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Institute for Visualization and Interactive Systems   

Welcome to the Homepage of

Sebastian Volz

Research Assistant

   University of Stuttgart


Position: Ph.D. Student
Phone: +49-711-685-88371
Fax: +49-711-685-88340
E-mail: sebastian.volz -at- vis.uni-stuttgart.de
Address: Intelligent Systems Department
Institute for Visualization and Interactive Systems
University of Stuttgart, Universitätsstraße 38
70569 Stuttgart, Germany
Office: Room 1.465, Computer Science Building


  • Stereo Reconstruction
  • Optical Flow


Journals


Conferences

  • IEEE International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Energy Minimization Methods in Computer Vision
    and Pattern Recognition (EMMCVPR)
  • International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)
  • German Pattern Recognition Symposium (DAGM)
  • German Conference on Pattern Recognition (GCPR)
  • Inverse Rendering Workshop at the International Conference on Computer Vision (ICCV-IR)


Conference Papers

  1. D. Maurer, M. Stoll, S. Volz, P. Gairing, A. Bruhn:
    A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow.
    In Proc. 6th International Conference on Scale Space and Variational Methods in Computer Vision
    SSVM 2017, Kolding, Denmark, June 2017 - F. Lauze, Y. Dong, A. B. Dahl (Eds.)
    Lecture Notes in Computer Science, Vol. 10302, 537-549, Springer, Berlin, 2017.
  2. M. Stoll, D. Maurer, S. Volz, A. Bruhn
    Illumination-aware large displacement optical flow.
    In Proc. 11th Int. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition
    EMMCVPR 2017, Venice, Italy - M. Pelilo, E. Hancock (Eds.)
    Lecture Notes in Computer Science, Vol. 10746, 139-154, Springer, 2017.
  3. M. Stoll, S. Volz, D. Maurer, A. Bruhn:
    A Time-Efficient Optimisation Framework for Parameters of Optical Flow Methods.
    In Proc. 20th Scandinavian Conference on Image Analysis
    SCIA 2017, Tromsø Norway, June 2017 - R. Jenssen, P. Sharma, F. M. Bianchi (Eds.)
    Lecture Notes in Computer Science, Vol. 10269, 41-53, Springer, Berlin, 2017.
  4. O. Demetz, M. Stoll, S. Volz, J. Weickert, A. Bruhn
    Learning Brightness Transfer Functions for the
    Joint Recovery of Illumination Changes and Optical Flow
    .
    In Proc. 13th European Conference on Computer Vision
    ECCV 2014, Zurich, Switzerland, September 2014
    Lecture Notes in Computer Science, Vol. 8689, Springer, Berlin, 455-471, 2014.

  5. M. Stoll, S. Volz, A. Bruhn
    Joint Trilateral Filtering for Multiframe Optical Flow.
    In Proc. 20th IEEE International Conference on Image Processing
    ICIP 2013, Melbourne, Australia, September 2013
    IEEE Computer Society Press, 3845-3849, 2013.

  6. M. Stoll, S. Volz, A. Bruhn
    Adaptive Integration of Feature Matches into Variational Optical Flow Methods.
    In Proc. 11th Asian Conference on Computer Vision
    ACCV 2012, Daejeon, Korea, November 2012 - K. M. Lee, J. Rheg, Y. Matshushita, Z. Hu (Eds.)
    Lecture Notes in Computer Science, Springer, Berlin, 1-14, 2013.
    See also: Supplementary Material.

  7. S. Volz, A. Bruhn, L. Valgaerts, H. Zimmer
    Modeling Temporal Coherence for Optical Flow.
    In Proc. 13th International Conference on Computer Vision
    ICCV 2011, Barcelona, Spain, November 2011.
    IEEE Computer Society Press, 1116-1123, 2011.
    See also: Supplementary Website.



Theses

  1. S. Volz
    Variational Scene Flow.
    Diploma Thesis in Mathematics, Department of Mathematics and Computer Science,
    Saarland University, Saarbrücken, March, 2010.



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