Daniel Cremers

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Citations	59380	35511
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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 EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de
Laura Leal-TaixéSenior Research Manager at NVIDIA and Adjunct Professor TU MunichVerified email at tum.de
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
Andreas WedelSW Engineering LeadVerified email at fb.com
Caner HazirbasMeta AIVerified email at hazirbas.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
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerified email at uni-siegen.de
Jörg StücklerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Vladyslav UsenkoApple, prev. TU MunichVerified email at apple.com
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
Thomas SchoenemannPostdoctoral Researcher, University of PisaVerified email at di.unipi.it
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


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LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	3863	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	3330	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	3330	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	3059	2012
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	2206	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	2149	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	1337	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	976	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	968	2012
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	958	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	885	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	796	2011
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	776	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	702	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	691	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	625	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	617	2015
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	601	2017
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	556	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	556	2009

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