Követés
Michael Arens
Michael Arens
E-mail megerősítve itt: iosb.fraunhofer.de
Cím
Hivatkozott rá
Hivatkozott rá
Év
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
19452015
Analysis of explainers of black box deep neural networks for computer vision: A survey
V Buhrmester, D Münch, M Arens
Machine Learning and Knowledge Extraction 3 (4), 966-989, 2021
1662021
The thermal infrared visual object tracking VOT-TIR2015 challenge results
RP Michael Felsberg, Amanda Berg, Gustav Hager, Jorgen Ahlberg, Matej ...
Proceedings of the IEEE International Conference on Computer Vision …, 2015
1452015
What is an author
F Michael, S Bohn, M Agsten, D Beyer, C Ament, M Eichhorn, ...
Lodge, Modern Criticism and Theory, 197-210, 1977
1331977
Online multi-person tracking using integral channel features
H Kieritz, S Becker, W Hübner, M Arens
2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016
1092016
Person re-identification in multi-camera networks
K Jüngling, C Bodensteiner, M Arens
CVPR 2011 WORKSHOPS, 55-61, 2011
762011
Feature based person detection beyond the visible spectrum
K Jungling, M Arens
2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009
752009
Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data
M Hebel, M Arens, U Stilla
ISPRS Journal of Photogrammetry and Remote Sensing 86, 52-64, 2013
722013
An evaluation of trajectory prediction approaches and notes on the trajnet benchmark
S Becker, R Hug, W Hübner, M Arens
arXiv preprint arXiv:1805.07663, 2018
622018
AN APPROACH TO EXTRACT MOVING OBJECTS FROM MLS DATA USING A VOLUMETRIC BACKGROUND REPRESENTATION.
J Gehrung, M Hebel, M Arens, U Stilla
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4, 2017
602017
Red: A simple but effective baseline predictor for the trajnet benchmark
S Becker, R Hug, W Hubner, M Arens
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
542018
Low-cost commodity depth sensor comparison and accuracy analysis
T Breuer, C Bodensteiner, M Arens
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII …, 2014
542014
View-invariant person re-identification with an implicit shape model
K Jüngling, M Arens
2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011
532011
Learning an infant body model from RGB-D data for accurate full body motion analysis
N Hesse, S Pujades, J Romero, MJ Black, C Bodensteiner, M Arens, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
512018
Behavioral knowledge representation for the understanding and creation of video sequences
M Arens, HH Nagel
Annual Conference on Artificial Intelligence, 149-163, 2003
512003
Computer vision for medical infant motion analysis: State of the art and rgb-d data set
N Hesse, C Bodensteiner, M Arens, UG Hofmann, R Weinberger, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
502018
Local feature based person reidentification in infrared image sequences
KK Jüngling, M Arens
2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010
492010
Lidar-based detection and tracking of small UAVs
M Hammer, M Hebel, M Laurenzis, M Arens
Emerging Imaging and Sensing Technologies for Security and Defence III; and …, 2018
472018
Learning and tracking the 3D body shape of freely moving infants from RGB-D sequences
N Hesse, S Pujades, MJ Black, M Arens, UG Hofmann, AS Schroeder
IEEE transactions on pattern analysis and machine intelligence 42 (10), 2540 …, 2019
432019
Estimating body pose of infants in depth images using random ferns
N Hesse, G Stachowiak, T Breuer, M Arens
Proceedings of the IEEE International Conference on Computer Vision …, 2015
432015
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Cikkek 1–20