2023 ICVSS Best Presentation Prize
At the International Computer Vision Summer School 2023 (ICVSS) in Sicily, Italy, Jenny Schmalfuss was awarded a best presentation prize for her work on adversarial weather for motion estimation. The corresponding paper was published shorftly after the summer school at the International Conference on Computer Vision (ICCV)
J. Schmalfuss, L. Mehl and A. Bruhn:
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation.
In Proc. International Conference on Computer Vision (ICCV), 2023.
In total, three presentations prizes were award at the summer school which accepted 170 out of 614 applications.
2022 ECCV Robust Vision Challenge Award
At the ECCV 2022 Robust Vision Challenge, Azin Jahedi, Maximilian Luz, Marc Rivinius, Lukas Mehl and Andrés Bruhn have been awarded the prize for the winner in the category optical flow for the algorithm published in
A. Jahedi, M. Luz, M. Rivinius, L. Mehl and A. Bruhn:
High Resolution Multi-Scale RAFT.
In ArXiV Preprint Nr. 2210.16900, 2022.
A more detailed description of the winning algorithm can be found in the invited journal paper:
A. Jahedi, M. Luz, M. Rivinius, L. Mehl and A. Bruhn:
MS-RAFT+: High Resolution Multi-Scale RAFT.
International Journal of Computer Vision (IJCV), 2023, accepted for publication.
2022 ECCV AROW Best Paper Award
At the ECCV 2022 Workshop on Adversarial Robustness in the Real World, Jenny Schmalfuss, Lukas Mehl and Andrés Bruhn have received a best paper award for the paper
J. Schmalfuss, L. Mehl and A. Bruhn:
Attacking Motion Estimation with Adversarial Snow.
In European Conference on Computer Vision AROW Workshop, 2022
(also available as ArXiV Preprint Nr. 2210.1124).
2019 University of Stuttgart Publication Award
At the Research Day 2020 of the University of Stuttgart, Daniel Maurer, Yong-Chul Ju, Michael Breuß and Andrés Bruhn have been awarded the University of Stuttgart Publication Award of the Faculty of Computer Science, Electrical Engineering and Information Technology for the paper
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 (IJCV), 2018.
2018 CVPR Robust Vision Challenge Runner-Up Award
At the CVPR 2018 Robust Vision Challenge, Daniel Maurer and Andrés Bruhn have been awarded the runner-up award in the category optical flow for the algorithm published in
D. Maurer, A. Bruhn:
ProFlow: Learning to Predict Optical Flow.
In Proc. British Machine Vision Conference (BMVC).
BMVA Press, 2018.
2017 EXPRESSIVE Best Paper Award
At the 2017 Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH), a best paper award has been assigned to the paper
K. Kurzhals, M. Stoll, A. Bruhn, D. Weiskopf:
FlowBrush: Optical Flow Art.
In H. Winnemoeller, L. Bartram (Eds.): Proc. Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering, ACM Digital Library, 2017.
2014 ECCV Koenderink Prize
At the 2014 European Conference on Computer Vision (ECCV), Thomas Brox, Andrés Bruhn, Nils Papenberg, and Joachim Weickert have received the Koenderink Prize for Fundamental Contributions in Computer Vision. This test of time award was given for their ECCV 2004 paper
T. Brox, A. Bruhn, N. Papenberg, J. Weickert:
High accuracy optical flow estimation based on a theory for warping.
In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004.
Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 25-36, 2004.
Until March 2023 it has been cited over 3500 times.
2014 ECCV Outstanding Reviewer Award
At the 2014 European Conference on Computer Vision (ECCV) an outstanding reviewer award was awarded to Andrés Bruhn for his work as programme committee member.
2012 DAGM-OAGM Paper Award
At the 2012 Annual Symposium of the German Pattern Recognition Society (DAGM) and the Austrian Pattern Recognition Society (OAGM), a paper award has been assigned to the paper
C. Schroers, H. Zimmer, L. Valgaerts, A. Bruhn, O. Demetz, J. Weickert:
Anistropic range image integration.
In A. Pinz, T. Pock, H. Bischof, F. Leberl (Eds): Pattern Recognition.
Lecture Notes in Computer Science, Vol. 7476, Springer, Berlin, 73-82, 2012.
