no code implementations • 13 Oct 2024 • Nayoung Ha, Ruolin Ye, Ziang Liu, Shubhangi Sinha, Tapomayukh Bhattacharjee
The paper presents REPeat, a Real2Sim2Real framework designed to enhance bite acquisition in robot-assisted feeding for soft foods.
no code implementations • CVPR 2023 • Wenqiang Xu, Zhenjun Yu, Han Xue, Ruolin Ye, Siqiong Yao, Cewu Lu
We propose a simulation environment, VT-Sim, which supports generating hand-object interaction for both rigid and deformable objects.
1 code implementation • CVPR 2023 • Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li, Wenxin Du, Ruolin Ye, Cewu Lu
In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with which users can manipulate virtual garment models in simulation through a VR interface.
no code implementations • ICCV 2023 • Wenqiang Xu, Wenxin Du, Han Xue, Yutong Li, Ruolin Ye, Yan-Feng Wang, Cewu Lu
In this work, we propose a recording system, GarmentTwin, which can track garment poses in dynamic settings such as manipulation.
no code implementations • 7 Jun 2021 • Tutian Tang, Wenqiang Xu, Ruolin Ye, Yan-Feng Wang, Cewu Lu
In addition, we specifically select a subset from COCO val2017 named COCO ContourHard-val to further demonstrate the contour quality improvements.
no code implementations • ICCV 2021 • Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu
Besides, we also report the hand and object pose errors with existing baselines and show that the dataset can serve as the video demonstrations for robot imitation learning on the handover task.
1 code implementation • 2 Dec 2020 • Tutian Tang, Wenqiang Xu, Ruolin Ye, Lixin Yang, Cewu Lu
First, it learns a dictionary from a large collection of shape datasets, making any shape being able to be decomposed into a linear combination through the dictionary.