no code implementations • 19 Sep 2023 • Zeshi Yang, Zherong Pan, Manyi Li, Kui Wu, Xifeng Gao
2D irregular shape packing is a necessary step to arrange UV patches of a 3D model within a texture atlas for memory-efficient appearance rendering in computer graphics.
1 code implementation • 5 Dec 2022 • Hang Zhao, Zherong Pan, Yang Yu, Kai Xu
We study the problem of learning online packing skills for irregular 3D shapes, which is arguably the most challenging setting of bin packing problems.
no code implementations • 8 Oct 2021 • Qingyang Tan, Zherong Pan, Breannan Smith, Takaaki Shiratori, Dinesh Manocha
We present a robust learning algorithm to detect and handle collisions in 3D deforming meshes.
1 code implementation • 25 Mar 2021 • Joao Marcos Correia Marques, Ramya Ramalingam, Zherong Pan, Kris Hauser
UV radiation has been used as a disinfection strategy to deactivate a wide range of pathogens, but existing irradiation strategies do not ensure sufficient exposure of all environmental surfaces and/or require long disinfection times.
1 code implementation • 19 Oct 2020 • Ruiqi Ni, Teseo Schneider, Daniele Panozzo, Zherong Pan, Xifeng Gao
Generating locally optimal UAV-trajectories is challenging due to the non-convex constraints of collision avoidance and actuation limits.
Robotics
no code implementations • 4 Feb 2020 • Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha
We present an end-to-end algorithm for training deep neural networks to grasp novel objects.
Robotics
no code implementations • 26 Sep 2019 • Qingyang Tan, Zherong Pan, Lin Gao, Dinesh Manocha
We present a new algorithm to embed a high-dimensional configuration space of deformable objects in a low-dimensional feature space, where the configurations of objects and feature points have approximate one-to-one mapping.
no code implementations • 1 Mar 2019 • Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha
The quality of the grasp poses is on par with the groundtruth poses in the dataset.
Robotics
no code implementations • 3 Aug 2016 • Shan Yang, Tanya Ambert, Zherong Pan, Ke Wang, Licheng Yu, Tamara Berg, Ming C. Lin
Most recent garment capturing techniques rely on acquiring multiple views of clothing, which may not always be readily available, especially in the case of pre-existing photographs from the web.