Daniel Cremers

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Citations	64707	40808
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Jürgen SturmSenior Staff 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 EngelResearch Director, Meta Reality Labs ResearchVerified email at meta.com
Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU MunichVerified email at tum.de
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
Caner HazirbasMeta AIVerified email at meta.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
Jörg StücklerUniversity of Augsburg & Max Planck Institute for Intelligent SystemsVerified email at uni-a.de
Vladyslav UsenkoApple, prev. TU MunichVerified email at apple.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
Bodo RosenhahnL3S Research Center / Leibniz 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
Philip HaeusserCTO Ablacon, Inc.Verified email at ablacon.com
Nikolaus DemmelPhD Student, Computer Vision Group, TUMVerified email at in.tum.de

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	4234	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	3794	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	3794	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	3443	2012
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	2562	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	2506	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, 195-215, 2007	1352	2007
Dense visual SLAM for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	1054	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	1026	2013
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	1005	2012
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	965	2017
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	866	2011
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	817	2009
Robust odometry estimation for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE international conference on robotics and automation, 3748-3754, 2013	732	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	726	2013
Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture C Hazirbas, L Ma, C Domokos, D Cremers Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017	724	2017
Large-scale direct SLAM with stereo cameras J Engel, J Stückler, D Cremers 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015	669	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	664	2015
An Improved Algorithm for TV-L ¹ Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and Geometrical Approaches to Visual Motion Analysis …, 2009	586	2009
An Improved Algorithm for TV-L ¹ Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and Geometrical Approaches to Visual Motion Analysis …, 2009	586	2009

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