Daniel Cremers

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Citations	53368	34164
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Jürgen SturmSenior Software Engineering Manager at Intrinsic, an Alphabet companyVerified email at jsturm.de
Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de
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
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
Andreas WedelSW Engineering LeadVerified email at fb.com
Laura Leal-TaixéProfessor at Technical University MunichVerified email at tum.de
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Jörg StücklerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Caner HazirbasFacebook AIVerified email at hazirbas.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
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
Vladyslav UsenkoTechnical University of MunichVerified email at tum.de
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Rui Wang (王锐)Senior Research Scientist, MicrosoftVerified email at microsoft.com
Thomas SchoenemannPostdoctoral Researcher, University of PisaVerified email at di.unipi.it
Evgeny StrekalovskiyTechnical University MunichVerified email at in.tum.de
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu

Daniel Cremers

Technical University of Munich

Verified email at tum.de - Homepage

Computer Vision Machine Learning Optimization Robotics


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LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	3457	2014
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	2779	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	2779	2015
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	2720	2012
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	1842	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	1769	2016
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	1308	2007
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	937	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	900	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	887	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	766	2017
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	730	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	724	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	666	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	659	2013
Large-scale direct SLAM with stereo cameras J Engel, J Stückler, D Cremers 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	568	2015
Flownet: Learning optical flow with convolutional networks P Fischer, A Dosovitskiy, E Ilg, P Häusser, C Hazırbaş, V Golkov, ... arXiv preprint arXiv:1504.06852, 2015	547	2015
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	537	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	537	2009
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	526	2009

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