Segui
Daniel Cremers
Titolo
Citata da
Citata da
Anno
LSD-SLAM: Large-scale direct monocular SLAM
J Engel, T Schöps, D Cremers
European conference on computer vision, 834-849, 2014
49562014
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
46632015
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
46632015
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
43502012
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
32402016
Direct sparse odometry
J Engel, V Koltun, D Cremers
IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017
32192017
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, 195-215, 2007
13972007
Dense visual SLAM for RGB-D cameras
C Kerl, J Sturm, D Cremers
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
11682013
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
11522013
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
11352017
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
10552012
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
9612011
Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture
C Hazirbas, L Ma, C Domokos, D Cremers
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
9342017
Variational methods in imaging
O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen
Springer Science+ Business Media LLC, 2009
9302009
Mot20: A benchmark for multi object tracking in crowded scenes
P Dendorfer
arXiv preprint arXiv:2003.09003, 2020
8262020
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
7852013
Robust odometry estimation for RGB-D cameras
C Kerl, J Sturm, D Cremers
2013 IEEE international conference on robotics and automation, 3748-3754, 2013
7732013
Large-scale direct SLAM with stereo cameras
J Engel, J Stückler, D Cremers
2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015
7632015
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
7502015
An introduction to total variation for image analysis
A Chambolle, V Caselles, D Cremers, M Novaga, T Pock
Theoretical foundations and numerical methods for sparse recovery 9 (263-340 …, 2010
6612010
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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