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20232026
most citedSemantically Structured Image Compression via Irregular Group-Based Decoupling

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cs.CV2026

Generation Navigator: A State-Aware Agentic Framework for Image Generation

Jinming Liu, Ruoyu Feng, Yuqi Wang +2

Despite rapid advances in text-to-image generation, faithfully realizing user intent remains challenging, often requiring manual multi-turn trial and error. To automate this proces…

cs.CV2025

Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior

Ruoyu Feng, Yunpeng Qi, Jinming Liu +4

Image compression methods are usually optimized isolatedly for human perception or machine analysis tasks. We reveal fundamental commonalities between these objectives: preserving…

cs.CV2024

Rethinking Domain Adaptation and Generalization in the Era of CLIP

Ruoyu Feng, Tao Yu, Xin Jin +3

In recent studies on domain adaptation, significant emphasis has been placed on the advancement of learning shared knowledge from a source domain to a target domain. Recently, the…

cs.CV2024

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression

Jinming Liu, Ruoyu Feng, Yunpeng Qi +4

Recently, the field of Image Coding for Machines (ICM) has garnered heightened interest and significant advances thanks to the rapid progress of learning-based techniques for image…

cs.CV2024

PromptCIR: Blind Compressed Image Restoration with Prompt Learning

Bingchen Li, Xin Li, Yiting Lu +5

Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality f…