Hehui Zheng

According to our database, Hehui Zheng authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fast Point-cloud to Mesh Reconstruction for Deformable Object Tracking.

Elham Amin Mansour, Hehui Zheng, Robert K. Katzschmann

CoRR, 2023

Embracing Safe Contacts with Contact-aware Planning and Control.

Zhaoting Li, Miguel Zamora, Hehui Zheng, Stelian Coros

CoRR, 2023

2022

ViSE: Vision-Based 3D Real-Time Shape Estimation of Continuously Deformable Robots.

Hehui Zheng, Sebastian Pinzello, Barnabas Gavin Cangan, Thomas Buchner, Robert K. Katzschmann

CoRR, 2022

2021

Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius

Proceedings of the NeurIPS 2022 Competition Track, 2021

Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.

Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

An Adversarial Approach to Private Flocking in Mobile Robot Teams.

Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok

IEEE Robotics Autom. Lett., 2020

DSNAS: Direct Neural Architecture Search Without Parameter Retraining.

Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

SNAS: stochastic neural architecture search.

Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin

Proceedings of the 7th International Conference on Learning Representations, 2019