This image shows Andrés Bruhn

Andrés Bruhn

Prof. Dr.-Ing.

Professor for Intelligent Systems
Dean of Studies
Institute for Visualization and Interactive Systems (VIS)
Research Group Computer Vision

Contact

+49 711 685 88439
+49 711 685 88340

Website
Business card (VCF)

Universitätsstraße 38
70569 Stuttgart
Deutschland
Room: 1.459

Office Hours

Friday, 15:45-16:45 (no appointment required)
Friday, 16:45-17:45 (Dean of Studies, with appointment)

  1. 2024

    1. Scheurer, Erik ; Schmalfuss, Jenny ; Lis, Alexander ; Bruhn, Andrés: Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow, Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) : IEEE/CVF, 2024
  2. 2023

    1. Mehl, Lukas ; Schmalfuss, Jenny ; Jahedi, Azin ; Nalivayko, Yaroslava ; Bruhn, Andrés: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, S. 4981–4991
    2. Schmalfuss, Jenny ; Mehl, Lukas ; Bruhn, Andrés: Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, S. 10106–10116
    3. Mehl, Lukas ; Jahedi, Azin ; Schmalfuss, Jenny ; Bruhn, Andrés: M-FUSE: Multi-frame Fusion for Scene Flow Estimation. In: Proc. Winter Conference on Applications of Computer Vision (WACV), Proc. Winter Conference on Applications of Computer Vision (WACV), 2023
    4. Schmalfuss, Jenny ; Scheurer, Erik ; Zhao, Heng ; Karantzas, Nikolaos ; Bruhn, Andres ; Labate, Demetrio: Blind image inpainting with sparse directional filter dictionaries for lightweight CNNs. In: Journal of Mathematical Imaging and Vision (JMIV), Journal of Mathematical Imaging and Vision (JMIV). Bd. 65 (2023), S. 323–339
    5. Jahedi, Azin ; Luz, Maximilian ; Rivinius, Marc ; Mehl, Lukas ; Bruhn, Andrés: MS-RAFT+: High Resolution Multi-Scale RAFT. In: International Journal of Computer Vision, International Journal of Computer Vision., Springer (2023), S. 1573–1405
    6. Schmalfuß, Jenny ; Mehl, Lukas ; Bruhn, Andrés: Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, S. 10106–10116
    7. Schmalfuß, Jenny ; Scheurer, Erik ; Zhao, Heng ; Karantzas, Nikolaos ; Bruhn, Andrés ; Labate, Demetrio: Blind image inpainting with sparse directional filter dictionaries for lightweight CNNs. In: Journal of Mathematical Imaging and Vision (JMIV), Journal of Mathematical Imaging and Vision (JMIV). Bd. 65 (2023), S. 323–339
    8. Mehl, Lukas ; Jahedi, Azin ; Schmalfuß, Jenny ; Bruhn, Andrés: M-FUSE: Multi-frame Fusion for Scene Flow Estimation. In: Proc. Winter Conference on Applications of Computer Vision (WACV), Proc. Winter Conference on Applications of Computer Vision (WACV), 2023
    9. Mehl, Lukas ; Schmalfuß, Jenny ; Jahedi, Azin ; Nalivayko, Yaroslava ; Bruhn, Andrés: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, S. 4981–4991
  3. 2022

    1. Krake, Tim ; Bruhn, Andrés ; Eberhardt, Bernhard ; Weiskopf, Daniel: Efficient and Robust Background Modeling with Dynamic Mode Decomposition. In: Journal of Mathematical Imaging and Vision (2022), Journal of Mathematical Imaging and Vision (2022). (2022)
    2. Jahedi, Azin ; Mehl, Lukas ; Rivinius, Marc ; Bruhn, Andrés: Multi-Scale RAFT: combining hierarchical concepts for learning-based optical flow estimation. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022, S. 1236–1240
    3. Schmalfuß, Jenny ; Mehl, Lukas ; Bruhn, Andrés: Attacking Motion Estimation with Adversarial Snow. In: Proc. ECCV Workshop on Adversarial Robustness in the Real World (AROW), Proc. ECCV Workshop on Adversarial Robustness in the Real World (AROW), 2022
    4. Schmalfuss, Jenny ; Mehl, Lukas ; Bruhn, Andrés: Attacking Motion Estimation with Adversarial Snow. In: Proc. ECCV Workshop on Adversarial Robustness in the Real World (AROW), Proc. ECCV Workshop on Adversarial Robustness in the Real World (AROW), 2022
    5. Philipp, Markus ; Bacher, Neal ; Sauer, Stefan ; Mathis-Ullrich, Franziska ; Bruhn, Andrés: From Chairs To Brains: Customizing Optical Flow For Surgical Activity Localization. In: Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) : IEEE, 2022, S. 1–5
    6. Schmalfuss, Jenny ; Scholze, Philipp ; Bruhn, Andrés: A perturbation-constrained adversarial attack for evaluating the robustness of optical flow. In: Avidan, S. ; Brostow, G. ; Cissé, M. ; Farinella, G. M. ; Hassner, T. (Hrsg.) ; Avidan, S. ; Brostow, G. ; Cissé, M. ; Farinella, G. M. ; Hassner, T. (Hrsg.): Proc. European Conference on Computer Vision (ECCV), Proc. European Conference on Computer Vision (ECCV). Bd. 13682 : Springer Nature Switzerland, 2022 — ISBN 978-3-031-20047-2, S. 183--200
    7. Schmalfuß, Jenny ; Scholze, Philipp ; Bruhn, Andrés: A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow. In: Proceedings of the European Conference on Computer Vision (ECCV), Proceedings of the European Conference on Computer Vision (ECCV). (2022)
  4. 2021

