1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.RO2022★ 3 cited
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
Wei Wei, Daheng Li, Peng Wang +4
Grasping with anthropomorphic robotic hands involves much more hand-object interactions compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the stu…
cs.RO2021★ 1 cited
GPR: Grasp Pose Refinement Network for Cluttered Scenes
Wei Wei, Yongkang Luo, Fuyu Li +4
Object grasping in cluttered scenes is a widely investigated field of robot manipulation. Most of the current works focus on estimating grasp pose from point clouds based on an eff…
cs.CV2020
Deep Domain Adaptive Object Detection: a Survey
Wanyi Li, Fuyu Li, Yongkang Luo +2
Deep learning (DL) based object detection has achieved great progress. These methods typically assume that large amount of labeled training data is available, and training and test…