| Adaptive integration of feature matches into variational optical flow methods M Stoll, S Volz, A Bruhn Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 38 | 2013 |
| Learning brightness transfer functions for the joint recovery of illumination changes and optical flow O Demetz, M Stoll, S Volz, J Weickert, A Bruhn Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 36 | 2014 |
| Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement. D Maurer, M Stoll, A Bruhn BMVC, 2017 | 22 | 2017 |
| A time-efficient optimisation framework for parameters of optical flow methods M Stoll, S Volz, D Maurer, A Bruhn Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 11 | 2017 |
| Joint trilateral filtering for multiframe optical flow M Stoll, S Volz, A Bruhn 2013 IEEE International Conference on Image Processing, 3845-3849, 2013 | 10 | 2013 |
| Racecar tracking and its visualization using sparse data M Stoll, R Krüger, T Ertl, A Bruhn Proc. Workshop on Sports Data Visualization, 2013 | 10 | 2013 |
| Visual analytics and annotation of pervasive eye tracking video K Kurzhals, N Rodrigues, M Koch, M Stoll, A Bruhn, A Bulling, D Weiskopf ACM symposium on eye tracking research and applications, 1-9, 2020 | 9 | 2020 |
| A comparison of isotropic and anisotropic second order regularisers for optical flow D Maurer, M Stoll, S Volz, P Gairing, A Bruhn Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 7 | 2017 |
| Order-adaptive regularisation for variational optical flow: Global, local and in between D Maurer, M Stoll, A Bruhn Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 7 | 2017 |
| Directional Priors for Multi-Frame Optical Flow. D Maurer, M Stoll, A Bruhn BMVC, 106, 2018 | 4 | 2018 |
| Data challenges in variational optical flow M Stoll | 1 | 2020 |
| Variational large displacement optical flow without feature matches M Stoll, D Maurer, A Bruhn Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018 | 1 | 2018 |
| LUKe and MIKe: learning from user knowledge and managing interactive knowledge extraction S Metzger, M Stoll, K Hose, R Schenkel Proceedings of the 21st ACM international conference on Information and …, 2012 | 1 | 2012 |
| Illumination-Aware Large Displacement Optical Flow M Stoll, D Maurer, S Volz, A Bruhn Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018 | | 2018 |
| FlowBrush: optical flow art K Kurzhals, M Stoll, A Bruhn, D Weiskopf Proceedings of the symposium on Computational Aesthetics, 1-9, 2017 | | 2017 |
| MIKE-Managing Interactive Knowlegde Extraction M Stoll Universität des Saarlandes Saarbrücken, 2012 | | 2012 |
| of Proceedings: LWA 2011: Technical Report; Report of the symposium" Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM M Stoll, K Hose, S Metzger, R Schenkel Otto von Guericke Universität, 2011 | | 2011 |
| Interaktive Wissensextraktion und Wissenssuche. M Stoll, K Hose, S Metzger, R Schenkel LWA, 205-206, 2011 | | 2011 |
Andres BruhnProfessor of Computer Science, University of Stuttgart, GermanyEmail confirmado em vis.uni-stuttgart.de
