Daniel Cremers

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	すべて	2017 年以来
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176 件の論文

9 件の論文

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Jürgen SturmSenior Software Engineering Manager at Intrinsic, an Alphabet company確認したメールアドレス: jsturm.de
Thomas BroxUniversity of Freiburg and Amazon確認したメールアドレス: cs.uni-freiburg.de
Vladimir GolkovTechnical University of Munich確認したメールアドレス: tum.de
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of Munich確認したメールアドレス: in.tum.de
Thomas PockProfessor of Computer Science, TU Graz確認したメールアドレス: icg.tugraz.at
Andreas WedelSW Engineering Lead確認したメールアドレス: fb.com
Laura Leal-TaixéProfessor at Technical University Munich確認したメールアドレス: tum.de
Emanuele RodolàProfessor of Computer Science, Sapienza University of Rome確認したメールアドレス: di.uniroma1.it
Jörg StücklerMax Planck Institute for Intelligent Systems確認したメールアドレス: tuebingen.mpg.de
Caner HazirbasMeta AI確認したメールアドレス: hazirbas.com
Michael MoellerProfessor for Computer Vision, University of Siegen, Germany確認したメールアドレス: uni-siegen.de
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg University確認したメールアドレス: math.uni-heidelberg.de
Vladyslav UsenkoTechnical University of Munich確認したメールアドレス: tum.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of Munich確認したメールアドレス: in.tum.de
Horst BischofGraz University of Technology確認したメールアドレス: icg.tugraz.at
Bodo RosenhahnLeibniz Universität Hannover確認したメールアドレス: tnt.uni-hannover.de
Rui Wang (王锐)Senior Research Scientist, Microsoft確認したメールアドレス: microsoft.com
Thomas SchoenemannPostdoctoral Researcher, University of Pisa確認したメールアドレス: di.unipi.it
Evgeny StrekalovskiyTechnical University Munich確認したメールアドレス: in.tum.de
Philip HaeusserCTO Ablacon, Inc.確認したメールアドレス: ablacon.com

フォロー

Daniel Cremers

Technical University of Munich

確認したメールアドレス: tum.de - ホームページ

Computer Vision Machine Learning Optimization Robotics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	3583	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	2978	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	2978	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	2820	2012
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	1973	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	1924	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 (2), 195-215, 2007	1315	2007
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	951	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	914	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	906	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	809	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	749	2011
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	746	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	679	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	665	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	584	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	572	2015
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	543	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	543	2009
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	528	2009

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