News

We won the CVPR 2017 Multiple-Object Tracking Challenge

Our approach

Motion Segmentation and Multiple Object Tracking by Correlation Clustering, Margret Keuper, Siyu Tang Bjoern Andres, Thomas Brox and Bernt Schiele

won the

CVPR 2017 Multiple-Object Tracking Challenge.

A detailed method description is given in:  M. Keuper, S. Tang, Y. Zhongjie, B. Andres, T. Brox, B. Schiele. A multi-cut formulation for joint segmentation and tracking of multiple objects. In arXiv preprint arXiv:1607.06317, 2016.

 

Abstract: Recently, Minimum Cost Multicut Formulations have been proposed and proven to be successful in both motion
trajectory segmentation and multi-target tracking scenarios. Both tasks benefit from decomposing a graphical model
into an optimal number of connected components based on attractive and repulsive pairwise terms. The two tasks are
formulated on different levels of granularity and, accordingly, leverage mostly local information for motion segmentation and mostly high-level information for multi-target tracking. In this paper we argue that point trajectories and their local relationships can contribute to the high-level task of multi-target tracking and also argue that high-level cues from object detection and tracking are helpful to solve motion segmentation. We propose a joint graphical model for point trajectories and object detections whose Multicuts are solutions to motion segmentation and multi-target tracking problems at once.

Prof. Dr.-Ing. Margret Keuper

Image Processing

A5, 6, Room B 223

Email: keuper (at) uni-mannheim . de

Phone: +49 621 181 2602

 

I joined the Data and Web Science Group in April 2017 as a Juniorprofessor. My research interests are Computer Vision and Image Processing. More specifically, I am interested in grouping problems such as

 

During my PhD with Thomas Brox at the University of Freiburg, I focused on the segmentation in volumetric bio-medical image data.

Publications

You can also find a full list of my publications on Google Scholar..

2017

Margret Keuper: Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation, in Proc. of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017, to appear. [pdf]

Anne S. Wannenwetsch, Margret Keuper, and Stefan Roth: ProbFlow: Joint optical flow and uncertainty estimation, in Proc. of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017, to appear. [pdf]

Yang He, Margret Keuper, Bernt Schiele and Mario Fritz, Learning Dilation Factors for Semantic Segmentation of Street Scenes, 39th German Conference on Pattern Recognition (GCPR), 2017.

Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz: STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data Driven Pooling, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf]

Eddy Ilg, Nikolaus Mayer, T. Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf]

2016

Margret Keuper, Thomas Brox: Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency. ECCV Workshops (3) 2016: 789-803. [pdf]

Margret Keuper, Thomas Brox: Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction, Perspectives in Shape Analysis, 155-168

2015

Margret Keuper, Bjoern Andres, Thomas Brox: Motion Trajectory Segmentation via Minimum Cost Multicuts. in Proc. of the IEEE International Conference on Computer Vision (ICCV), 2015: 3271-3279 [pdf]

Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres: Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. in Proc. of the IEEE International Conference on Computer Vision (ICCV), 2015: 1751-1759 [pdf]

2014

Fabio Galasso, Margret Keuper, Thomas Brox, Bernt Schiele: Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation. in Proc. of the CVPR 2014: 49-56 [pdf]

2013

Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger: Variational attenuation correction in two-view confocal microscopy. BMC Bioinformatics 14: 366 (2013) [paper]

Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox: Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). CVPR 2013: 2179-2186 [pdf]

Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger: Variational attenuation correction of two-view confocal microscopic recordings. ISBI 2013: 169-172 [paper]

2012

Thorsten Schmidt, Margret Keuper, Taras Pasternak, Klaus Palme, Olaf Ronneberger: Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves. DAGM/OAGM Symposium 2012: 83-92 [pdf]

Margret Keuper, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger: Blind deconvolution with PSF regularization for wide-field microscopy. ISBI 2012: 1292-1295 [pdf]

2011

Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco, Wolfgang Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger: Hierarchical Markov Random Fields for Mast Cell Segmentation in Electron Microscopic Recordings. In Proc. of the International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2011, pages 973-978. [pdf]

2010

M. Keuper, R. Bensch, K. Voigt, A. Dovzhenko, K. Palme, H. Burkhardt, O. Ronneberger: Semi-Supervised Learning of Edge Filters for Volumetric Image Segmentation , inProc. of the 32nd DAGM Symposium 2010, LNCS, pages 462-471. [pdf]

M. Keuper, T. Schmidt, J. Padeken, P. Heun, K. Palme, H. Burkhardt, O. Ronneberger: 3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes, in Proc. of the ICPR, 20th International Conference on Pattern Recognition, 2010, pages 2254-2257. [pdf]

M. Keuper, J. Padeken, P. Heun, H. Burkhardt, O. Ronneberger: Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces , in Proc. of the ICPR, 20th International Conference on Pattern Recognition, 2010, pages 2784-2787. [pdf]

M. Temerinac, M. Keuper and H. Burkhardt:
Evaluation of a New Point Clouds Registration Method based on Group Averaging Features, in Proc. of the ICPR, 20th International Conference on Pattern Recognition, 2010, pages 2452-2455. [pdf]

2009

M. Keuper, J. Padeken, P. Heun, H. Burkhardt, O. Ronneberger:
A 3D Active Surface Model for the accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli. [pdf] In Proc. of the ISVC 2009, LNCS, pages: 865-874.

Awards and Nominations

  • Winner of the CVPR 2017 Multiple Object Tracking Challenge
  • Outstanding Reviewer Award, BMVC 2017
  • Outstanding Reviewer Award, ECCV 2016
  • Outstanding Reviewer Award, ICCV 2015