    1. Mehl, Lukas ; Beschle, Cedric ; Barth, Andrea ; Bruhn, Andrés: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. In: Proceedings of the International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Proceedings of the International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) : Springer, 2021, S. 140–152
  5. 2020

    1. Kurzhals, Kuno ; Rodrigues, Nils ; Koch, Maurice ; Stoll, Michael ; Bruhn, Andres ; 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). Stuttgart, Germany : ACM, 2020 — ISBN 9781450371339, S. 16:1-16:9
    2. Men, Hui ; Hosu, Vlad ; Lin, Hanhe ; Bruhn, Andrés ; Saupe, Dietmar: Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. In: Proceedings of the International Conference on Quality of Multimedia Experience (QoMEX), Proceedings of the International Conference on Quality of Multimedia Experience (QoMEX), 2020, S. 1–6
    3. Men, Hui ; Hosu, Vlad ; Lin, Hanhe ; Bruhn, Andrés ; Saupe, Dietmar: Subjective annotation for a frame interpolation benchmark using artefact amplification. In: Quality and User Experience, Quality and User Experience. Bd. 5 (2020), Nr. 1. — Article Number: 8
  6. 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 — ISBN 978-1-5386-8212-8, S. 1–6
  7. 2018

    1. 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
    2. 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
    3. 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
    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 — ISBN 978-3-030-01237-3, S. 575–592
  8. 2017

    1. Kurzhals, Kuno ; Stoll, Michael ; Bruhn, Andrés ; Weiskopf, Daniel: FlowBrush: Optical Flow Art. In: Proceedings of Computational Aesthetics 2017, Proceedings of Computational Aesthetics 2017, 2017
    2. 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
    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 — ISBN 978-3-319-58771-4, S. 550–562
    4. 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 — ISBN 978-3-319-78199-0, S. 79–92
    5. 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
    6. 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, 2017 — ISBN 978-3-319-58771-4, S. 537–549
    7. 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
  9. 2016

    1. 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
    2. Weickert, Joachim ; Grewenig, Sven ; Schroers, Christopher ; Bruhn, Andrés: Cyclic Schemes for PDE-based Image Analysis. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 118 (2016), Nr. 3
    3. 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
  10. 2015

    1. Ju, Yong-Chul ; Breuß, Michael ; Bruhn, Andrés: Variational Perspective Shape from Shading. In: Aujol, J.-F. ; Nikolova, M. ; Papadakis, N. (Hrsg.) ; Aujol, J.-F. ; Nikolova, M. ; Papadakis, N. (Hrsg.): Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015). Lecture Notes in Computer Science, Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015). Lecture Notes in Computer Science : Springer, 2015
    2. Bruhn, Andrés ; Imiya, Atsushi ; Leonardis, Ales ; Pajdla, Tomas: Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461). : Dagstuhl Reports 5(11): 36-61, 2015
    3. 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
  11. 2014

    1. Schmaltz, Christian ; Peter, Pascal ; Mainberger, Markus ; Huth, Franziska ; Weickert, Joachim ; Bruhn, Andrés: Understanding, optimising, and extending data compression with anisotropic diffusion. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 108 (2014), Nr. 3
    2. Bruhn, Andrés ; Pock, Thomas ; Tai, Xue-Cheng (Eds.) ; Kuiijper, A. ; Pock, T. ; Bredies, K. ; Bischof, H. (Hrsg.) ; Kuiijper, A. ; Pock, T. ; Bredies, K. ; Bischof, H. (Hrsg.): Efficient Algorithms for Global Optimisation Problems in Computer Vision, LNCS 8293. 8293. Aufl. : Springer, 2014
    3. 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
    4. Schmaltz, Christian ; Peter, Pascal ; Mainberger, Markus ; Ebel, Franziska ; Weickert, Joachim ; Bruhn, Andrés: Understanding, optimising, and extending data compression with anisotropic diffusion. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 108 (2014), Nr. 3
  12. 2013

    1. Persch, Nico ; Elhayek, Ahmed ; Welk, Martin ; Bruhn, Andrés ; Grewenig, Sven ; Böse, Katharina ; Kraegeloh, Annette ; Weickert, Joachim: Enhancing 3-D cell structures in confocal and STED microscopy: a joint model for interpolation, deblurring and anistropic smoothing. In: Measurement Science and Technology, Measurement Science and Technology. Bd. 24 (2013), Nr. 12
    2. Ju, Yong-Chul ; Tozza, Siliva ; Breuß, Michael ; Bruhn, Andrés ; Kleefeld, Andreas: Generalised perspective shape from shading with Oren-Nayar reflectance. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2013
    3. 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
    4. 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
    5. 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. Galliani, Silvano ; Ju, Yong-Chul ; Breuß, Michael ; Bruhn, Andrés: Generalised perspective shape from shading in spherical coordinates. In: Kuiijper, A. ; Pock, T. ; Bredies, K. ; Bischof, H. (Hrsg.) ; Kuiijper, A. ; Pock, T. ; Bredies, K. ; Bischof, H. (Hrsg.): Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2013). Lecture Notes in Computer Science, Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2013). Lecture Notes in Computer Science : Springer, 2013
  13. 2012

