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20182021
most citedDeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces

36 citations · 40 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.CV2021

ContactOpt: Optimizing Contact to Improve Grasps

Patrick Grady, Chengcheng Tang, Christopher D. Twigg +3

Physical contact between hands and objects plays a critical role in human grasps. We show that optimizing the pose of a hand to achieve expected contact with an object can improve…

cs.CV2020

UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality

Mathias Parger, Chengcheng Tang, Yuanlu Xu +5

Tracking body and hand motions in the 3D space is essential for social and self-presence in augmented and virtual environments. Unlike the popular 3D pose estimation setting, the p…

cs.CV2020

ContactPose: A Dataset of Grasps with Object Contact and Hand Pose

Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg +2

Grasping is natural for humans. However, it involves complex hand configurations and soft tissue deformation that can result in complicated regions of contact between the hand and…

cs.CV2019★ 36 cited

DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces

Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian +3

Reconstruction of geometry based on different input modes, such as images or point clouds, has been instrumental in the development of computer aided design and computer graphics.…

cs.CV2018★ 4 cited

Parsing Geometry Using Structure-Aware Shape Templates

Vignesh Ganapathi-Subramanian, Olga Diamanti, Soeren Pirk +3

Real-life man-made objects often exhibit strong and easily-identifiable structure, as a direct result of their design or their intended functionality. Structure typically appears i…