40 citations · 121 across the 37 of their papers we have counts for
5 papers · 1 filter
iSeg3D: An Interactive 3D Shape Segmentation Tool
Sucheng Qian, Liu Liu, Wenqiang Xu +1
A large-scale dataset is essential for learning good features in 3D shape understanding, but there are only a few datasets that can satisfy deep learning training. One of the major…
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
Han Xue, Liu Liu, Wenqiang Xu +2
Articulated objects are pervasive in daily life. However, due to the intrinsic high-DoF structure, the joint states of the articulated objects are hard to be estimated. To model ar…
ContourRender: Detecting Arbitrary Contour Shape For Instance Segmentation In One Pass
Tutian Tang, Wenqiang Xu, Ruolin Ye +2
Direct contour regression for instance segmentation is a challenging task. Previous works usually achieve it by learning to progressively refine the contour prediction or adopting…
Towards Real-World Category-level Articulation Pose Estimation
Liu Liu, Han Xue, Wenqiang Xu +2
Human life is populated with articulated objects. Current Category-level Articulation Pose Estimation (CAPE) methods are studied under the single-instance setting with a fixed kine…
H2O: A Benchmark for Visual Human-human Object Handover Analysis
Ruolin Ye, Wenqiang Xu, Zhendong Xue +3
Object handover is a common human collaboration behavior that attracts attention from researchers in Robotics and Cognitive Science. Though visual perception plays an important rol…