Steffen Wolf

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Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Anna KreshukGroup Leader, EMBL HeidelbergVerified email at embl.de
Constantin PapePostDoc, EMBL HeidelbergVerified email at embl.de
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Nasim RahamanMila, Montréal & Max-Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Carsten HauboldPhD Student, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Lukas SchottPhD Student International Max Planck Research School for Intelligent SystemsVerified email at bethgelab.org
Charless FowlkesDepartment of Computer Science, University of California, IrvineVerified email at ics.uci.edu
Anirudh GoyalMila, Université de MontréalVerified email at umontreal.ca
Martin SchieggResearch Scientist, Bosch Center for AIVerified email at bosch.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Manuel HaussmannPhD Student, Heidelberg UniversityVerified email at mailbox.org
Daniel DurstewitzProfessor for Theoretical Neuroscience, CIMH/ Heidelberg UniversityVerified email at zi-mannheim.de
Elke KirschbaumAmazon Development Center, TuebingenVerified email at amazon.com
Oliver KannProfessor of Neurophysiology, University of HeidelbergVerified email at physiologie.uni-heidelberg.de
Vikram MandikalApplied Scientist @ AmazonVerified email at amazon.com

Steffen Wolf

PhD Student, University of Heidelberg

Verified email at iwr.uni-heidelberg.de

Machine Learning Image Segmentation Structured Learning Efficient Algorithms


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An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017	278	2017
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning S Wolf, C Pape, A Bailoni, N Rahaman, A Kreshuk, U Kothe, ... Proceedings of the European Conference on Computer Vision (ECCV), 546-562, 2018	30	2018
Learned Watershed: End-to-End Learning of Seeded Segmentation S Wolf, L Schott, U Köthe, F Hamprecht International Conference on Computer Vision: ICCV 2017, 2017	29	2017
The mutex watershed and its objective: Efficient, parameter-free graph partitioning S Wolf, A Bailoni, C Pape, N Rahaman, A Kreshuk, U Köthe, ... IEEE transactions on pattern analysis and machine intelligence, 2020	13	2020
Microscopy‐based assay for semi‐quantitative detection of SARS‐CoV‐2 specific antibodies in human sera: A semi‐quantitative, high throughput, microscopy‐based assay expands … C Pape, R Remme, A Wolny, S Olberg, S Wolf, L Cerrone, M Cortese, ... BioEssays 43 (3), 2000257, 2021	9	2021
A generalized framework for agglomerative clustering of signed graphs applied to instance segmentation A Bailoni, C Pape, S Wolf, T Beier, A Kreshuk, FA Hamprecht arXiv preprint arXiv:1906.11713, 2019	9	2019
Tracking objects with higher order interactions via delayed column generation S Wang, S Wolf, C Fowlkes, J Yarkony Artificial Intelligence and Statistics, 1132-1140, 2017	9*	2017
A generalized successive shortest paths solver for tracking dividing targets C Haubold, J Aleš, S Wolf, FA Hamprecht European Conference on Computer Vision, 566-582, 2016	9	2016
LeMoNADe: learned motif and neuronal assembly detection in calcium imaging videos E Kirschbaum, M Haußmann, S Wolf, H Sonntag, J Schneider, S Elzoheiry, ... arXiv preprint arXiv:1806.09963, 2018	5	2018
Learning the arrow of time for problems in reinforcement learning N Rahaman, S Wolf, A Goyal, R Remme, Y Bengio	3	2020
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation S Wolf, Y Li, C Pape, A Bailoni, A Kreshuk, FA Hamprecht European Conference on Computer Vision, 208-224, 2020	3	2020
Inpainting Networks Learn to Separate Cells in Microscopy Images. S Wolf, FA Hamprecht, J Funke, H Janelia, VA Ashburn BMVC, 2020	3	2020
Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models M Schiegg, B Heuer, C Haubold, S Wolf, U Koethe, FA Hamprecht 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 394-398, 2015	3	2015
Instance separation emerges from inpainting S Wolf, FA Hamprecht, J Funke arXiv preprint arXiv:2003.00891, 2020	2	2020
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks A Bailoni, C Pape, S Wolf, A Kreshuk, FA Hamprecht Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021	1	2021
Learning the Arrow of Time N Rahaman, S Wolf, A Goyal, R Remme, Y Bengio arXiv preprint arXiv:1907.01285, 2019	1	2019
Tracking objects with higher order interactions using delayed column generation S Wolf, FA Hamprecht, J Yarkony arXiv preprint arXiv:1512.02413, 2015	1	2015
Machine Learning for Instance Segmentation S Wolf		2020
Learning the Arrow of Time Download PDF N Rahaman, S Wolf, A Goyal, R Remme, Y Bengio
HD-Hau-GE C Haubold, M Schiegg, D Stöckel, S Wolf, FA Hamprecht

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