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 NowozinGoogle DeepMindVerified email at deepmind.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Sungwoong KimAssociate Professor, Korea UniversityVerified email at korea.ac.kr
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Jörg Hendrik KappesHeidelberg EngineeringVerified email at math.uni-heidelberg.de
Dhruv BatraGeorgia Tech | Prev: FAIR (Meta AI)Verified 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	1831	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, 155-184, 2015	241	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	222	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	107	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	102	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, ... Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	59	2012
Time series anomaly detection based on shapelet learning L Beggel, BX Kausler, M Schiegg, M Pfeiffer, B Bischl Computational Statistics 34, 945-976, 2019	54	2019
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
Method, device and computer program for ascertaining an anomaly B Kausler, L Beggel, M Schiegg, M Pfeiffer US Patent 11,215,485, 2022	1	2022
Tracking-by-Assignment as a Probabilistic Graphical Model with Applications in Developmental Biology B Kausler	1	2013
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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