Daniel Cremers - Google Scholar Citations

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	All	Since 2014
Citations	33461	24252
h-index	87	69
i10-index	313	265

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Jürgen SturmGoogleVerified email at jsturm.de
Thomas BroxProfessor of Computer Science, University of FreiburgVerified email at cs.uni-freiburg.de
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Andreas WedelHead of ADAS Planning, Visteon Electronics GermanyVerified email at visteon.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Emanuele RodolàAssistant Professor, Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
Caner HazirbasApple Inc.Verified email at hazirbas.com
Thomas SchoenemannPostdoctoral Researcher, University of PisaVerified email at di.unipi.it
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
Jörg StücklerMax-Planck-Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
Evgeny StrekalovskiyTechnical University MunichVerified email at in.tum.de
Kalin KolevVerified email at seene.co
Antonin ChambolleCMAP, Ecole Polytechnique et CNRSVerified email at cmap.polytechnique.fr
Laura Leal-TaixéProfessor at Technical University MunichVerified email at tum.de
Frank R. SchmidtBosch Center for Artificial IntelligenceVerified email at de.bosch.com

Daniel Cremers

Technical University of Munich

Verified email at tum.de - Homepage

Computer Vision Machine Learning Optimization Robotics


Title	Cited by	Year
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	1911	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	1500	2012
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	1121	2007
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	1087	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	1087	2015
An evaluation of the RGB-D SLAM system. F Endres, J Hess, N Engelhard, J Sturm, D Cremers, W Burgard Icra 3 (c), 1691-1696, 2012	764	2012
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	738	2017
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	676	2016
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	580	2009
Dense visual SLAM for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	575	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	542	2013
Robust odometry estimation for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE International Conference on Robotics and Automation, 3748-3754, 2013	486	2013
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	471	2011
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	454	2009
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	450	2013
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	439	2002
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	430	2009
Kernel density estimation and intrinsic alignment for shape priors in level set segmentation D Cremers, SJ Osher, S Soatto International journal of computer vision 69 (3), 335-351, 2006	421	2006
Handbook of mathematical models in computer vision N Paragios, Y Chen, OD Faugeras Springer Science & Business Media, 2006	414	2006
Camera-based navigation of a low-cost quadrocopter J Engel, J Sturm, D Cremers 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	379	2012

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