Daniel Cremers - Google Scholar Citations

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	All	Since 2015
Citations	34793	23361
h-index	87	66
i10-index	312	255

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Jürgen SturmGoogleVerified 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
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
Jörg StücklerMax-Planck-Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Caner HazirbasApple Inc.Verified email at hazirbas.com
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Thomas SchoenemannPostdoctoral Researcher, University of PisaVerified email at di.unipi.it
Laura Leal-TaixéProfessor at Technical University MunichVerified email at tum.de
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
Evgeny StrekalovskiyTechnical University MunichVerified email at in.tum.de
Antonin ChambolleCMAP, Ecole Polytechnique et CNRSVerified email at cmap.polytechnique.fr
Kalin KolevVerified email at seene.co
Wolfram BurgardProfessor of Computer Science, University of FreiburgVerified email at informatik.uni-freiburg.de

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	2045	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	1603	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	1212	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	1212	2015
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	1142	2007
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	831	2017
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	779	2012
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	729	2016
Dense visual SLAM for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	599	2013
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	590	2009
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	576	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	503	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	493	2011
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	466	2013
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	462	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	449	2009
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	442	2002
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	423	2006
Handbook of mathematical models in computer vision N Paragios, Y Chen, OD Faugeras Springer Science & Business Media, 2006	420	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	382	2012

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