10 citations · 13 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
Hao Zhang, Hongzhuo Liang, Lin Cong +4
Grasping an object when it is in an ungraspable pose is a challenging task, such as books or other large flat objects placed horizontally on a table. Inspired by human manipulation…
Learning 6-DoF Task-oriented Grasp Detection via Implicit Estimation and Visual Affordance
Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen +2
Currently, task-oriented grasp detection approaches are mostly based on pixel-level affordance detection and semantic segmentation. These pixel-level approaches heavily rely on the…
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI
Jian-Wei Zhang, Wei Chen, K. Ina Ly +7
Neurofibromatosis type 1 (NF1) is an autosomal dominant tumor predisposition syndrome that involves the central and peripheral nervous systems. Accurate detection and segmentation…
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes
Jian-Wei Zhang, Lei Lv, Yawei Luo +3
Few-shot segmentation~(FSS) performance has been extensively promoted by introducing episodic training and class-wise prototypes. However, the FSS problem remains challenging due t…