    1. Demetz, Oliver ; Weickert, Joachim ; Bruhn, Andrés ; Zimmer, Henning: Optic flow scale space. In: Bruckstein, A. ; ter Haar Romeny, B. ; Bronstein, A. ; Bronstein, M. (Hrsg.) ; Bruckstein, A. ; ter Haar Romeny, B. ; Bronstein, A. ; Bronstein, M. (Hrsg.): Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2011). Lecture Notes in Computer Science, Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2011). Lecture Notes in Computer Science. Bd. 6667 : Springer, 2012
    2. Valgaerts, Levi ; Bruhn, Andrés ; Mainberger, Markus ; Weickert, Joachim: Dense versus sparse approaches for estimating the fundamental matrix. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 96 (2012), Nr. 2
    3. Valgaerts, Levi ; Wu, Chenglei ; Bruhn, Andrés ; Seidel, Hans-Peter ; Theobalt, Christian: Lightweight Binocular Facial Performance Capture under Uncontrolled Lighting. In: ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia). Bd. 31 (2012), Nr. 6
    4. Schroers, Christopher ; Zimmer, Henning ; Valgaerts, Levi ; Bruhn, Andrés ; Demetz, Oliver ; Weickert, Joachim: Anisotropic range image integration. Awarded a DAGM-OAGM 2012 Paper Prize. In: Pinz, A. ; Pock, T. ; Bischof, H. ; Leberl, F. (Hrsg.) ; Pinz, A. ; Pock, T. ; Bischof, H. ; Leberl, F. (Hrsg.): Proceedings of German and Austrian Pattern Recognition Symposium (DAGM-OAGM 2012). Lecture Notes in Computer Science, Proceedings of German and Austrian Pattern Recognition Symposium (DAGM-OAGM 2012). Lecture Notes in Computer Science. Bd. 7476 : Springer, 2012
    5. Gwosdek, Pascal ; Grewenig, Sven ; Bruhn, Andrés ; Weickert, Joachim: Theoretical foundations of Gaussian convolution by extended box filtering. In: Bruckstein, A. ; ter Haar Romeny, B. ; Bronstein, A. ; Bronstein, M. (Hrsg.) ; Bruckstein, A. ; ter Haar Romeny, B. ; Bronstein, A. ; Bronstein, M. (Hrsg.): Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2011). Lecture Notes in Computer Science, Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2011). Lecture Notes in Computer Science. Bd. 6667 : Springer, 2012
    6. Ju, Yong-Chul ; Breuß, Michael ; Bruhn, Andrés ; Galliani, Silvano: Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model. In: Proceedings of the British Machine Vision Conference (BMVC), Proceedings of the British Machine Vision Conference (BMVC) : BMVA Press, 2012
    7. Lau Raket, Lars ; Roholm, Lars ; Bruhn, Andrés ; Weickert, Joachim: Motion compensated frame interpolation with a symmetrical optical flow constraint. In: George, B. ; Richard, B. ; Darko, K. ; Bharam, P. (Hrsg.) ; George, B. ; Richard, B. ; Darko, K. ; Bharam, P. (Hrsg.): Proceedings of International Symposium on Visual Computing (ISVC 2012). Lecture Notes in Computer Science, Proceedings of International Symposium on Visual Computing (ISVC 2012). Lecture Notes in Computer Science. Bd. 7431 : Springer, 2012
  14. 2011

    1. Volz, Sebastian ; Bruhn, Andrés ; Valgaerts, Levi ; Zimmer, Henning: Modeling temporal coherence for optical flow. In: Press, I. C. S. (Hrsg.) ; Press, I. C. S. (Hrsg.): Proceedings of IEEE International Conference on Computer Vision (ICCV 2011), Proceedings of IEEE International Conference on Computer Vision (ICCV 2011). Bd. 2011 : IEEE Computer Society Press, 2011
    2. Faubel, Friedrich ; Georges, Munir ; Kumatani, Kenichi ; Bruhn, Andrés ; Klakow, Dietrich: Improving hands-free speech recognition in a car through audio-visual voice activity detection. In: Proceedings of Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2011), Proceedings of Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2011) : IEEE Xplore, 2011
    3. Zimmer, Henning ; Bruhn, Andrés ; Weickert, Joachim: Optic flow in harmony. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 93 (2011), Nr. 3
    4. Zimmer, Henning ; Bruhn, Andrés ; Weickert, Joachim: Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement. In: Computer Graphics Forum (Proceedings of EUROGRAPHICS), Computer Graphics Forum (Proceedings of EUROGRAPHICS). Bd. 30 (2011), Nr. 2
    5. Mainberger, Markus ; Bruhn, Andrés ; Weickert, Joachim ; Forchhammer, Soren: Edge-based compression of cartoon-like images with homogeneous diffusion. In: Pattern Recognition, Pattern Recognition. Bd. 44 (2011), Nr. 9
    6. Bruhn, Andrés ; Imiya, Atsushi ; Leonardis, Ales ; Pajdla, Tomas: Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471)., 2011
  15. 2010

