Hao Xing
Scholar

Hao Xing

Google Scholar ID: T2gBkBAAAAAJ
Technical University of Munich
Human Action RecognitionHuman-Robot CollaborationRobotic Vision
Citations & Impact
All-time
Citations
135
 
H-index
7
 
i10-index
6
 
Publications
15
 
Co-authors
0
 
Contact
No contact links provided.
Publications
15 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications include: 'Generative AI for Autonomous Driving: Frontiers and Opportunities' (Proceedings of the Neural Information Processing Systems (NeurIPS) 2025), 'Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks' (The International Journal of Robotics Research, 2024), 'CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching' (Pattern Recognition Letters, 2023), etc.
Research Experience
  • Scientific researcher and post-doc in the Institute for Cognitive Systems (ICS) with Prof. Gordon Cheng since May 2024; Formerly a research assistant in Munich Institute of Robotics and Machine Intelligence (MIRMI, formerly MSRM).
Education
  • PhD student in the Machine Vision and Perception Group under Prof. Dr.-Ing. Darius Burschka since 2019; Graduated with a Master of Science degree in Mechanical Engineering from Technische Universität München, Germany; Received the Bachelor of Engineering degree in Mechanical Engineering from Hefei University of Technology, Hefei, China.
Background
  • Research Interests: Robot Vision, Human Action Recognition, Human-Object Interaction Recognition and Segmentation, Scene Understanding, Visual Depth Estimation, Graph Convolutional Network, Machine Learning. He is a scientific researcher and post-doc in the Institute for Cognitive Systems (ICS), focusing on robotics vision, scene understanding, human action recognition, human object interaction recognition, and human motion generation.
Co-authors
0 total
Co-authors: 0 (list not available)