M. Sc. Hao Xing
Email: hao.xing(at)tum.de
Room: HB 2.02.21
Address:
Institut für Informatik 6 Technische Universität München,
Parkring 13, 85748 Garching bei München
Munich School of Robotics and Machine Intelligence,
Heßstr. 134, 80797 München
Office Hours: By email
Curriculum Vitae
Hao Xing is a research assistant in Munich Institute of Robotics and Machine Intelligence (MIRMI), formerly MSRM and PhD student in the Machine Vision and Perception Group under Prof. Dr.-Ing. Darius Burschka since 2019. He graduated with the Master of Science degree in Mechanical Engineering from the Technische Universität München, Germany, in 2019. He received the Bachelor of Engineering degree in Mechanical Engineering from Hefei University of Technology, Hefei, China.
In his new role, he is part of the Geriatronik project that focuses on the object detection, human action recognition, human object interaction recognition and visual navigation for service robotics.
Research Interests
- Robot Vision
- Human Action Recognition
- Human Pose Estimation
- Object Detection
- Scene Understanding
- Visual Navigation
- Machine Learning
Offered Thesis
- Master Thesis: Monocular Depth estimation using structural Information
requirement: CNN knowledge, Python programming
- Master Thesis: Human Action Recognition using 3D Skeletal Information
requirement: Machine Learning basic knowledge, C++ programming
- Master Thesis: Semantic Mapping with Human-Object Interaction
requirement: Machine Learning basic knowledge, C++ programming
- Master Thesis: Scene Understanding using Graph Neural Networks (GNNs)
requirement: CNN basic knowledge, Python or C++ programming
- Or if you are just interested in my research and wanna write a thesis in this area, please feel free to contact me.
Publications
2021
- A Dual Doctor-Patient Twin Paradigm for Transparent Remote Examination, Diagnosis, and Rehabilitation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 mehr… BibTeX
- Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 mehr… BibTeX Volltext (mediaTUM)
2019
- 6DOF Needle Pose Estimation forRobot-assisted Vitreoretinal Surgery, accepted. IEEE Access, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)