Sizhe Zhao — accepted AI-conference papers

2026

QueryMe: Query-Driven Open-Vocabulary 3D Object Affordances Grounding from Multimodal Evidence

Weiyu Zhao, Ru Li, Jiaqi Liu, Sizhe Zhao, Qinglin Liu, Shengping Zhang

CVPR 2026

Open-vocabulary 3D object affordance grounding aims to identify functional regions of objects given arbitrary semantic descriptions. However, existing methods often rely on fixed training categories and geometric priors, lacking geometric invariance and analogical reasoning capabilities. Since there

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2026

TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation

Sizhe Zhao, Shengping Zhang, Shuo Yang, Weiyu Zhao, Shuigen Wang, Xiangyang Ji

ICML 2026poster

Existing embodied control research demonstrates remarkable performance improvements by scaling training data and model size. We instead explore inference-time strategy as an alternative axis. Non-deterministic generative models, such as diffusion and autoregressive models, have been widely adopted i…

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