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Institute for Visualization and Interactive Systems   

Welcome to the Homepage of

Daniel Maurer

Research Assistant

   University of Stuttgart

Position: Ph.D. Student
Phone: +49-711-685-88325
Fax: +49-711-685-88340
E-mail: daniel.maurer -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 1.061, Computer Science Building


  • Shape from Shading
  • Stereo Reconstruction
  • Optical Flow

Journals

Conferences

  • 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)
  • British Machine Vision Conference (BMVC)
  • German Conference on Pattern Recognition (GCPR)
  • Conference on Graphics, Pattern and Images (SIBGRAPI)
  • Inverse Rendering Workshop at the International Conference on Computer Vision (ICCV-IR)

Journal Papers

  1. D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn:
    Combining Shape from Shading and Stereo:
    A Joint Variational Method for Estimating Depth, Illumination and Albedo.
    .
    International Journal of Computer Vision, Vol. 126/12, 1342-1366, 2018.
    Springer online first, March 2018.
    (A read-only version can be found here.)


  2. Book Chapters

  3. Y. C. Ju, D. Maurer, M. Breuß, A. Bruhn:
    Direct variational perspective shape from shading with Cartesian depth parametrisation.
    Perspectives in Shape Analysis.
    Mathematics and Visualization, 43-72, Springer, Berlin, 2016.
    (Also available as ArXiv Preprint 1505.06163, 2015.)


  4. Conference Papers


  5. H. Men, H. Lin, V. Hosu, D. Maurer, A. Bruhn, D. Saupe
    Visual quality assessment for motion compensated frame interpolation.
    In Proc. 11th International Conference on Quality of Multimedia Experience
    QoMEX 2019, Berlin, Germany.
    IEEE Press, 2019.
  6. D. Maurer, N. Marniok, B. Goldl├╝cke, A. Bruhn
    Structure-from-Motion aware PatchMatch for Adaptive Optical Flow Estimation.
    In Proc. 15th European Conference on Computer Vision
    ECCV 2018, Munich, Germany - V. Ferrari, M. Hebert, C. Sminchisescu, Y. Weiss (Eds.)
    Lecture Notes in Computer Science, Vol. 11212, 575-592, Springer, 2018.
  7. D. Maurer, A. Bruhn
    ProFlow: Learning to Predict Optical Flow.
    In Proc. 29th British Machine Vision Conference
    BMVC 2018, Newcastle, UK - H. P. H. Shum, T. Hospedales (Eds.)
    BMVA Press, 2018.
    See also: Supplementary Material.
    Awarded a CVPR 2018 Robust Vison Challenge Runner-Up Award.
  8. D. Maurer, M. Stoll, A. Bruhn
    Directional Priors for Multi-Frame Optical Flow Estimation.
    In Proc. 29th British Machine Vision Conference
    BMVC 2018, Newcastle, UK - H. P. H. Shum, T. Hospedales (Eds.)
    BMVA Press, 2018.
    See also: Supplementary Material.
  9. M. Stoll, D. Maurer, A. Bruhn
    Variational large displacement optical flow without feature matches.
    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, 79-92, Springer, 2017.
  10. 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.
  11. D. Maurer, M. Stoll, A. Bruhn:
    Order-Adaptive and Illumination Aware Variational Optical Flow Refinement.
    In Proc. 28th British Machine Vision Conference
    BMVC 2017, London, UK, September 2017 - K. Mikolajczyk, G. Brostow, T.-K. Kim, S. Zafeiriou (Eds.)
    BMVA Press, 2017.
    See also: Supplementary Material [26MB].
  12. D. Maurer, M. Stoll, A. Bruhn:
    Order-Adaptive Regularisation for Variational Optical Flow: Global, Local and in Between.
    In Proc. 6th International Conference on Scale Space and Variational Methods in Computer Vision
    SSVM 2017, Kolding, Denmark, June 2017 - A. B. Dahl, Y. Dong, F. Lauze (Eds.)
    Lecture Notes in Computer Science, Vol. 10302, 550-562, Springer, Berlin, 2017.
  13. 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 - A. B. Dahl, Y. Dong, F. Lauze (Eds.)
    Lecture Notes in Computer Science, Vol. 10302, 537-549, Springer, Berlin, 2017.
  14. 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.
  15. D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn:
    Combining Shape from Shading and Stereo:
    A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo
    .
    In Proc. 27th British Machine Vision Conference
    BMVC 2016, York, UK, September 2016 - R. Wilson, E. Hancock, W. Smith (Eds.)
    BMVA Press, Art. 76, 2016.
    See also: Supplementary Material [60MB].
  16. D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn:
    An Efficient Linearisation Approach For Variational Perspective Shape from Shading.
    In Proc. 37th German Conference on Pattern Recognition.
    GCPR 2015, Aachen, Germany, September 2015 - B. Leibe, J. Gall, P. Gehler (Eds.)
    Lecture Notes in Computer Science, Vol. 9358, 249-261, Springer, Berlin, 2015.


  17. Theses


  18. D. Maurer
    Depth-driven Variational Methods for Stereo Reconstruction.
    Master Thesis in Computer Science, Insitute for Visualisation and Interactive Systems,
    University of Stuttgart, Stuttgart, October, 2014.
    Awarded the Rul Gunzenhäuser Award




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