong Qin:
Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. Comput. Aided Geom. Des. 72: 111-125 (2019) - [j30]Risheng Liu, Caisheng Mao, Zhihui Wang, Haojie Li:
Blind Image Deblurring via Adaptive Optimization with Flexible Sparse Structure Control. J. Comput. Sci. Technol. 34(3): 609-621 (2019) - [j29]Zhiying Jiang, Risheng Liu:
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). 计算机科学 46(3): 119-124 (2019) - [j28]Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu:
Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognit. 89: 91-107 (2019) - [j27]Pan Mu, Jian Chen, Risheng Liu, Xin Fan, Zhongxuan Luo:
Learning Bilevel Layer Priors for Single Image Rain Streaks Removal. IEEE Signal Process. Lett. 26(2): 307-311 (2019) - [j26]Meng Pang, Yiu-Ming Cheung, Risheng Liu, Jian Lou, Chuang Lin:
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3184-3198 (2019) - [j25]Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang:
Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement. IEEE Trans. Image Process. 28(3): 1528-1543 (2019) - [j24]Risheng Liu, Shichao Cheng, Long Ma, Xin Fan, Zhongxuan Luo:
Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications. IEEE Trans. Image Process. 28(10): 5013-5026 (2019) - [j23]Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang:
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2973-2986 (2019) - [c55]Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong:
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. AAAI 2019: 1633-1640 - [c54]Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization. AAAI 2019: 1650-1657 - [c53]Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo:
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. AAAI 2019: 4368-4375 - [c52]Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan:
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. AAAI 2019: 5401-5408 - [c51]Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang:
Semi-Supervised Skin Detection by Network With Mutual Guidance. ICCV 2019: 2111-2120 - [c50]Risheng Liu, Minjun Hou, Jinyuan Liu, Xin Fan, Zhongxuan Luo:
Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework. ICME 2019: 538-543 - [c49]Risheng Liu, Cheng Yang, Long Ma, Miao Zhang, Xin Fan, Zhongxuan Luo:
Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition. ICME 2019: 1462-1467 - [i24]Risheng Liu, Minjun Hou, Xin Fan, Zhongxuan Luo:
Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions. CoRR abs/1901.05320 (2019) - [i23]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR abs/1907.03083 (2019) - [i22]Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. CoRR abs/1907.07408 (2019) - [i21]Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang:
Semi-supervised Skin Detection by Network with Mutual Guidance. CoRR abs/1908.01977 (2019) - [i20]Risheng Liu, Pan Mu, Jin Zhang:
On the Convergence of ADMM with Task Adaption and Beyond. CoRR abs/1909.10819 (2019) - [i19]Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo:
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling. CoRR abs/1910.08242 (2019) - [i18]Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan:
Converged Deep Framework Assembling Principled Modules for CS-MRI. CoRR abs/1910.13046 (2019) - 2018
- [j22]Shichao Cheng, Risheng Liu, Xin Fan, Zhongxuan Luo:
Designing a stable feedback control system for blind image deconvolution. Neural Networks 101: 101-112 (2018) - [j21]Bo Li, Risheng Liu, Junjie Cao, Jie Zhang, Yu-Kun Lai, Xiuping Liu:
Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering. IEEE Trans. Image Process. 27(1): 335-348 (2018) - [j20]Xin Fan, Risheng Liu, Zhongxuan Luo, Yuntao Li, Yuyao Feng:
Explicit Shape Regression With Characteristic Number for Facial Landmark Localization. IEEE Trans. Multim. 20(3): 567-579 (2018) - [c48]Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo:
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. AAAI 2018: 1371-1378 - [c47]Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai, Zhefeng Gong:
Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. AAAI 2018: 2644-2651 - [c46]Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo:
