Institute for Cognitive Systems (ICS), Technische Universität München
Karlstraße 45, 80333 München
Office Hours: By email
Curriculum Vitae
Hao Xing is a scientific researcher and post-doc in the Institute for Cognitive Systems (ICS) with Prof. Gordon Cheng since 05. 2024. He was 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. 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 ICS that focuses on the robotics vision, scene understanding, human action recognition, human object interaction recognition and human motion generation.
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)
Hao Xing, Darius Burschka: Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks. The International Journal of Robotics Research, 2024 mehr…BibTeX
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2023
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
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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
2022
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
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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
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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
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
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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
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