Daniel Cremers

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Jürgen SturmRobotics at Google/XDirección de correo verificada de jsturm.de
Thomas BroxProfessor at the University of Freiburg and Amazon ScholarDirección de correo verificada de cs.uni-freiburg.de
Thomas PockProfessor of Computer Science, TU GrazDirección de correo verificada de icg.tugraz.at
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichDirección de correo verificada de in.tum.de
Vladimir GolkovTechnical University of MunichDirección de correo verificada de tum.de
Andreas WedelHead of ADAS Functions, Visteon Electronics GermanyDirección de correo verificada de visteon.com
Emanuele RodolàAssociate Professor, Computer Science, Sapienza University of RomeDirección de correo verificada de di.uniroma1.it
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityDirección de correo verificada de math.uni-heidelberg.de
Jörg StücklerMax Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Caner HazirbasFacebook AIDirección de correo verificada de hazirbas.com
Horst BischofGraz University of TechnologyDirección de correo verificada de icg.tugraz.at
Laura Leal-TaixéProfessor at Technical University MunichDirección de correo verificada de tum.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichDirección de correo verificada de in.tum.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyDirección de correo verificada de uni-siegen.de
Bodo RosenhahnLeibniz Universität HannoverDirección de correo verificada de tnt.uni-hannover.de
Thomas SchoenemannPostdoctoral Researcher, University of PisaDirección de correo verificada de di.unipi.it
Stefano SoattoProfessor of Computer Science, UCLADirección de correo verificada de ucla.edu
Evgeny StrekalovskiyTechnical University MunichDirección de correo verificada de in.tum.de
Vladyslav UsenkoTechnical University of MunichDirección de correo verificada de tum.de
Antonin ChambolleCEREMADE, CNRS & Université Paris-Dauphine, PSL Research UniversityDirección de correo verificada de ceremade.dauphine.fr

Daniel Cremers

Technical University of Munich

Dirección de correo verificada de tum.de - Página principal

Computer Vision Machine Learning Optimization Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	2511	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	1978	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	1768	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	1768	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	1190	2007
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	1187	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	1049	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	701	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	684	2013
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	657	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	577	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	566	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	552	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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