Liu, Risheng

52 publications

NeurIPS 2025 Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond Risheng Liu, Zhu Liu, Weihao Mao, Wei Yao, Jin Zhang

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

CVPR 2025 DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging Zhu Liu, Zijun Wang, Jinyuan Liu, Fanqi Meng, Long Ma, Risheng Liu

NeurIPS 2025 Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark Jinyuan Liu, Zihang Chen, Zhu Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu

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

CVPR 2025 Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond Tengyu Ma, Long Ma, Ziye Li, Yuetong Wang, Jinyuan Liu, Chengpei Xu, Risheng Liu

IJCAI 2025 TextMEF: Text-Guided Prompt Learning for Multi-Exposure Image Fusion Jinyuan Liu, Qianjun Huang, Guanyao Wu, Di Wang, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan

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

CVPR 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

ECCV 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

AAAI 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

ICML 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

AAAI 2024 Towards Robust Image Stitching: An Adaptive Resistance Learning Against Compatible Attacks Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu

AAAI 2024 Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu

IJCAI 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

ICML 2023 Averaged Method of Multipliers for Bi-Level Optimization Without Lower-Level Strong Convexity Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

IJCAI 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

ICCV 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

IJCAI 2022 Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-Based Image Restoration Guijing Zhu, Long Ma, Xin Fan, Risheng Liu

ICML 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-Training Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

ECCV 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

CVPR 2022 Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo

CVPR 2022 Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao

CVPR 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

CVPR 2022 Toward Fast, Flexible, and Robust Low-Light Image Enhancement Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo

IJCAI 2022 Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu

ICML 2021 A Value-Function-Based Interior-Point Method for Non-Convex Bi-Level Optimization Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

ACML 2021 Physics-Inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan

CVPR 2021 Retinex-Inspired Unrolling with Cooperative Prior Architecture Search for Low-Light Image Enhancement Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo

NeurIPS 2021 Towards Gradient-Based Bilevel Optimization with Non-Convex Followers and Beyond Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

ICML 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

IJCAI 2020 Bi-Level Probabilistic Feature Learning for Deformable Image Registration Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo

IJCAI 2020 Optimization Learning: Perspective, Method, and Applications Risheng Liu

CVPRW 2020 Wasserstein Loss Based Deep Object Detection Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo

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

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

AAAI 2019 Exploiting Local Feature Patterns for Unsupervised Domain Adaptation Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan

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

NeurIPS 2018 A Bridging Framework for Model Optimization and Deep Propagation Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo

IJCAI 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

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

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

IJCAI 2018 Toward Designing Convergent Deep Operator Splitting Methods for Task-Specific Nonconvex Optimization Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo

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

ICCVW 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 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

AAAI 2016 Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su

MLJ 2015 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Zhouchen Lin, Risheng Liu, Huan Li

CVPR 2014 Adaptive Partial Differential Equation Learning for Visual Saliency Detection Risheng Liu, Junjie Cao, Zhouchen Lin, Shiguang Shan

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

CVPR 2012 Fixed-Rank Representation for Unsupervised Visual Learning Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su

NeurIPS 2011 Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation Zhouchen Lin, Risheng Liu, Zhixun Su

ECCV 2010 Learning PDEs for Image Restoration via Optimal Control Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su