Jinyuan Liu

16

Papers

436

Total Citations

Papers (16)

FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

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

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

Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution

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

DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution

CoA: Towards Real Image Dehazing via Compression-and-Adaptation

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

A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

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

Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark

Depth-Supervised Fusion Network for Seamless-Free Image Stitching

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