Bastian Wandt
Assistant Professor
My main research interests are human motion capture and 3D reconstruction. A special focus lies on the application of machine learning techniques such as deep learning, dimensionality reduction and compressed sensing.
Publications
Daniel Ajisafe, James Tang, Shih-Yang Su, Bastian Wandt, Helge Rhodin, 
Mirror-Aware Neural Humans, 2024 INTERNATIONAL CONFERENCE IN 3D VISION, 3DV 2024, International Conference on 3D Vision, pp. 1092-1102, IEEE COMPUTER SOC (2024) 
https://doi.org/10.1109/3DV62453.2024.00085
James Tang, Shashwat Suri, Daniel Ajisafe, Bastian Wandt, Helge Rhodin, CasCalib: Cascaded Calibration for Motion Capture from Sparse Unsynchronized Cameras, 2024 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2024, IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, IEEE (2024) https://doi.org/10.1109/FG59268.2024.10581927
Jan Thies Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt, The voraus-AD Dataset for Anomaly Detection in Robot Applications, IEEE Transactions on robotics 40:438-451 (2024) https://doi.org/10.1109/TRO.2023.3332224
Johannes Hägerlind, Jonas Hentati-Sundberg, Bastian Wandt, Temporally-consistent 3D Reconstruction of Birds, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) 
https://arxiv.org/abs/2408.13629
Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén, Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3471-3480, IEEE (2024) https://doi.org/10.1109/cvprw63382.2024.00351