News

Four papers accepted at EMNLP 2017

We have a few papers accepted at the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), one of the top-tier conferences in the field of Natural Language Processing:

  • Kiril Gashteovski, Rainer Gemulla, Luciano del Corro: MinIE: Minimizing Facts in Open Information Extraction
  • Goran Glavaš and Simone Paolo Ponzetto: Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
  • Stefano Menini, Federico Nanni, Simone Paolo Ponzetto and Sara Tonelli: Topic-Based Agreement and Disagreement in US Electoral Manifestos
  • Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto and Chris Biemann: Unsupervised & Knowledge-Free & Interpretable Word Sense Disambiguation

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