Daniel Cremers

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	Toutes	Depuis 2016
Citations	43712	28512
indice h	95	76
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Coauteurs

Jürgen SturmRobotics at Google/XAdresse e-mail validée de jsturm.de
Thomas BroxProfessor at the University of Freiburg and Amazon ScholarAdresse e-mail validée de cs.uni-freiburg.de
Thomas PockProfessor of Computer Science, TU GrazAdresse e-mail validée de icg.tugraz.at
Vladimir GolkovTechnical University of MunichAdresse e-mail validée de tum.de
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichAdresse e-mail validée de in.tum.de
Andreas WedelSenior Engineering Lead, ADAS MB-OS, MBition GmbHAdresse e-mail validée de visteon.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeAdresse e-mail validée de di.uniroma1.it
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityAdresse e-mail validée de math.uni-heidelberg.de
Jörg StücklerMax Planck Institute for Intelligent SystemsAdresse e-mail validée de tuebingen.mpg.de
Laura Leal-TaixéProfessor at Technical University MunichAdresse e-mail validée de tum.de
Caner HazirbasFacebook AIAdresse e-mail validée de hazirbas.com
Horst BischofGraz University of TechnologyAdresse e-mail validée de icg.tugraz.at
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichAdresse e-mail validée de in.tum.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyAdresse e-mail validée de uni-siegen.de
Bodo RosenhahnLeibniz Universität HannoverAdresse e-mail validée de tnt.uni-hannover.de
Thomas SchoenemannPostdoctoral Researcher, University of PisaAdresse e-mail validée de di.unipi.it
Stefano SoattoProfessor of Computer Science, UCLAAdresse e-mail validée de ucla.edu
Vladyslav UsenkoTechnical University of MunichAdresse e-mail validée de tum.de
Evgeny StrekalovskiyTechnical University MunichAdresse e-mail validée de in.tum.de
Philip HaeusserCTO Ablacon, Inc.Adresse e-mail validée de ablacon.com

Daniel Cremers

Technical University of Munich

Adresse e-mail validée de tum.de - Page d'accueil

Computer Vision Machine Learning Optimization Robotics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	2723	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	2120	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	1955	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	1955	2015
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	1321	2017
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	1211	2007
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	1163	2016
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	859	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	747	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	726	2013
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	663	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	611	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	595	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	581	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	539	2017
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	502	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	488	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	488	2009
Large-scale direct SLAM with stereo cameras J Engel, J Stückler, D Cremers 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	464	2015
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	457	2002

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