Bernhard X. Kausler

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Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Martin SchieggResearch Scientist, Bosch Center for AIVerified email at bosch.com
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Bjoern AndresTU DresdenVerified email at andres.sc
Jan LellmannUniversity of LuebeckVerified email at uni-luebeck.de
Nikos KomodakisAssistant Professor, Computer Science Department, University of CreteVerified email at csd.uoc.gr
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Sungwoong KimKakao BrainVerified email at kakaobrain.com
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Jörg Hendrik KappesHeidelberg EngineeringVerified email at math.uni-heidelberg.de
Dhruv BatraGeorgia Tech and Facebook AI ResearchVerified email at gatech.edu
Ralf MikutKarlsruhe Institute of Technology (Germany)Verified email at kit.edu

Bernhard X. Kausler

Unknown affiliation

Verified email at kausler.net - Homepage

Machine Learning Probabilistic Graphical Models Data Analytics


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Ilastik: interactive machine learning for (bio) image analysis S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler, C Haubold, ... Nature Methods 16 (12), 1226-1232, 2019	506	2019
A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115 (2), 155-184, 2015	210	2015
A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013	207	2013
Automated processing of zebrafish imaging data: a survey R Mikut, T Dickmeis, W Driever, P Geurts, FA Hamprecht, BX Kausler, ... Zebrafish 10 (3), 401-421, 2013	92	2013
Conservation tracking M Schiegg, P Hanslovsky, BX Kausler, L Hufnagel, FA Hamprecht Proceedings of the IEEE International Conference on Computer Vision, 2928-2935, 2013	79	2013
A discrete chain graph model for 3d+ t cell tracking with high misdetection robustness BX Kausler, M Schiegg, B Andres, M Lindner, U Koethe, H Leitte, ... European Conference on Computer Vision, 144-157, 2012	52	2012
Deltr: digital embryo lineage tree reconstructor X Lou, FO Kaster, MS Lindner, BX Kausler, U Köthe, B Höckendorf, ... 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011	27	2011
Time series anomaly detection based on shapelet learning L Beggel, BX Kausler, M Schiegg, M Pfeiffer, B Bischl Computational Statistics 34 (3), 945-976, 2019	20	2019
Tracking-by-Assignment as a Probabilistic Graphical Model with Applications in Developmental Biology B Kausler	1	2013
Method, device and computer program for ascertaining an anomaly B Kausler, L Beggel, M Schiegg, M Pfeiffer US Patent 11,215,485, 2022		2022
Anomaly Detection with Shapelet-Based Feature Learning for Time Series L Beggel, BX Kausler, M Schiegg, B Bischl Ulmer Informatik-Berichte, 25, 2016		2016
Multicuts. Comp. Vision Image Understanding, 2016. in press.[4] P. Swoboda, A. Shekhovtsov, JH Kappes, C. Schnörr, and B. Savchyn-skyy. Partial Optimality by Pruning for MAP … S Kim, BX Kausler, T Kröger, J Lellmann, N Komodakis, B Savchynskyy Dynamics 125, 285-312, 2013		2013
Tracking of Multiple (Divisible) Objects Using Structured Learning M Schiegg, BX Kausler

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