9 citations · 17 across the 5 of their papers we have counts for
5 papers
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
Qingqing Zhao, Yao Lu, Moo Jin Kim +12
Vision-language-action models (VLAs) have shown potential in leveraging pretrained vision-language models and diverse robot demonstrations for learning generalizable sensorimotor c…
Neural Control Variates with Automatic Integration
Zilu Li, Guandao Yang, Qingqing Zhao +4
This paper presents a method to leverage arbitrary neural network architecture for control variates. Control variates are crucial in reducing the variance of Monte Carlo integratio…
HumanPlus: Humanoid Shadowing and Imitation from Humans
Zipeng Fu, Qingqing Zhao, Qi Wu +2
One of the key arguments for building robots that have similar form factors to human beings is that we can leverage the massive human data for training. Yet, doing so has remained…
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
Yang Zheng, Qingqing Zhao, Guandao Yang +8
Modeling and rendering photorealistic avatars is of crucial importance in many applications. Existing methods that build a 3D avatar from visual observations, however, struggle to…
Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior
Qingqing Zhao, Peizhuo Li, Wang Yifan +2
Creating believable motions for various characters has long been a goal in computer graphics. Current learning-based motion synthesis methods depend on extensive motion datasets, w…