Showing 2026Show all
3 papers · 1 filter
cs.MM2026
Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
Yingwen Zhang, Meng Wang, Liqiang He +1
This paper explores whether large language models (LLMs) can design video coding tools, a highly challenging task due to the intricate algorithmic coupling of tool modifications. I…
cs.CV2026
Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval
Wangding Xia, Ye Du, Jiashi Lin +3
Large-scale pretrained foundation models have revolutionized general medical screening, but often falter on rare diseases because such conditions are underrepresented in real-world…
eess.IV2026
LLM-Driven Heuristic Frame-Level Quantization Parameter Adaptation for VVenC
Liqiang He, Yingwen Zhang, Riyu Lu +2
Optimal frame-level quantization parameter (QP) allocation remains a persistent challenge in modern video encoders. The fixed-QP scheme widely adopted in practical systems is inher…