M. Sc. Hao Xing

Email: hao.xing(at)tum.de

Room: HB 2.02.21


Institut für Informatik 6 Technische Universität München,

Parkring 13, 85748 Garching bei 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 (reference video)

          requirement: Epipolar geometry (Homography/Essential Matrix), CNN knowledge, Python programming

  • Master Thesis: Semantic Mapping with Human-Object Interaction in Real-Time

          requirement: Machine Learning basic knowledge, 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.



  • Hao Xing, Darius Burschka: Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network. 26th International Conference on Pattern Recognition (ICPR), 2022 mehr… BibTeX
  • Hao Xing, Darius Burschka: Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 mehr… BibTeX Volltext (mediaTUM)
  • Hao Xing, Yifan Cao, Maximilian Biber, Mingchuan Zhou, Darius Burschka: Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry. Pattern Recognition (PR) Elsevier, 2022 mehr… BibTeX Volltext ( DOI )
  • Kai Wu, Ee Heng Chen, Xing Hao, Felix Wirth, Keti Vitanova, Rüdiger Lange and Darius Burschka: Adaptable Action-Aware Vital Modelsfor Personalized Intelligent Patient Monitoring. 2022 IEEE International Conference on Robotics and Automation (ICRA), 2022 mehr… BibTeX


  • Troebinger M., Costinescu A., Xing Hao, Elsner J., Hu T., Naceri A., Figueredo LFC, Jensen E., Burschka D., Haddadin S.: 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
  • Xing Hao, Xue Yuxuan, Zhou Mingchuan, Burschka Darius: 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)


  • Zhou*, Mingchuan; Xing*, Hao; Eslami, Abouzar; Huang, Kai; Cai, Caixia; Lohmann, Chris P.; Navab, Nassir; Knoll, Alois; Nasseri, M. Ali: 6DOF Needle Pose Estimation forRobot-assisted Vitreoretinal Surgery, accepted. IEEE Access, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

Hao Xing