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Yansong Tang

2 papers indexed

arxivcs.CV2026-07-06

Claim-Level Rubric Rewards for Video Caption Reinforcement Learning

Mingqi Gao, Hongyuan Dong, Yifei Chen, Zhisheng Zhong, Zheng Ruan, Wenjin Hou, et al.

In this paper, we introduce Claim-Level Rubric Rewards (CuRe), a structured reward framework designed to address the reward-design bottleneck in reinforcement learning for dense video captioning. Existing reward designs generally fall into two categories: holistic response-level…

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arxivcs.CV2026-06-28

Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction

Xin Dong, Lihan Zhang, Tianru Dai, Wenfeng Deng, Yansong Tang

We propose a mask-free method for lossless multi-object 3D reconstruction from sparse and occluded real-world views, enabling physically plausible robotic interaction via Material Point Method (MPM) simulation. Our key insight is that object coupling stems from occlusion and limi…

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