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20232026
most citedGPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset

4 citations · 7 across the 26 of their papers we have counts for

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cs.CV2026

Where to Look Matters: On-Policy Self-Distillation for Long-Video Understanding

Kaishen Wang, Dongdi Zhao, Yijun Liang +4

Vision-language models (VLMs) have made substantial progress in long-video understanding, with standard backbone models typically answering questions from frames sampled across the…

cs.CV2026

Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation

Tianyi Xiong, Zhengyuan Yang, Xiaofei Wang +10

Large vision-language models have shown strong progress in UI-to-code generation, yet their test-time self-evolution remains unstable. We first identify a fundamental obstacle, ter…

cs.CV2025

Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following

Tianyi Xiong, Yi Ge, Ming Li +13

Large multimodal models (LMMs) are increasingly adopted as judges in multimodal evaluation systems due to their strong instruction following and consistency with human preferences.…

cs.CV2025

ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation

Kaishen Wang, Ruibo Chen, Tong Zheng +1

Recent text-to-image (T2I) models have made remarkable progress in generating visually realistic and semantically coherent images. However, they still suffer from randomness and in…

cs.CV2025

A Watermark for Auto-Regressive Image Generation Models

Yihan Wu, Xuehao Cui, Ruibo Chen +2

The rapid evolution of image generation models has revolutionized visual content creation, enabling the synthesis of highly realistic and contextually accurate images for diverse a…