Daniel Cremers

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Medförfattare

Jürgen SturmRobotics at Google/XVerifierad e-postadress på jsturm.de
Thomas BroxProfessor at the University of Freiburg and Amazon ScholarVerifierad e-postadress på cs.uni-freiburg.de
Thomas PockProfessor of Computer Science, TU GrazVerifierad e-postadress på icg.tugraz.at
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichVerifierad e-postadress på in.tum.de
Vladimir GolkovTechnical University of MunichVerifierad e-postadress på tum.de
Andreas WedelHead of ADAS Functions, Visteon Electronics GermanyVerifierad e-postadress på visteon.com
Emanuele RodolàAssociate Professor, Computer Science, Sapienza University of RomeVerifierad e-postadress på di.uniroma1.it
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerifierad e-postadress på math.uni-heidelberg.de
Jörg StücklerMax Planck Institute for Intelligent SystemsVerifierad e-postadress på tuebingen.mpg.de
Caner HazirbasFacebook AIVerifierad e-postadress på hazirbas.com
Horst BischofGraz University of TechnologyVerifierad e-postadress på icg.tugraz.at
Laura Leal-TaixéProfessor at Technical University MunichVerifierad e-postadress på tum.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichVerifierad e-postadress på in.tum.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyVerifierad e-postadress på uni-siegen.de
Bodo RosenhahnLeibniz Universität HannoverVerifierad e-postadress på tnt.uni-hannover.de
Thomas SchoenemannPostdoctoral Researcher, University of PisaVerifierad e-postadress på di.unipi.it
Stefano SoattoProfessor of Computer Science, UCLAVerifierad e-postadress på ucla.edu
Evgeny StrekalovskiyTechnical University MunichVerifierad e-postadress på in.tum.de
Vladyslav UsenkoTechnical University of MunichVerifierad e-postadress på tum.de
Antonin ChambolleCEREMADE, CNRS & Université Paris-Dauphine, PSL Research UniversityVerifierad e-postadress på ceremade.dauphine.fr

Daniel Cremers

Technical University of Munich

Verifierad e-postadress på tum.de - Startsida

Computer Vision Machine Learning Optimization Robotics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	2514	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	1976	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	1760	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	1760	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	1187	2007
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	1186	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	1044	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	833	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	699	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	683	2013
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	656	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	578	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	567	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	551	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	496	2017
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	479	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	472	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	472	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	456	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	438	2006

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