Self-Reinforced Cascaded Regression for Face Alignment. AAAI 2018: 6813-6820 - [c45]Shiqi Li, Risheng Liu, Xin Fan, Haojie Li:
Single Image Dehazing via Adaptive Transmission Optimization with Deep Prior. BigMM 2018: 1-5 - [c44]Caisheng Mao, Risheng Liu, Haojie Li:
Adaptive Optimization with Nested Prior Navigation for Blind Image Deblurring. BigMM 2018: 1-7 - [c43]Cheng Yang, Risheng Liu, Long Ma, Xin Fan, Haojie Li, Miao Zhang:
Unrolled Optimization with Deep Priors for Intrinsic Image Decomposition. BigMM 2018: 1-7 - [c42]Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo:
Robust Haze Removal Via Joint Deep Transmission and Scene Propagation. ICASSP 2018: 1373-1377 - [c41]Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo:
Deep Layer Prior Optimization for Single Image Rain Streaks Removal. ICASSP 2018: 1408-1412 - [c40]Qianru Chen, Risheng Liu, Xin Fan, Haojie Li:
Plug-and-play correlation filters for visual tracking. ICIMCS 2018: 19:1-19:5 - [c39]Long Ma, Zhiying Jiang, Risheng Liu, Xin Fan:
Prior-guided deep residual propagation for non-blind image deconvolution. ICIMCS 2018: 38:1-38:5 - [c38]Minjun Hou, Risheng Liu, Xin Fan, Zhongxuan Luo:
Joint Residual Learning for Underwater Image Enhancement. ICIP 2018: 4043-4047 - [c37]Risheng Liu, Zhiying Jiang, Xin Fan, Haojie Li, Zhongxuan Luo:
Single Image Layer Separation via Deep Admm Unrolling. ICME 2018: 1-6 - [c36]Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo:
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization. IJCAI 2018: 2468-2474 - [c35]Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo:
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams. IJCAI 2018: 2833-2839 - [c34]Risheng Liu, Yi He, Shichao Cheng, Xin Fan, Zhongxuan Luo:
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond. ACM Multimedia 2018: 1921-1929 - [c33]Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo:
A Bridging Framework for Model Optimization and Deep Propagation. NeurIPS 2018: 4323-4332 - [i17]Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo:
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization. CoRR abs/1804.10798 (2018) - [i16]Risheng Liu, Yi He, Shichao Cheng, Xin Fan, Zhongxuan Luo:
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond. CoRR abs/1807.11706 (2018) - [i15]Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo:
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems. CoRR abs/1808.05331 (2018) - [i14]Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang:
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement. CoRR abs/1810.04012 (2018) - [i13]Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song:
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization. CoRR abs/1811.01587 (2018) - [i12]Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo:
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. CoRR abs/1811.03782 (2018) - [i11]Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan:
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. CoRR abs/1811.05042 (2018) - 2017
- [j19]Risheng Liu, Di Wang, Yuzhuo Han, Xin Fan, Zhongxuan Luo:
Adaptive low-rank subspace learning with online optimization for robust visual tracking. Neural Networks 88: 90-104 (2017) - [j18]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
A nonlocal L0 model with regression predictor for saliency detection and extension. Vis. Comput. 33(11): 1467-1482 (2017) - [c32]Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu:
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. CIKM 2017: 2251-2254 - [c31]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:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [c30]Bingwang Zhang, Risheng Liu, Haojie Li, Qi Yuan, Xin Fan, Zhongxuan Luo:
Blind Image Deblurring Using Adaptive Priors. ICIMCS 2017: 13-22 - [c29]Bingwang Zhang, Risheng Liu, Haojie Li, Qi Yuan, Xin Fan, Zhongxuan Luo:
Learning Multi-Scale Shrinkage Fields for Blind Image Deblurring. ICIMCS 2017: 108-115 - [c28]Risheng Liu, Shichao Cheng, Xin Fan, Zhongxuan Luo:
