@inproceedings{958cc930fc544b85a8852a33d96da325,
title = "Motron: Multimodal Probabilistic Human Motion Forecasting",
keywords = "Behavior analysis, Datasets and evaluation, Deep learning architectures and techniques, Efficient learning and inferences, Face and gestures, Machine learning, Motion and tracking, Pose estimation and tracking, Representation learning, Robot vision, Statistical methods",
author = "Tim Salzmann and Marco Pavone and Markus Ryll",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022 ; Conference date: 19-06-2022 Through 24-06-2022",
year = "2022",
doi = "10.1109/CVPR52688.2022.00635",
language = "English",
series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society",
pages = "6447--6456",
booktitle = "Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022",
address = "United States",
}