    1. Hauger, C. ; Weigand, H. ; Weickert, Joachim ; Bruhn, Andrés: Medizinisch optisches Beobachtungsgerät und Verfahren zum Erstellen einer stereoskopischen Zwischenperspektive in einem derartigen Gerät. In: Patent DE 10 20008 024 732 B4 2010.04.01, Patent DE 10 20008 024 732 B4 2010.04.01. Bd. 2010 (2010)
    2. Gwosdek, Pascal ; Zimmer, Henning ; Grewenig, Sven ; Weickert, Joachim ; Bruhn, Andrés: A highly efficient GPU implementation for variational optic flow based on the Euler-Lagrange framework. In: Kutulakos, K. (Hrsg.) ; Kutulakos, K. (Hrsg.): Proceedings of ECCV Workshop on Computer Vision with GPUs (CVGPU 2010)., Proceedings of ECCV Workshop on Computer Vision with GPUs (CVGPU 2010). : Springer, 2010
    3. Schmaltz, Christian ; Gwosdek, Pascal ; Bruhn, Andrés ; Weickert, Joachim: Electrostatic halftoning. In: Computer Graphics Forum, Computer Graphics Forum. Bd. 29 (2010), Nr. 8
    4. Valgaerts, Levi ; Bruhn, Andrés ; Zimmer, Henning ; Weickert, Joachim ; Stoll, Christian ; Theobalt, Christian: Joint estimation of motion, structure and geometry from stereo sequences. In: Danilidis, K. ; Maragos, P. ; Paragios, N. (Hrsg.) ; Danilidis, K. ; Maragos, P. ; Paragios, N. (Hrsg.): Proceedings of European Conference on Computer Vision (ECCV 2010). Lecture Notes in  Computer Science, Proceedings of European Conference on Computer Vision (ECCV 2010). Lecture Notes in  Computer Science. Bd. 6314 : Springer, 2010
    5. Gwosdek, Pascal ; Weickert, Joachim ; Bruhn, Andrés: Variational optic flow on the Sony PlayStation 3. In: Journal of Real-Time Image Processing, Journal of Real-Time Image Processing. Bd. 5 (2010), Nr. 3
    6. Grewenig, Sven ; Weickert, Joachim ; Bruhn, Andrés: From box filtering to fast explicit diffusion. Awarded the DAGM 2010 Main Prize (Best Paper Award). In: Goesele, M. ; Roth, S. ; Kujper, A. ; Schiele, B. ; Schindler, K. (Hrsg.) ; Goesele, M. ; Roth, S. ; Kujper, A. ; Schiele, B. ; Schindler, K. (Hrsg.): Proceedings of German Pattern Recognition Symposium (DAGM 2010). Lecture Notes in Computer Science, Proceedings of German Pattern Recognition Symposium (DAGM 2010). Lecture Notes in Computer Science. Bd. 6376 : Springer, 2010
  16. 2009

    1. Ghodstinat, M. ; Bruhn, Andrés ; Weickert, Joachim: Deinterlacing with motion-compensated anisotropic diffusion. In: Cremers, D. ; Rosenhahn, B. ; Yuille, A. ; Schmidt, F. R. (Hrsg.) ; Cremers, D. ; Rosenhahn, B. ; Yuille, A. ; Schmidt, F. R. (Hrsg.): Statistical and Geometrical Approaches to Visual Motion Analysis. Lecture Notes in Computer Science, Statistical and Geometrical Approaches to Visual Motion Analysis. Lecture Notes in Computer Science. 5604. Aufl. : Springer, 2009
    2. Zimmer, Henning ; Bruhn, Andrés ; Weickert, Joachim ; Valgaerts, Levi ; Salgado, Agustin ; Rosenhahn, Bodo ; Seidel, Hans-Peter: Complementary optic flow. In: Cremers, D. ; Boykov, Y. ; Blake, A. ; Schmidt, F. R. (Hrsg.) ; Cremers, D. ; Boykov, Y. ; Blake, A. ; Schmidt, F. R. (Hrsg.): Proceedings of International Conference on Energy Minimizing Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009). Lecture Notes in Computer Science, Proceedings of International Conference on Energy Minimizing Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009). Lecture Notes in Computer Science. Bd. 5681 : Springer, 2009
    3. Schmaltz, Christian ; Weickert, Joachim ; Bruhn, Andrés: Beating the quality of JPEG 200 with anisotropic diffusion. In: Denzler, J. ; Notni, G. ; Süße, H. (Hrsg.) ; Denzler, J. ; Notni, G. ; Süße, H. (Hrsg.): Proceedings of German Pattern Recognition Symposium (DAGM 2009). Lecture Notes in Computer Science, Proceedings of German Pattern Recognition Symposium (DAGM 2009). Lecture Notes in Computer Science. Bd. 5748 : Springer, 2009
  17. 2008

