Wissenschaftlicher Mitarbeiter

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M.Sc. Hao Xing

Machine Vision and Perception Group (MVP)

Munich Institute of Robotics and Machine Intelligence (MIRMI)

Work address 1

Machine Vision and Perception Group (MVP)

Parkring 13
85748 Garching b. München

Contact

Room: 2.02.21
Floor: 2
Building: 8101 Parkring 11-13 Garching b. München


Research Interests

  • Robot Vision
  • Human Action Recognition
  • Human-Object Interaction Recognition
  • Action Segmentation
  • Scene Understanding
  • Visual Navigation
  • Graph representation and classification

Education

    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 2014. 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.

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

2022

  • 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. Elsevier Pattern Recognition (PR), 2022 mehr… BibTeX
  • Hao Xing, Darius Burschka: Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network. 2022 26th International Conference on Pattern Recognition (ICPR), 2022 mehr… BibTeX
  • 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

2021

  • 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)

2019

  • 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)