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20242026
most citedEvolving Deeper LLM Thinking

2 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics

Bingliang Li, Zhenhong Sun, Jiaming Bian +6

Storyboarding is a core skill in visual storytelling for film, animation, and games. However, automating this process requires a system to achieve two properties that current appro…

cs.CV2025

Unified Reinforcement and Imitation Learning for Vision-Language Models

Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro +2

Vision-Language Models (VLMs) have achieved remarkable progress, yet their large scale often renders them impractical for resource-constrained environments. This paper introduces U…

cs.CV2025★ 1 cited

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

Yusuke Hirota, Boyi Li, Ryo Hachiuma +7

Large Vision-Language Models (LVLMs) have transformed image captioning, shifting from concise captions to detailed descriptions. We introduce LOTUS, a leaderboard for evaluating de…

cs.CV2025

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen +2

Vision-language-action (VLA) reasoning tasks require agents to interpret multimodal instructions, perform long-horizon planning, and act adaptively in dynamic environments. Existin…

cs.CV2024

VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models

Byung-Kwan Lee, Ryo Hachiuma, Yu-Chiang Frank Wang +2

The recent surge in high-quality visual instruction tuning samples from closed-source vision-language models (VLMs) such as GPT-4V has accelerated the release of open-source VLMs a…