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Bastian Wandt, M.Sc.
Leibniz Universität Hannover
eNIFE
Schneiderberg 32
30167 Hannover
Germany
phone: +49 511 762-5038
fax: +49 511 762-5333
office location: room 232
 

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.

Since 2014 he is working towards his Dr.-Ing. at the Institut für Informationsverarbeitung (TNT). His main research interests are human motion capture and 3D reconstruction. A special focus lies on the application of various machine learning approaches such as dimensionality reduction, compressed sensing, and deep learning for neural networks. His current research analyses deep neural networks for human pose reconstruction.

Show recent publications only
  • 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
  • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
    A Kinematic Chain Space for Monocular Motion Capture
    ECCV Workshops, September 2018
  • Book Chapters
    • 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
  • Journals
    • 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
  • Conference Contributions
    • Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
      Structuring Autoencoders
      Third International Workshop on “Robust Subspace Learning and Applications in Computer Vision” (ICCV), August 2019
    • Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
      Region-based Cycle-Consistent Data Augmentation for Object Detection
      IEEE International Conference on Big Data Workshops, December 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
    • 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 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 (running)
  • Texturesynthesis using Generative Adversarial Networks (running)