2011 ICCV Outstanding Reviewer Award
At the 2011 International Conference on Computer Vision (ICCV) an outstanding reviewer award was awarded to Andrés Bruhn for his work as programme committee member.
2010 ACCV Outstanding Reviewer Award
At the 2010 Asian Conference on Computer Vision (ACCV) an outstanding reviewer award was awarded to Andrés Bruhn for his work as programme committee member.
2010 DAGM Main Prize
At the 2010 Annual Symposium of the German Pattern Recognition Society (DAGM), the best paper award (main prize) has been assigned to the paper
S. Grewenig, J. Weickert, A. Bruhn:
From box filtering to fast explicit diffusion.
In M. Goesele, S. Roth, A. Kuiper, B. Schiele, K. Schindler (Eds): Pattern Recognition.
Lecture Notes in Computer Science, Vol. 6376, Springer, Berlin, 533-542, 2010.
In total, 134 papers from 21 countries have been submitted.
2008 ERCIM Cor Baayen Award Finalist
Andrés Bruhn was nominated for his Ph.D. thesis as one of two national finalists for the Cor Baayen Award of the European Research Consortium for Informatics (ERCIM). This award is given each year to the most promising your researcher in computer science and mathematics in Europe.
2008 Busy Beaver Teaching Award
The 2008 Summer Term Teaching Prize in Computer Science at Saarland University has been awarded to Andrés Bruhn for his lectures on Correspondence Problems in Computer Vision.
2008 ECCV Outstanding Reviewer Award
At the 2008 European Conference on Computer Vision (ECCV) an outstanding reviewer award was awarded to Andrés Bruhn for his work as programme committee member.
2007 Dr. Eduard Martin Prize
The 2006 Dr. Eduard Martin Prize for outstanding scientific contributions during his Ph.D. thesis at Saarland University was awarded to Andrés Bruhn.
2007 GI Dissertation Award
At the 2007 Annual Meeting of the German Computer Society (GI), the GI Dissertation Award for the best Ph.D. thesis in computer science in 2006 was awarded to Andrés Bruhn for his thesis
Variational Optic Flow Computation: Accurate Modelling and Efficient Numerics.
The prize is given by the German Computer Society (GI), the Swiss Computer Society (SI), the Austrian Computer Society (OCG) and the German Chapter of the ACM (GChACM). It constitutes the highest award for a Ph.D. thesis in computer science in Germany, Austria and Switzerland.
2006 Olympus Prize
At the 2006 Annual Symposium of the German Pattern Recognition Society (DAGM), the Olympus Prize was awarded to Andrés Bruhn for his outstanding work in the field of pattern recognition and image understanding. This prize constitutes the highest award given by the DAGM.
2005 DAGM Paper Award
At the 2005 Annual Symposium of the German Pattern Recognition Society (DAGM), a paper award has been assigned to the paper
N. Slesareva, A. Bruhn, J. Weickert:
Optic flow goes stereo:
A variational method for estimating discontinuity-preserving dense disparity maps.
In W. Kropatsch, R. Sablatnig, A. Hanbury (Eds): Pattern Recognition.
Lecture Notes in Computer Science, Vol. 3663, Springer, Berlin, 33-40, 2005.
2004 Longuet-Higgins Best Paper Award
This prize is awarded for the best contribution at the Eighth European Conference on Computer Vision (ECCV 2004). It is regarded as the highest European computer vision award. From a total of 555 manuscripts submitted to the conference, the following paper has been selected:
T. Brox, A. Bruhn, N. Papenberg, J. Weickert:
High accuracy optical flow estimation based on a theory for warping.
In T. Pajdla, J. Matas (Eds.): Computer Vision - ECCV 2004.
Lecture Notes in Computer Science, Vol. 3024, Springer, Berlin, 25-36, 2004.
2002 DAGM Paper Award
At the 2002 Annual Symposium of the German Pattern Recognition Society (DAGM), a paper award has been assigned to the paper
A. Bruhn, J. Weickert, C. Schnörr:
Combining the advantages of local and global optic flow methods.
In L. Van Gool (Ed.): Pattern Recognition.
Lecture Notes in Computer Science, Vol. 2449, Springer, Berlin, 454-462, 2002.