This image shows Daniel Maurer

Daniel Maurer

Dr.

Doctoral Researcher
Institute for Visualization and Interactive Systems (VIS)
Research Group Intelligent Systems

Contact

Business card (VCF)

Deutschland

Publications:

  1. 2019

    1. Men, Hui ; Lin, Hanhe ; Hosu, Vlad ; Maurer, Daniel ; Bruhn, Andrés ; Saupe, Dietmar: Visual Quality Assessment for Motion Compensated Frame Interpolation. In: Proceedings of the International Conference on Quality of Multimedia Experience (QoMEX), Proceedings of the International Conference on Quality of Multimedia Experience (QoMEX) : IEEE, 2019, S. 1–6

  2. 2018

    1. Maurer, Daniel ; Bruhn, Andrés: ProFlow: Learning to Predict Optical Flow. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2018
    2. Maurer, Daniel ; Stoll, Michael ; Bruhn, Andrés: Directional Priors for Multi-Frame Optical Flow. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2018, S. 106:1-106:13
    3. Maurer, Daniel ; Ju, Yong Chul ; Breuß, Michael ; Bruhn, Andrés: Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 126 (2018), Nr. 12, S. 1342–1366
    4. Maurer, Daniel ; Marniok, Nico ; Goldluecke, Bastian ; Bruhn, Andrés: Structure-from-motion-aware PatchMatch for Adaptive Optical Flow Estimation. In: Ferrari, V. ; Hebert, M. ; Sminchisescu, C. ; Weiss, Y. (Hrsg.) ; Ferrari, V. ; Hebert, M. ; Sminchisescu, C. ; Weiss, Y. (Hrsg.): Computer Vision – ECCV 2018. ECCV 2018. Lecture Notes in Computer Science, Computer Vision – ECCV 2018. ECCV 2018. Lecture Notes in Computer Science. Bd. 11212 : Springer International Publishing, 2018, S. 575–592

  3. 2017

    1. Maurer, Daniel ; Bruhn, Andrés ; Stoll, Michael: Order-adaptive and Illumination-aware Variational Optical Flow Refinement. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2017, S. 150:1-150:13
    2. Stoll, Michael ; Maurer, Daniel ; Volz, Sebastian ; Bruhn, Andrés: Illumination-aware Large Displacement Optical Flow. In: Pelillo, M. ; Hancock, E. R. (Hrsg.) ; Pelillo, M. ; Hancock, E. R. (Hrsg.): Proceedings of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR). Lecture Notes in Computer Science, Proceedings of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR). Lecture Notes in Computer Science. Bd. 10746 : Springer International Publishing, 2017, S. 139–154
    3. Maurer, Daniel ; Stoll, Michael ; Bruhn, Andrés: Order-adaptive Regularisation for Variational Optical Flow: Global, Local and in Between. In: Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.) ; Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.): Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science. Bd. 10302 : Springer International Publishing, 2017, S. 550–562
    4. Stoll, Michael ; Maurer, Daniel ; Bruhn, Andrés: Variational Large Displacement Optical Flow without Feature Matches. In: Hancock, E. R. ; Pelillo, M. (Hrsg.) ; Hancock, E. R. ; Pelillo, M. (Hrsg.): Proceedings of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR). Lecture Notes in Computer Science, Proceedings of International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR). Lecture Notes in Computer Science : Springer, 2017
    5. Maurer, Daniel ; Stoll, Michael ; Volz, Sebastian ; Gairing, Patrick ; Bruhn, Andrés: A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow. In: Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.) ; Lauze, F. ; Dong, Y. ; Dahl, A. B. (Hrsg.): Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science, Scale Space and Variational Methods in Computer Vision. SSVM 2017. Lecture Notes in Computer Science. Bd. 10302 : Springer International Publishing, 2017, S. 537–549
    6. Stoll, Michael ; Volz, Sebastian ; Maurer, Daniel ; Bruhn, Andrés: A Time-Efficient Optimisation Framework for Parameters of Opitical Flow Methods. In: Jenssen, R. ; Sharma, P. ; Bianchi, F. M. (Hrsg.) ; Jenssen, R. ; Sharma, P. ; Bianchi, F. M. (Hrsg.): Proceedings of Scandinavian Conference on Image Analysis (SCIA). Lecture Notes in Computer Science, Proceedings of Scandinavian Conference on Image Analysis (SCIA). Lecture Notes in Computer Science. Bd. 10269 : Springer, 2017

  4. 2016

    1. Maurer, Daniel ; Ju, Yong-Chul ; Breuß, Michael ; Bruhn, Andrés: Combining shape from shading and stereo: a variational approach for the joint estimation of depth, illumination and albedo. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2016
    2. Ju, Yong-Chul ; Maurer, Daniel ; Breuß, Michael ; Bruhn, Andrés: Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation. In: Breuß, M. ; Maragos, P. ; Wuhrer, S. (Hrsg.) ; Breuß, M. ; Maragos, P. ; Wuhrer, S. (Hrsg.): Perspectives on Shape From Shading. Mathematics and Visualization, Perspectives on Shape From Shading. Mathematics and Visualization : Springer, 2016

  5. 2015

    1. Maurer, Daniel ; Ju, Yong-Chul ; Breuß, Michael ; Bruhn, Andrés: An Efficient Linearisation Approach for Variational Perspective Shape from Shading. In: Gall, J. ; Gehler, P. ; Leibe, B. (Hrsg.) ; Gall, J. ; Gehler, P. ; Leibe, B. (Hrsg.): German Conference on Pattern Recognition (GCPR 2015). Lecture Notes in Computer Science, German Conference on Pattern Recognition (GCPR 2015). Lecture Notes in Computer Science. Bd. 9358 : Springer, 2015
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