Blind image deblurring via adaptive dynamical system learning. ICME 2017: 199-204 - [c27]Yuyao Feng, Risheng Liu, Xin Fan, Kang Huyan, Zhongxuan Luo:
Leveraging geometric correlation for input-adaptive facial landmark regression. ICME 2017: 385-390 - [c26]Risheng Liu, Xiangyu Wang, Xin Fan, Haojie Li, Zhongxuan Luo:
Deep hybrid residual learning with statistic priors for single image super-resolution. ICME 2017: 1111-1116 - [c25]Yiyang Wang, Risheng Liu, Zhixun Su:
Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems. IScIDE 2017: 11-27 - [c24]Lingxiao Yang, Risheng Liu, David Zhang, Lei Zhang:
Deep Location-Specific Tracking. ACM Multimedia 2017: 1309-1317 - [i10]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond. CoRR abs/1702.08627 (2017) - [i9]Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang:
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. CoRR abs/1711.06787 (2017) - [i8]Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo:
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework. CoRR abs/1711.07653 (2017) - [i7]Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo:
Self-Reinforced Cascaded Regression for Face Alignment. CoRR abs/1711.08624 (2017) - 2016
- [j17]Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong:
Subspace segmentation by dense block and sparse representation. Neural Networks 75: 66-76 (2016) - [j16]Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo:
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2457-2471 (2016) - [j15]Guangyu Zhong, Risheng Liu, Junjie Cao, Zhixun Su:
A generalized nonlocal mean framework with object-level cues for saliency detection. Vis. Comput. 32(5): 611-623 (2016) - [c23]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. AAAI 2016: 798-804 - [c22]Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su:
Sparse Gradient Pursuit for Robust Visual Analysis. ACCV (1) 2016: 369-384 - [c21]Yu Bao, Haojie Li, Xin Fan, Risheng Liu, Qi Jia:
Region-based CNN for Logo Detection. ICIMCS 2016: 319-322 - [i6]Risheng Liu, Jing Wang, Yiyang Wang, Zhixun Su, Yu Cai:
Sparse Coding and Counting for Robust Visual Tracking. CoRR abs/1605.08881 (2016) - 2015
- [j14]Xiuping Liu, Jie Zhang, Risheng Liu, Bo Li, Jun Wang, Junjie Cao:
Low-rank 3D mesh segmentation and labeling with structure guiding. Comput. Graph. 46: 99-109 (2015) - [j13]Xiuping Liu, Shuhua Li, Risheng Liu, Jun Wang, Hui Wang, Junjie Cao:
Properly constrained orthonormal functional maps for intrinsic symmetries. Comput. Graph. 46: 198-208 (2015) - [j12]Risheng Liu, Guangyu Zhong, Junjie Cao, Zhixun Su:
Diffuse visual attention for saliency detection. J. Electronic Imaging 24(1): 013023 (2015) - [j11]Risheng Liu, Shanshan Bai, Zhixun Su, Changcheng Zhang, Chunhai Sun:
Robust visual tracking via L0 regularized local low-rank feature learning. J. Electronic Imaging 24(3): 033012 (2015) - [j10]Zhouchen Lin, Risheng Liu, Huan Li:
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning. Mach. Learn. 99(2): 287-325 (2015) - [c20]Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan:
Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis. ICDM Workshops 2015: 1189-1195 - [c19]Difei Gao, Lili Pan, Risheng Liu, Rui Chen, Mei Xie:
Correlated warped Gaussian processes for gender-specific age estimation. ICIP 2015: 133-137 - [c18]Meng Pang, Chuang Lin, Risheng Liu, Xin Fan, Jifeng Jiang, Zhongxuan Luo:
Sparse concept discriminant matrix factorization for image representation. ICIP 2015: 1255-1259 - [c17]Guangyu Zhong, Risheng Liu, Zhixun Su:
Robust visual tracking via discriminative sequential ranking. ICIP 2015: 1354-1358 - [c16]Jing Wang, Yiyang Wang, Risheng Liu, Zhixun Su:
Visual tracking via orthogonal sparse coding. ICIP 2015: 3817-3821 - [c15]Guangyu Zhong, Risheng Liu, Zhixun Su:
Robust visual tracking via discriminative sequential ranking. ICIP 2015: 4942-4946 - [c14]Yuntao Li, Xin Fan, Risheng Liu, Yuyao Feng, Zhongxuan Luo, Zezhou Li:
Characteristic number regression for facial feature extraction. ICME 2015: 1-6 - 2014
- [j9]Risheng Liu, Wei Jin, Zhixun Su, Changcheng Zhang:
Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking. IEEE Multim. 21(4): 47-55 (2014) - [j8]Changcheng Zhang, Risheng Liu, Tianshuang Qiu, Zhixun Su:
Robust visual tracking via incremental low-rank features learning. Neurocomputing 131: 237-247 (2014) - [j7]Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao:
Linear time Principal Component Pursuit and its extensions using ℓ1 filtering. Neurocomputing 142: 529-541 (2014) - [j6]Risheng Liu, Zhouchen Lin, Zhixun Su:
Learning Markov random walks for robust subspace clustering and estimation. Neural Networks 59: 1-15 (2014) - [j5]Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang:
Structure-Constrained Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2167-2179 (2014) - [c13]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
Saliency Detection via Nonlocal L_0 Minimization. ACCV (2) 2014: 521-535 - [c12]Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan:
Adaptive Partial Differential Equation Learning for Visual Saliency Detection. CVPR 2014: 3866-3873 - [c11]Shanshan Bai, Risheng Liu, Zhixun Su, Changcheng Zhang, Wei Jin:
Incremental robust local dictionary learning for visual tracking. ICME 2014: 1-6 - [c10]Wei Jin, Risheng Liu, Zhixun Su, Changcheng Zhang, Shanshan Bai:
Robust visual tracking using latent subspace projection pursuit. ICME 2014: 1-6 - [c9]Jin-shan Pan, Risheng Liu, Zhixun Su, Guili Liu:
Motion blur kernel estimation via salient edges and low rank prior. ICME 2014: 1-6 - 2013
- [j4]Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su:
Toward designing intelligent PDEs for computer vision: An optimal control approach. Image Vis. Comput. 31(1): 43-56 (2013) - [j3]Jin-shan Pan, Risheng Liu, Zhixun Su, Xianfeng Gu:
Kernel estimation from salient structure for robust motion deblurring. Signal Process. Image Commun. 28(9): 1156-1170 (2013) - [j2]Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang, Sanqing Hu:
Low-Rank Structure Learning via Nonconvex Heuristic Recovery. IEEE Trans. Neural Networks Learn. Syst. 24(3): 383-396 (2013) - [c8]Risheng Liu, Zhouchen Lin, Zhixun Su:
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. ACML 2013: 116-132 - [c7]Jin-shan Pan, Zhixun Su, Maoran Bian, Risheng Liu:
Saliency detection based on an edge-preserving filter. ICIP 2013: 1757-1761 - [c6]Lili Pan, Risheng Liu, Mei Xie:
Mixture of related regressions for head pose estimation. ICIP 2013: 3647-3651 - [i5]Risheng Liu, Zhouchen Lin, Zhixun Su:
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. CoRR abs/1310.5035 (2013) - 2012
- [c5]Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su:
Fixed-rank representation for unsupervised visual learning. CVPR 2012: 598-605 - [i4]Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su:
Fixed-Rank Representation for Unsupervised Visual Learning. CoRR abs/1203.2210 (2012) - [i3]Jin-shan Pan, Risheng Liu, Zhixun Su, Xianfeng Gu:
Kernel Estimation from Salient Structure for Robust Motion Deblurring. CoRR abs/1212.1073 (2012) - 2011
- [c4]Hao Ji, Risheng Liu, Fei Su, Zhixun Su, Yan Tian:
Robust head pose estimation via Convex Regularized Sparse Regression. ICIP 2011: 3617-3620 - [c3]Zhouchen Lin, Risheng Liu, Zhixun Su:
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. NIPS 2011: 612-620 - [i2]Risheng Liu, Zhouchen Lin, Siming Wei, Zhixun Su:
Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering. CoRR abs/1108.5359 (2011) - [i1]Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su:
Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach. CoRR abs/1109.1057 (2011) - 2010
- [j1]Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang:
Feature extraction by learning Lorentzian metric tensor and its extensions. Pattern Recognit. 43(10): 3298-3306 (2010) - [c2]Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su:
Learning PDEs for Image Restoration via Optimal Control. ECCV (1) 2010: 115-128
2000 – 2009
- 2009
- [c1]Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou:
Lorentzian Discriminant Projection and Its Applications. ACCV (3) 2009: 311-320
Coauthor Index
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