Daniel Cremers

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	All	Since 2016
Citations	43712	28512
h-index	95	76
i10-index	344	265

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Jürgen SturmRobotics at Google/XVerified email at jsturm.de
Thomas BroxProfessor at the University of Freiburg and Amazon ScholarVerified email at cs.uni-freiburg.de
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
Vladimir GolkovTechnical University of MunichVerified email at tum.de
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Andreas WedelSenior Engineering Lead, ADAS MB-OS, MBition GmbHVerified email at visteon.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Jörg StücklerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Laura Leal-TaixéProfessor at Technical University MunichVerified email at tum.de
Caner HazirbasFacebook AIVerified email at hazirbas.com
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Thomas SchoenemannPostdoctoral Researcher, University of PisaVerified email at di.unipi.it
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
Vladyslav UsenkoTechnical University of MunichVerified email at tum.de
Evgeny StrekalovskiyTechnical University MunichVerified email at in.tum.de
Philip HaeusserCTO Ablacon, Inc.Verified email at ablacon.com

Daniel Cremers

Technical University of Munich

Verified email at tum.de - Homepage

Computer Vision Machine Learning Optimization Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	2723	2014
A benchmark for the evaluation of RGB-D SLAM systems J Sturm, N Engelhard, F Endres, W Burgard, D Cremers 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	2120	2012
Flownet: Learning optical flow with convolutional networks A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ... Proceedings of the IEEE International Conference on Computer Vision, 2758-2766, 2015	1955	2015
Flownet: Learning optical flow with convolutional networks A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ... Proceedings of the IEEE International Conference on Computer Vision, 2758-2766, 2015	1955	2015
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	1321	2017
A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape D Cremers, M Rousson, R Deriche International journal of computer vision 72 (2), 195-215, 2007	1211	2007
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2016	1163	2016
An evaluation of the RGB-D SLAM system F Endres, J Hess, N Engelhard, J Sturm, D Cremers, W Burgard 2012 IEEE International Conference on Robotics and Automation, 1691-1696, 2012	859	2012
Dense visual SLAM for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	747	2013
3-D mapping with an RGB-D camera F Endres, J Hess, J Sturm, D Cremers, W Burgard IEEE transactions on robotics 30 (1), 177-187, 2013	726	2013
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	663	2009
The wave kernel signature: A quantum mechanical approach to shape analysis M Aubry, U Schlickewei, D Cremers 2011 IEEE international conference on computer vision workshops (ICCV …, 2011	611	2011
Robust odometry estimation for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE International Conference on Robotics and Automation, 3748-3754, 2013	595	2013
Semi-dense visual odometry for a monocular camera J Engel, J Sturm, D Cremers Proceedings of the IEEE international conference on computer vision, 1449-1456, 2013	581	2013
One-shot video object segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017	539	2017
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	502	2009
An Improved Algorithm for TV-L¹ Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and geometrical approaches to visual motion analysis, 23-45, 2009	488	2009
An Improved Algorithm for TV-L¹ Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and geometrical approaches to visual motion analysis, 23-45, 2009	488	2009
Large-scale direct SLAM with stereo cameras J Engel, J Stückler, D Cremers 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	464	2015
Diffusion snakes: Introducing statistical shape knowledge into the Mumford-Shah functional D Cremers, F Tischhäuser, J Weickert, C Schnörr International journal of computer vision 50 (3), 295-313, 2002	457	2002

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