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
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
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
Karl Holmquist, Bastian Wandt, DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models, 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), IEEE International Conference on Computer Vision, pp. 15931-15941, IEEE COMPUTER SOC (2023) https://doi.org/10.1109/ICCV51070.2023.01464
Karl Holmquist, Bastian Wandt, Diffpose: Multi-hypothesis human pose estimation using diffusion models, (2023)