    1. Bruhn, Andrés: Bewegungsschätzung in Echtzeit mit Optimierungsansätzen. In: it - Information Technology, it - Information Technology. Bd. 50, Oldenbourg Wissenschaftsverlag (2008), Nr. 1
    2. Zimmer, Henning ; Bruhn, Andrés ; Valgaerts, Levi ; Breuß, Michael ; Weickert, Joachim ; Rosenhahn, Bodo ; Seidel, Hans-Peter: PDE-based anisotropic disparity-driven stereo vision. In: Deussen, O. ; Keim, D. A. ; Saupe, D. (Hrsg.) ; Deussen, O. ; Keim, D. A. ; Saupe, D. (Hrsg.): Proceedings of International Workshop on Vision, Modelling, and Visualization (VMV 2008), Proceedings of International Workshop on Vision, Modelling, and Visualization (VMV 2008). Bd. 2008 : AKA Heidelberg, 2008
    3. Valgaerts, Levi ; Bruhn, Andrés ; Weickert, Joachim: A variational model for the joint recovery of the optical flow and the fundamental matrix. In: Rigoll, G. (Hrsg.) ; Rigoll, G. (Hrsg.): Proceedings of German Pattern Recognition Symposium (DAGM 2008). Lecture Notes in Computer Science, Proceedings of German Pattern Recognition Symposium (DAGM 2008). Lecture Notes in Computer Science. Bd. 5096 : Springer, 2008
    4. Mainberger, Markus ; Weickert, Joachim ; Bruhn, Andrés: Is dense optical flow useful to compute the fundamental matrix? Update with errata. In: Campilho, A. ; Kamel, M. (Hrsg.) ; Campilho, A. ; Kamel, M. (Hrsg.): Proceedings of International Conference on Image Analysis and Recognition (ICIAR 2008). Lecture Notes in Computer Science, Proceedings of International Conference on Image Analysis and Recognition (ICIAR 2008). Lecture Notes in Computer Science. Bd. 5112 : Springer, 2008
    5. Galic, Irena ; Weickert, Joachim ; Welk, Martin ; Bruhn, Andrés ; Belyaev, A. ; Seidel, Hans-Peter: Image compression with anisotropic diffusion. In: Journal of Mathematical Imaging and Vision, Journal of Mathematical Imaging and Vision. Bd. 31 (2008)
    6. Gwosdek, Pascal ; Bruhn, Andrés ; Weickert, Joachim: High performance parallel optical flow algorithms on the Sony Playstation 3. In: Deussen, O. ; Keim, D. ; Saupe, D. (Hrsg.) ; Deussen, O. ; Keim, D. ; Saupe, D. (Hrsg.): Proceedings of International Workshop on Vision, Modeling, and Visualization (VMV 2008), Proceedings of International Workshop on Vision, Modeling, and Visualization (VMV 2008). Bd. 2008 : AKA, 2008
  18. 2007

    1. Burgeth, Bernhard ; Bruhn, Andrés ; Didas, Stephan ; Weickert, Joachim ; Welk, Martin: Morphology for tensor data: Ordering versus PDE-based approach. In: Image and Vision Computing, Image and Vision Computing. Bd. 25 (2007), Nr. 4
    2. Vogel, Oliver ; Bruhn, Andrés ; Weickert, Joachim ; Didas, Stephan: Direct shape-from-shading with adaptive higher order regularisation. In: Sgallari, F. ; Murli, F. ; Paragios, N. (Hrsg.) ; Sgallari, F. ; Murli, F. ; Paragios, N. (Hrsg.): Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007). Lecture Notes in Computer Science, Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007). Lecture Notes in Computer Science. Bd. 4485 : Springer, 2007
    3. Bruhn, Andrés: Variationsansätze zur Bewegungsschätzung: Präzise Modellierung und effiziente Numerik. In: et al., D. W. (Hrsg.) ; et al., D. W. (Hrsg.): Ausgezeichnete Informatikdissertationen 2006. GI-Edition Lecture Notes in Informatics (LNI), Ausgezeichnete Informatikdissertationen 2006. GI-Edition Lecture Notes in Informatics (LNI) : Gesellschaft für Informatik, 2007
    4. Mileva, Yana ; Bruhn, Andrés ; Weickert, Joachim: Illumination-robust variational optical flow with photometric invariants. In: Hamprecht, F. A. ; Schnörr, C. ; Jähne, B. (Hrsg.) ; Hamprecht, F. A. ; Schnörr, C. ; Jähne, B. (Hrsg.): Proceedings of German Pattern Recognition Symposium (DAGM 2007). Lecture Notes in Computer Science, Proceedings of German Pattern Recognition Symposium (DAGM 2007). Lecture Notes in Computer Science. Bd. 4713 : Springer, 2007
    5. Burgeth, Bernhard ; Papenberg, Nils ; Bruhn, Andrés ; Welk, Martin ; Weickert, Joachim: Mathematical morphology for matrix fields induced by the Loewner ordering in higher dimensions. In: Signal Processing, Signal Processing. Bd. 87 (2007), Nr. 2
    6. Demetz, Oliver ; Weickert, Joachim ; Welk, Martin ; Bruhn, Andrés: Beauty with variational methods: An optic flow approach to hairstyle simulation. In: Sgallari, f. ; Murli, A. ; Paragios, N. (Hrsg.) ; Sgallari, f. ; Murli, A. ; Paragios, N. (Hrsg.): Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007). Lecture Notes in Computer Science, Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2007). Lecture Notes in Computer Science. Bd. 4485 : Springer, 2007
    7. Slesareva, Natalia ; Bühler, T. ; Hagenburg, Kai ; Weickert, Joachim ; Bruhn, Andrés ; Karni, Zachi ; Seidel, Hans-Peter: Robust variational reconstruction from multiple views. In: Esboll, B. K. ; Pedersen, K. S. (Hrsg.) ; Esboll, B. K. ; Pedersen, K. S. (Hrsg.): Proceedings of Scandinavian Conference on Image Analysis (SCIA 2007). Lecture Notes in Computer Science, Proceedings of Scandinavian Conference on Image Analysis (SCIA 2007). Lecture Notes in Computer Science. Bd. 4522 : Springer, 2007
  19. 2006

