Risheng Liu

papers

2,244

total citations

papers (19)

Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection

CVPR 2022arXiv

877

citations

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

CVPR 2021arXiv

867

citations

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

ICCV 2023arXiv

239

citations

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

NEURIPS 2021arXiv

citations

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion

CVPR 2025arXiv

citations

Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond

CVPR 2025arXiv

citations

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

AAAI 2024arXiv

citations

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

AAAI 2024arXiv

citations

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

ICML 2024arXiv

citations

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution

ECCV 2024

citations

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

AAAI 2024arXiv

citations

Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond

CVPR 2025

citations

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

ECCV 2022

citations

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

CVPR 2022arXiv

citations

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

CVPR 2024

citations

Risheng Liu

papers (19)

Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection

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

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

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

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion

Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond

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

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

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

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution

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

DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging

Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark

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

Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition

Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond

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

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

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

papers (19)

Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection

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

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

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

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion

Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond

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

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

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

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution

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

DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging

Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark

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

Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition

Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond

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

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

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