1 code implementation • 2 Oct 2023 • Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
Collecting large amounts of real-world interaction data to train general robotic policies is often prohibitively expensive, thus motivating the use of simulation data.
no code implementations • CVPR 2023 • Chen Bao, Helin Xu, Yuzhe Qin, Xiaolong Wang
On the other hand, operating with a multi-finger robot hand will allow better approximation to human behavior and enable the robot to operate on diverse articulated objects.
no code implementations • 27 Oct 2022 • Chen Bao, Xudong Zhang, Jiazhou Chen, Yongwei Miao
To this end, we propose a novel multi-scale and multi-granularity feature learning network (MMFL-Net), which can jointly learn global-local aggregation feature representations of clothing images in a unified framework, aiming to train a cross-domain model for C2S fashion visual similarity.