    1. Papenberg, Nils ; Bruhn, Andrés ; Brox, Thomas ; Didas, Stephan ; Weickert, Joachim: Highly accurate optic flow computation with theoretically justified warping. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 67 (2006), Nr. 2
    2. Brox, Thomas ; Bruhn, Andrés ; Weickert, Joachim: Variational motion segmentation with level sets. In: Bischof, H. ; Leonardis, A. ; Pinz, A. (Hrsg.) ; Bischof, H. ; Leonardis, A. ; Pinz, A. (Hrsg.): Proceedings of European Conference on Computer Vision (ECCV 2006). Lecture Notes in Computer Science, Proceedings of European Conference on Computer Vision (ECCV 2006). Lecture Notes in Computer Science. Bd. 3951 : Springer, 2006
    3. Mrázek, Pavel ; Weickert, Joachim ; Bruhn, Andrés: On robust estimation and smoothing with spatial and tonal kernels. In: Klette, R. ; Kozera, R. ; Noakes, L. ; Weickert, J. (Hrsg.) ; Klette, R. ; Kozera, R. ; Noakes, L. ; Weickert, J. (Hrsg.): Geometric Properties from Incomplete Data, Geometric Properties from Incomplete Data : Springer, 2006
    4. Weickert, Joachim ; Bruhn, Andrés ; Brox, Thomas ; Papenberg, Nils: A survey on variational optic flow methods for small displacements. In: Scherzer, O. (Hrsg.) ; Scherzer, O. (Hrsg.): Mathematical models for registration and applications to medical imaging, Mathematical models for registration and applications to medical imaging : Springer, 2006
    5. Bruhn, Andrés ; Weickert, Joachim ; Kohlberger, Timo ; Schnörr, Christoph: A multigrid platform for real-time motion computation with discontinuity-preserving variational methods. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 70 (2006), Nr. 3
    6. Bruhn, Andrés ; Weickert, Joachim: A confidence measure for variational optic flow methods. In: Klette, R. ; Kozera, R. ; Noakes, L. ; Weickert, J. (Hrsg.) ; Klette, R. ; Kozera, R. ; Noakes, L. ; Weickert, J. (Hrsg.): Geometric Properties from Incomplete Data, Geometric Properties from Incomplete Data : Springer, 2006
    7. Bruhn, Andrés: Variational Optic Flow Computation: Accurate Modelling and Efficient Numerics. Awarded the 2006 Outstanding Dissertation Award by the German Computer Society(GI). Awarded the 2006 Dr. Eduard Martin Prize by the Saarland University, Department of Mathematics and Computer Science, Saarland University, 2006
  20. 2005

    1. Bruhn, Andrés ; Weickert, Joachim ; Schnörr, Christoph: Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods. - Update with errata. In: International Journal of Computer Vision, International Journal of Computer Vision. Bd. 61 (2005), Nr. 3
    2. Burgeth, Bernhard ; Papenberg, Nils ; Bruhn, Andrés ; Welk, Martin ; Feddern, Christian ; Weickert, Joachim: Morphology for higher-dimensional tensor data via Loewner ordering. In: Ronse, C. ; Najman, L. ; Decencière, E. (Hrsg.) ; Ronse, C. ; Najman, L. ; Decencière, E. (Hrsg.): Proceedings of International Symposium on Mathematical Morphology (ISMM 2005), Proceedings of International Symposium on Mathematical Morphology (ISMM 2005). Bd. 30 : Springer, 2005
    3. Slesareva, Natalia ; Bruhn, Andrés ; Weickert, Joachim: Optic flow goes stereo: A variational method for estimating discontinuity-preserving dense desparity maps. Awarded a DAGM 2005 Paper Prize. In: Kropatsch, W. ; Sablatnig, R. ; Hanbury, A. (Hrsg.) ; Kropatsch, W. ; Sablatnig, R. ; Hanbury, A. (Hrsg.): Proceedings of German Pattern Recognition Symposium (DAGM 2005). Lecture Notes in Computer Science, Proceedings of German Pattern Recognition Symposium (DAGM 2005). Lecture Notes in Computer Science. Bd. 3663 : Springer, 2005
    4. Galic, Irena ; Weickert, Joachim ; Welk, Martin ; Bruhn, Andrés ; Belyaev, A. ; Seidel, Hans-Peter: Towards PDE-based image compression. In: Paragios, N. ; Faugeras, O. ; Chan, T. ; Schnörr, C. (Hrsg.) ; Paragios, N. ; Faugeras, O. ; Chan, T. ; Schnörr, C. (Hrsg.): Proceedings of International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision (VLSM 2005). Lecture Notes in Computer Science, Proceedings of International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision (VLSM 2005). Lecture Notes in Computer Science. Bd. 3752 : Springer, 2005
    5. Bruhn, Andrés ; Weickert, Joachim ; Feddern, Christian ; Kohlberger, Timo ; Schnörr, Christoph: Variational optic flow computation in real-time. In: IEEE Transactions on Image Processing, IEEE Transactions on Image Processing. Bd. 14, IEEE Computer Society Press (2005), Nr. 5
    6. Bruhn, Andrés ; Weickert, Joachim ; Kohlberger, Timo ; Schnörr, Christoph: Discontinuity-preserving computation of variational optic flow in real-time. In: Kimmel, R. ; Sochen, N. ; Weickert, J. (Hrsg.) ; Kimmel, R. ; Sochen, N. ; Weickert, J. (Hrsg.): Proceedings of International Conference on Scale-Space and PDE Methods in Computer Vision (Scale Space 2005). Lecture Notes in Computer Science, Proceedings of International Conference on Scale-Space and PDE Methods in Computer Vision (Scale Space 2005). Lecture Notes in Computer Science. Bd. 3459 : Springer, 2005
    7. Kohlberger, Timo ; Schnörr, Christoph ; Bruhn, Andrés ; Weickert, Joachim: Domain decomposition for nonlinear problems: a control-theoretic approach : University of Mannheim, 2005
    8. Bruhn, Andrés ; Weickert, Joachim: Towards ultimate motion estimation: Combining highest accuracy with real-time performance. In: Proceedings of IEEE International Conference on Computer Vision (ICCV 2005), Proceedings of IEEE International Conference on Computer Vision (ICCV 2005). Bd. 1 : IEEE Computer Society Press, 2005
    9. Kohlberger, Timo ; Schnörr, Christoph ; Bruhn, Andrés ; Weickert, Joachim: Domain decomposition for variational optical flow computation. In: IEEE Transactions on Image Processing, IEEE Transactions on Image Processing. Bd. 14, IEEE Computer Society Press (2005), Nr. 8
 

