Risheng Liu

43 papers · 2011–2026 · 8 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🏃 Academic Marathon (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (14) 🌟 Keyword Trendsetter Combo (3) 🤝 Dynamic Duo (25) 🏆 Keyword Champion (2) 🔬 Deep Specialist (16) 🧬 Topic Evolution 🚀 Conference Pioneer 🗃️ Keyword Collector (181) 💎 Century Club (42) 🔥 Unstoppable (8) ⚡ Prolific Year (5) 📈 Trend Setter

Conferences

CVPR (11) IJCAI (10) AAAI (8) ICML (5) NIPS (3) ACML (2) ECCV (2) ICCV (2)

Top co-authors

Xin Fan (25) Long Ma (16) Jinyuan Liu (16) Zhongxuan Luo (12) Guanyao Wu (7) Zhu Liu (6) Shangzhi Zeng (6) Jin Zhang (6) Shichao Cheng (3) Zhouchen Lin (3)

Keywords

image restoration (9) image fusion (6) convergence analysis (6) bi-level optimization (5) bilevel optimization (4) non-convex optimization (4) infrared imaging (4) alternating direction method (3) semantic segmentation (3) neural architecture search (3) image registration (3) inverse problem (2) gradient descent (2) adversarial attack (2) adversarial learning (2) convolutional neural network (2) multi-modal learning (2) neural network optimization (2) nonconvex optimization (2) object detection (2)

Papers

A Hybrid Space Model for Misaligned Multi-modality Image Fusion AAAI 2026 DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion CVPR 2025 Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond CVPR 2025 TextMEF: Text-guided Prompt Learning for Multi-exposure Image Fusion IJCAI 2025 DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging CVPR 2025 Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond CVPR 2025 Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution ECCV 2024 Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024 Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation CVPR 2024 Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy ICML 2024 Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation AAAI 2024 Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks AAAI 2024 Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion AAAI 2024 Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications IJCAI 2024 Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023 Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond IJCAI 2023 Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation ICCV 2023 Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration IJCAI 2022 Toward Fast, Flexible, and Robust Low-Light Image Enhancement CVPR 2022 Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection CVPR 2022 Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way CVPR 2022 Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition CVPR 2022 ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion ECCV 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022 Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration IJCAI 2022 A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization ICML 2021 Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond NIPS 2021 Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement CVPR 2021 Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement ACML 2021 Bi-level Probabilistic Feature Learning for Deformable Image Registration IJCAI 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Semi-Supervised Skin Detection by Network With Mutual Guidance ICCV 2019 Exploiting Local Feature Patterns for Unsupervised Domain Adaptation AAAI 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019 Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems AAAI 2019 Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams IJCAI 2018 Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018 A Bridging Framework for Model Optimization and Deep Propagation NIPS 2018 Adaptive Partial Differential Equation Learning for Visual Saliency Detection CVPR 2014 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning ACML 2013 Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NIPS 2011