Dr.-Ing. Bastian Wandt
Linköping University
Assistant Professor
581 83 Linköping
 
Bastian Wandt left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.

News

  • December, 2020. I was awarded the KI Talent (AI talents) for my dissertation Human Pose Estimation from Monocular Images which is endowed with a price money of 4000€.
  • August, 2020. Our paper Same same but DifferNet: Semi-Supervised Defect Detection with Normalizing Flows got accepted to WACV 2020.
  • July, 2020. Our paper Weakly-supervised Learning of Human Dynamics got accepted to ECCV 2020. The Human Dynamics Dataset will soon be available.
  • December 3, 2019. I'm proud to announce that my student Tom Wehrbein received the KI Talente (AI talents) Award for his bachelor thesis Representation of Human Motion using Neural Networks.

 

Bastian Wandt studied Mechatronics at the Leibniz Universität Hannover. During his bachelor studies he focused on robotics and automation. He received his B. Sc. in 2012 with a thesis on path planning of autonomous mobile robots. His master thesis "Ganganalyse in monokularen Bildsequenzen mittels eines morphable Shape-Motion-Models" dealt with 3D reconstruction and animation of human motions.

Since 2014 he is working as a research associate at the Institut für Informationsverarbeitung (TNT) and received his Dr.-Ing. in 2020 for the thesis "Human Pose Estimation from Monocular Images". His main research interests are human motion capture and 3D reconstruction. A special focus lies on the application of various machine learning techniques such as dimensionality reduction, compressed sensing, and deep learning. His current research analyses deep neural networks for human pose reconstruction.

 

Show selected publications only
  • Jan Thieß Brockmann*, Marco Rudolph*, Bodo Rosenhahn, Bastian Wandt, (* equal contribution)
    The voraus-AD Dataset for Anomaly Detection in Robot Applications
    Transactions on Robotics, IEEE, Vol. 40, pp. 438-451, November 2023, edited by Wolfram Burgard
  • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
    Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
    Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2023
  • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
    Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
    Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2022
  • Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
    Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
    International Conference on Computer Vision (ICCV), IEEE, October 2021
  • Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn
    CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
    Computer Vision and Pattern Recognition (CVPR), IEEE, Virtual, June 2021
  • Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
    Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
    Winter Conference on Applications of Computer Vision (WACV), IEEE, Online, January 2021
  • Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
    Weakly-supervised Learning of Human Dynamics
    European Conference on Computer Vision (ECCV), August 2020
  • Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
    Structuring Autoencoders
    Third International Workshop on “Robust Subspace Learning and Applications in Computer Vision” (ICCV), August 2019
  • Bastian Wandt, Bodo Rosenhahn
    RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
    Computer Vision and Pattern Recognition (CVPR), IEEE, June 2019
  • Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    Region-based Cycle-Consistent Data Augmentation for Object Detection
    2018 IEEE International Conference on Big Data, December 2018
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    A Kinematic Chain Space for Monocular Motion Capture
    ECCV Workshops, September 2018
  • Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann
    Extending HEVC with a Texture Synthesis Framework using Detail-aware Image Decomposition
    Proceedings of the Picture Coding Symposium (PCS), IEEE, San Francisco, US, June 2018
  • Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann
    Detail-aware image decomposition for an HEVC-based texture synthesis framework
    Data Compression Conference (DCC), March 2018
  • Petrissa Zell, Bastian Wandt, Bodo Rosenhahn
    Physics-based Models for Human Gait Analysis
    Handbook of Human Motion, Springer International Publishing, 2018, edited by Bertram Müller, Sebastian I. Wolf
  • Bastian Wandt, Thorsten Laude, Yiqun Liu, Bodo Rosenhahn, Jörn Ostermann
    Extending HEVC Using Texture Synthesis
    IEEE Visual Communications and Image Processing (VCIP), St. Petersburg, Florida, USA, December 2017
  • Thiemo Alldieck, Marc Kassubeck, Bastian Wandt, Bodo Rosenhahn, Marcus Magnor
    Optical Flow-based 3D Human Motion Estimation from Monocular Video
    German Conference on Pattern Recognition (GCPR), September 2017
  • Petrissa Zell, Bastian Wandt, Bodo Rosenhahn
    Joint 3D Human Motion Capture and Physical Analysis from Monocular Videos
    The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, July 2017
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    3D Reconstruction of Human Motion from Monocular Image Sequences
    Transactions on Pattern Analysis and Machine Intelligence, IEEE, Vol. 38, No. 8, pp. 1505-1516, 2016
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    3D Human Motion Capture from Monocular Image Sequences
    IEEE Conference on Computer Vision and Pattern Recognition Workshops, IEEE, June 2015
Other activities

Supervised theses

  • Klassifikation menschlicher Bewegungen in Unterräumen (2017)
  • Modellierung eines Posenraums menschlicher Bewegungen mit Hilfe neuronaler Netze (2017)
  • Representation of Human Motion using Neural Networks (2018)
  • Codierung menschlicher Oberflächenmodelle mittels Neuronaler Netze (2018)
  • Zeitkonsistente Schätzung Menschlicher Posen mittels Neuronaler Netze (2018)
  • Recurrent Neural Networks for Monocular Human Motion Capture (2019)
  • Realtime 3D Human Pose Estimation (2019)
  • Texturesynthesis using Generative Adversarial Networks (2019)
  • Dimensionsreduktionsmethoden zur Kodierung menschlicher Posen (2019)
  • Tiefenschätzung zur 3D Rekonstruktion menschlicher Posen (2019)
  • Roboterkinematikbasierte Registrierung eines Augmented Reality Systems (2019)