Computer Vision

  • Motion Estimation
  • Stereo Reconstruction
  • Shape-from-Shading

Machine Learning

  • Neural Networks
  • Adversarial Attacks
  • Generalization

Image Processing

  • Image Enhancement
  • Image Inpainting
  • Image and Video Compression

  Scientific Computing

  • Variational Methods
  • PDEs
  • Multigrid Methods

Fields of Applications

  • Software/Movie Industry
  • Driver Assistance Systems
  • Medicine and Pharmacy
  • Material Sciences

 

Course offer of VIS
Course offer at VIS on C@MPUS

Concerning teaching, all Institute's departments contribute to the training (in the bachelor and master programs) of computer science in intelligent systems.

Andrés Bruhn is a full professor of computer science at the University of Stuttgart where he heads the Computer Vision group at the Institute for Visualization and Interactive Systems (VIS). He received a diploma degree in Computer Engineering from the University of Mannheim, Mannheim, Germany (2001) and a Ph.D. degree in Computer Science from Saarland University, Saarbrücken, Germany (2006). After working as a postdoctoral researcher (2006-2007) he was associated as an assistant professor with the Mathematical Image Analysis Group at Saarland University, Saarbrücken, Germany (2007-2012). During this time he spent two months as a visiting reasearcher at the University of Las Palmas, Gran Canaria, Spain (2009) and built up an independent research group on Vision and Image Processing within the Cluster of Excellence " Multimodal Computing and Interaction" (2010-2012). His research interests include various areas in the field of computer vision and image processing such as 2D and 3D motion estimation, stereo reconstruction, shape-from-shading, image and video enhancement as well as data compression taking a holistic view regarding, accuracy, efficiency and robustness. In these fields he published over 100 refereed papers with over 11000 citations and an h-index of 40. Andrés Bruhn served as general chair for GCPR, as area chair for ECCV and on the programme committee of numereous conferences including ICCV, ECCV, and CVPR. Moreover, he regularly reviews for all major computer vision journals. His publications received several awards, among them the 2004 Best Paper Award of the European Conference on Computer Vision (ECCV), the 2006 Olympus Prize (German Pattern Recognition Award) of the German Pattern Recognition Society (DAGM), the 2010 Best Paper Award of the German Conference on Pattern Recognition (GCPR) as well as the 2006 GI Outstanding Dissertation Award of the German Society of Computer Science (GI), the Swiss Computer Science Society (SI), the Austrian Computer Society (OCG) and the German Chapters of the ACM (GChACM). Moreover, he was nominated as one of two national finalists for the 2008 Cor Baayen Award of the European Research Consortium for Informatics and Mathematics (ERCIM). Recently, he was awarded the 2014 Koenderink Prize at the European Conference on Computer Vision (ECCV) for fundamental contributions in computer vision.

2024 - ECCV Outstanding Area Chair Award
           awarded by the European Conference on Computer Vision

2022 - ECCV Robust Vision Challenge Award
           Winner of the Category "Optical Flow"
           (with A. Jahedi, M.Luz, M. Rivinius, and L.Mehl)
           awarded by the ECCV Robust Vision Challenge Workshop

2022 - ECCV AROW Best Paper Award
           (with J. Schmalfuss and L.Mehl)
           awarded by the ECCV Workshop on
          Adversarial Robustness in the Real World

2019 - University of Stuttgart Publication Award
           (with D.Maurer, Y.C.Ju, and M.Breuß)
           awarded by the University of Stuttgart

2018 - CVPR Robust Vision Challenge Runner-Up Award
           Winner of the Category "Optical Flow"
           (with D.Maurer)
           awarded by the CVPR Robust Vision Challenge Workshop 

2017 - EXPRESSIVE Best Paper Award
           for Fundamental Contributions in Computer Vision
           (with K.Kurzhals, M.Stoll, and D.Weiskopf)

2014 - Koenderink Prize
           for Fundamental Contributions in Computer Vision
           (with T.Brox, N.Papenberg, and J.Weickert)
           awarded by the European Conference on Computer Vision

2014 - ECCV Outstanding Reviewer Award
           awarded by the European Conference on Computer Vision

2012 - DAGM-OAGM Paper Award
           (with C.Schroers, H.Zimmer, L.Valgaerts, O.Demetz and J.Weickert)
           awarded by the German Pattern Recognition Society
           and the Austrian Pattern Recognition Society

2011 - ICCV Outstanding Reviewer Award
           awarded by the International Conference on Computer Vision

2010 - ACCV Outstanding Reviewer Award
           awarded by the Asian Conference on Computer Vision

2010 - DAGM Main Prize (Best Paper Award)
           (with S.Grewenig and J.Weickert)
           awarded by the German Pattern Recognition Society

2008 - ECCV Outstanding Reviewer Award
           awarded by the European Conference on Computer Vision

2008 - ERCIM Cor Baayen Award Finalist
           nominated by the European Research Consortium for Informatics
           and Mathematics

2008 - Excellence in Teaching Award
           awarded by the Computer Science Student Council of Saarland University

