| A dual doctor-patient twin paradigm for transparent remote examination, diagnosis, and rehabilitation M Tröbinger, A Costinescu, H Xing, J Elsner, T Hu, A Naceri, L Figueredo, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 22 | 2021 |
| 6DOF needle pose estimation for robot-assisted vitreoretinal surgery M Zhou, X Hao, A Eslami, KAI Huang, C Cai, CP Lohmann, N Navab, ... IEEE Access 7, 63113-63122, 2019 | 21 | 2019 |
| Understanding spatio-temporal relations in human-object interaction using pyramid graph convolutional network H Xing, D Burschka 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 11 | 2022 |
| Joint prediction of monocular depth and structure using planar and parallax geometry H Xing, Y Cao, M Biber, M Zhou, D Burschka Pattern Recognition 130, 108806, 2022 | 10 | 2022 |
| Skeletal human action recognition using hybrid attention based graph convolutional network H Xing, D Burschka 2022 26th International Conference on Pattern Recognition (ICPR), 3333-3340, 2022 | 10 | 2022 |
| Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information H Xing, Y Xue, M Zhou, D Burschka 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
| CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching Q Wang, H Xing, Y Ying, M Zhou Pattern Recognition Letters 173, 38-44, 2023 | 5 | 2023 |
| Adaptable action-aware vital models for personalized intelligent patient monitoring K Wu, EH Chen, X Hao, F Wirth, K Vitanova, R Lange, D Burschka 2022 International Conference on Robotics and Automation (ICRA), 826-832, 2022 | 4 | 2022 |
| Modeling action spatiotemporal relationships using graph-based class-level attention network for long-term action detection Y Wu, X Su, D Salihu, H Xing, M Zakour, C Patsch 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
| Understanding human activity with uncertainty measure for novelty in graph convolutional networks H Xing, D Burschka The International Journal of Robotics Research, 02783649241287800, 2024 | | 2024 |
Darius BurschkaProfessor of Computer Engineering, Technical University of MunichVerifisert e-postadresse på tum.de
