| The magni human motion dataset: Accurate, complex, multi-modal, natural, semantically-rich and contextualized T Schreiter, TR de Almeida, Y Zhu, EG Maestro, L Morillo-Mendez, ... arXiv preprint arXiv:2208.14925, 2022 | 9 | 2022 |
| CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction Y Zhu, A Rudenko, TP Kucner, L Palmieri, KO Arras, AJ Lilienthal, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 1 | 2023 |
| A Data-Efficient Approach for Long-Term Human Motion Prediction Using Maps of Dynamics Y Zhu, A Rudenko, TP Kucner, AJ Lilienthal, M Magnusson 5th LHMP Workshop held in conjunction with 40th IEEE International …, 2023 | 1 | 2023 |
| THOR-Magni: Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction TR De Almeida, A Rudenko, T Schreiter, Y Zhu, EG Maestro, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow Y Zhu, H Fan, A Rudenko, M Magnusson, E Schaffernicht, AJ Lilienthal 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024 | | 2024 |
| TH\" OR-MAGNI: A Large-scale Indoor Motion Capture Recording of Human Movement and Robot Interaction T Schreiter, TR de Almeida, Y Zhu, EG Maestro, L Morillo-Mendez, ... arXiv preprint arXiv:2403.09285, 2024 | | 2024 |
