Daniel Cremers
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LSD-SLAM: Large-scale direct monocular SLAM
J Engel, T Schöps, D Cremers
European conference on computer vision, 834-849, 2014
22982014
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
18122012
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
15062015
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
15062015
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
11662007
Direct sparse odometry
J Engel, V Koltun, D Cremers
IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017
10202017
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
9172016
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
8072012
Dense visual SLAM for RGB-D cameras
C Kerl, J Sturm, D Cremers
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
6542013
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
6322013
Variational methods in imaging
O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen
Springer Science+ Business Media LLC, 2009
6262009
Robust odometry estimation for RGB-D cameras
C Kerl, J Sturm, D Cremers
2013 IEEE International Conference on Robotics and Automation, 3748-3754, 2013
5392013
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
5372011
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
5092013
Anisotropic Huber-L1 Optical Flow.
M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof
BMVC 1 (2), 3, 2009
4722009
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
4622009
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
4622009
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
4502002
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
4332006
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
4302017
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Artiklar 1–20