Dieses Bild zeigt Michael Stoll

Michael Stoll

Herr

Institut für Visualisierung und Interaktive Systeme (VIS)

Kontakt

Visitenkarte (VCF)

Publikationen:
  1. 2020

    1. Kurzhals, Kuno ; Rodrigues, Nils ; Koch, Maurice ; Stoll, Michael ; Bruhn, Andrés ; Bulling, Andreas ; Weiskopf, Daniel: Visual Analytics and Annotation of Pervasive Eye Tracking Video. In: Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA) : ACM, 2020, S. 16:1-16:9
  2. 2018

    1. 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. 2017

    1. 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
    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. 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. 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
    5. 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
    6. Stoll, Michael ; Maurer, Daniel ; Bruhn, Andrés: Variational Large Displacement Optical Flow Without Feature Matches. In: Pelillo, M. ; Hancock, E. R. (Hrsg.) ; Pelillo, M. ; Hancock, E. R. (Hrsg.): Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science, Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017. Lecture Notes in Computer Science. Bd. 10746 : Springer International Publishing, 2017, S. 79–92
    7. Kurzhals, Kuno ; Stoll, Michael ; Bruhn, Andrés ; Weiskopf, Daniel: FlowBrush: Optical Flow Art. In: Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., 2017, S. 1:1-1:9
  4. 2014

    1. Demetz, Oliver ; Stoll, Michael ; Volz, Sebastian ; Weickert, Joachim ; Bruhn, Andrés: Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow. In: Fleet, D. ; Pajdla, T. ; Schiele, B. ; Tuytelaars, T. (Hrsg.) ; Fleet, D. ; Pajdla, T. ; Schiele, B. ; Tuytelaars, T. (Hrsg.): Proceedings of European Conference on Computer Vision (ECCV 2014). Lecture Notes in  Computer Science, Proceedings of European Conference on Computer Vision (ECCV 2014). Lecture Notes in  Computer Science. Bd. 8689 : Springer, 2014
  5. 2013

    1. Stoll, Michael ; Volz, Sebastian ; Bruhn, Andrés: Joint trilateral filtering for multiframe optical flow. In: Press, I. C. S. (Hrsg.) ; Press, I. C. S. (Hrsg.): Proceedings of IEEE International Conference on Image Processing (ICIP 2013), Proceedings of IEEE International Conference on Image Processing (ICIP 2013). Bd. 2013 : IEEE Computer Society Press, 2013
    2. Stoll, Michael ; Krüger, Robert ; Ertl, Thomas ; Bruhn, Andrés: Racecar Tracking and its Visualization Using Sparse Data. In: 1st IEEE VIS Workshop on Sports Data Visualization, 1st IEEE VIS Workshop on Sports Data Visualization. Bd. 2013, 2013
    3. Stoll, Michael ; Volz, Sebastian ; Bruhn, Andrés: Adaptive integration of feature matches into variational optical flow methods. In: Lee, K. M. ; Rehg, J. ; Matsushita, Y. ; Hu, Z. (Hrsg.) ; Lee, K. M. ; Rehg, J. ; Matsushita, Y. ; Hu, Z. (Hrsg.): Proceedings of Asian Conference on Computer Vision (ACCV 2012). Lecture Notes in Computer Science, Proceedings of Asian Conference on Computer Vision (ACCV 2012). Lecture Notes in Computer Science : Springer, 2013
  6. 2012

    1. Metzger, Steffen ; Stoll, Michael ; Hose, Katja ; Schenkel, Ralf: LUKe and MIKE: Learning from User Knowledge and Managing Interactive Knowledge Extraction. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of ACM International Conference on Information and Knowledge Management - Demonstrations (CIKM 2012), Proceedings of ACM International Conference on Information and Knowledge Management - Demonstrations (CIKM 2012). Bd. 2012, 2012
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