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 scene understanding, human action recognition, human object interaction recognition and visual navigation for service robotics.

Research Interests

  • Robot Vision
  • Human Action Recognition
  • Human-Object Interaction Recognition and Segmentation
  • Scene Understanding
  • Visual Depth Estimation
  • Graph Convolutional Network
  • Machine Learning

Open thesis topic

  • Master Thesis: Stereo Matching by Spatial Transformers

          requirement: CNN knowledge, Python programming, starts from now

  • Master Thesis: Monocular Depth estimation using structural Information (reference video)

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

Contact: send your CV and transcript to my email (see top)




  • Qingyu Wang, Hao Xing, Yibin Ying, Mingchuan Zhou: CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching. Pattern Recognition Letters, 2023 mehr… BibTeX Volltext ( DOI )
  • Y Wu, X Su, D Salihu, Hao Xing, M Zakour, C Patsch: Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 mehr… BibTeX


  • 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


  • Tröbinger, Mario; Costinescu, Andrei; Xing, Hao; Elsner, Jean; Hu, Tingli; Naceri, Abdeldjallil; Figueredo, Luis; Jensen, Elisabeth; Burschka, Darius; Haddadin, Sami: 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 Volltext ( DOI )
  • 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. IEEE Access 7, 2019, 63113-63122 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

Hao Xing