2007 - Dr. Eduard Martin Prize
           awarded by the Saarland University

2006 - GI Outstanding Dissertation Award
           awarded by the German Computer Science Society
           the Swiss Computer Science Society
           the Austrian Computer Society
           and the German Chapter of the ACM

2006 - Olympus Prize (German Pattern Recognition Award)
           awarded by the German Pattern Recognition Society

2005 - DAGM Paper Award
           (with N.Slesareva and J.Weickert)
           awarded by the German Pattern Recognition Society

2004 -  Best Paper Award
           (with T.Brox, N.Papenberg, and J.Weickert)
           awarded by the European Conference on Computer Vision

2002 - DAGM Paper Award
           (with J.Weickert and C.Schnörr)
           awarded by the German Pattern Recognition Society

2017 - German Conference on Pattern Recognition (GCPR, PC)

2017 - International Conference on Scale Space and Variational Methods
          in Computer Vision (SSVM, PC)

2016 - British Machine Vision Conference (BMVC, PC + Session Chair)

2016 - German Conference on Pattern Recognition (GCPR, PC)

2015 - International Conference on Scale Space and Variational Methods
          in Computer Vision (SSVM, PC)

2015 - German Conference on Pattern Recognition (GCPR, PC)

2015 - International Conference on Energy Minimization Methods in Computer Vision
          and Pattern Recognition (EMMCVPR, PC)

2014 - European Conference on Computer Vision (ECCV, PC)
          Awarded an Outstanding Reviewer Award

2014 - German Conference on Pattern Recognition (GCPR, PC)

2014 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, PC)

2013 - International Workshop on Vision, Modeling and Visualization (VMV, PC)

2013 - German Conference on Pattern Recognition (GCPR, AC + Session Chair)

2013 - International Conference on Energy Minimization Methods in Computer Vision
          and Pattern Recognition (EMMCVPR, PC)

2013 - International Conference on Scale Space and Variational Methods
          in Computer Vision (SSVM, PC)

2012 - Asian Conference on Computer Vision (ACCV, PC + Session Chair)

2012 - German Conference on Pattern Recognition (DAGM, AC + Session Chair)

2012 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, PC)

2011 - IEEE International Conference on Computer Vision (ICCV, PC)
          Awarded an Outstanding Reviewer Award

2011 - International Conference on Energy Minimization Methods in Computer Vision
          and Pattern Recognition (EMMCVPR, PC)

2011 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, PC)

2010 - Asian Conference on Computer Vision (ACCV, PC)
          Awarded an Outstanding Reviewer Award

2010 - European Conference on Computer Vision (ECCV, PC)

2010 - International Workshop on Vision, Modeling and Visualization (VMV, PC)

2010 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, PC)

2010 - International Conference on Computer Vision Theory and Applications (VISAPP, PC)

2009 - International Workshop on Vision, Modeling and Visualization (VMV, PC)

2009 - International Conference on Energy Minimization Methods in Computer Vision
          and Pattern Recognition (EMMCVPR, PC + Session Chair)

2009 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, PC)

2009 - International Conference on Computer Vision Theory and Applications (VISAPP, PC)

2008 - European Conference on Computer Vision (ECCV, PC)
          Awarded an Outstanding Reviewer Award

2008 - International Workshop on Vision, Modeling and Visualization (VMV, PC)

2008 - Tribute Workshop in Honour of Professor Peter Johansen

2007 - IEEE International Conference on Computer Vision (ICCV, PC)

2007 - International Workshop on Vision, Modeling and Visualization (VMV, PC)

2007 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, RC)

2007 - Asian Conference on Computer Vision (ACCV, PC)

2006 - IEEE Conference on Computer Vision and Pattern Recognition (CVPR, PC)

2006 - European Conference on Computer Vision (ECCV, PC)

National Science Foundations

  • Chilean Science Foundation (FONDECYT)
  • German Research Foundation (DFG)
  • Israel Science Foundation (ISF)
  • Research Foundation Flanders (FWO)


Journals

Conferences

  • IEEE International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • Asian Conference on Computer Vision (ACCV)
  • International Conference and Exhibition on Computer Graphics and Interactive Techniques (SIGGRAPH)
  • Conference of the European Association for Computer Graphics (EUROGRAPHICS)
  • Conf. and Exhibition on Computer Graphics and Interactive Techniques Asia (SIGGRAPH Asia)
  • Int. Conference on Scale Space and Variational Methods in Computer Vision (SSVM)
  • Int. Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)
  • International Conference on Computer Analysis of Images and Patterns (CAIP)
  • International Conference on Computer Vision Theory and Applications (VISAPP)
  • IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT)
  • German Conference on Pattern Recognition (GCPR, DAGM)
  • Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)
  • IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision (VLSM)
  • International Workshop on Vision, Modelling and Visualization (VMV)
 
  • DFG grant "Highly Accurate and Real-time Close 3D Reconstruction from Stereo Pairs and Stereo Sequences" (2006-2001, #17445064)
  • EXC-MMCI Independent Research Group "Vision and Image Processing" (2010-2012)
  • DFG grant "Variational Methods for the Fusion of Shape-from-Shading and Stereo" (2012-2017, #214118604)
  • SFB-TRR 161"Quantitative Methods for Visual Computing"
    Project B04 "Adaptive Algorithms for Motion Estimation" (2015-2027, #251654672)
    Further information concerning SFB TRR 161
  • DFG grant " Robust Optical Flow" (2024-2027, #533085500)
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