Risheng Liu
49 papers · 2011–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (69) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(27)
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(19)
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Keyword Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Keyword Collector
(212)
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Research topics
Machine Learning
(32)
Computer Vision
(31)
Processing
(27)
Deep Learning
(26)
Optimization & Theory Β· Machine Learning
(17)
Mathematics & Optimization
(15)
Optimization
(15)
Learning Types Β· Machine Learning
(14)
Learning Types Β· Deep Learning
(13)
Optimization & Theory Β· Deep Learning
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Domain-Specific
(6)
Analysis
(5)
Architectures
(4)
Keywords
bilevel optimization
(12)
image restoration
(10)
image fusion
(9)
convergence analysis
(7)
non-convex optimization
(6)
infrared imaging
(5)
multimodal learning
(4)
image registration
(3)
neural architecture search
(3)
semantic segmentation
(3)
alternating direction method
(3)
object detection
(3)
multi-task learning
(2)
neural network optimization
(2)
image reconstruction
(2)
adversarial learning
(2)
gradient descent
(2)
unsupervised learning
(2)
knowledge distillation
(2)
reinforcement learning
(2)
Papers
A Hybrid Space Model for Misaligned Multi-modality Image Fusion
AAAI 2026
BiProLoRA: Bilevel Prompt LoRA for Real Scene Recovery
CVPR 2026
Bridging Human Evaluation to Infrared and Visible Image Fusion
CVPR 2026
HiDRA: Hierarchical Degradation Representation and Adaptation with Generative Priors for Enhancing Infrared Vision
CVPR 2026
Human-Centric Multi-Exposure Fusion: Benchmark and Bi-level Cognition Distillation Framework
CVPR 2026
Streaming Diffusion Model for Fast Infrared and Visible Video Fusion
CVPR 2026
Taming Generative Diffusion Model for Task-Oriented Infrared Imaging
CVPR 2026
DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion
CVPR 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
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
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
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution
ECCV 2024
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion
AAAI 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy
ICML 2024
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
AAAI 2024
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation
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
Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration
IJCAI 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
ICML 2022
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion
ECCV 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
Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection
CVPR 2022
Toward Fast, Flexible, and Robust Low-Light Image Enhancement
CVPR 2022
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration
IJCAI 2022
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
ICML 2021
Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement
ACML 2021
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement
CVPR 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
NeurIPS 2021
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
ICML 2020
Bi-level Probabilistic Feature Learning for Deformable Image Registration
IJCAI 2020
Optimization Learning: Perspective, Method, and Applications
IJCAI 2020
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
AAAI 2019
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
AAAI 2019
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
AAAI 2019
Semi-Supervised Skin Detection by Network With Mutual Guidance
ICCV 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization
AAAI 2019
A Bridging Framework for Model Optimization and Deep Propagation
NeurIPS 2018
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
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
NeurIPS 2011