| 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 | 2146 | 2015 |
| 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 | 423 | 2021 |
| 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 | 194 | 2015 |
| The visual object tracking vot2016 challenge results G Roffo, S Melzi Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 172* | 2016 |
| Author 8 TP Michael, TP Michael crops 24 (25), 26, 1984 | 170 | 1984 |
| 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 | 118 | 2016 |
| 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 | 89 | 2018 |
| 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 | 89 | 2013 |
| 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 88 | 2018 |
| 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 | 87 | 2018 |
| 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 the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 85 | 2017 |
| Person re-identification in multi-camera networks K Jüngling, C Bodensteiner, M Arens CVPR 2011 WORKSHOPS, 55-61, 2011 | 82 | 2011 |
| Feature based person detection beyond the visible spectrum K Jungling, M Arens 2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009 | 80 | 2009 |
| 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 | 78 | 2018 |
| 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 | 77 | 2018 |
| 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 | 71 | 2019 |
| 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 | 58 | 2014 |
| 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 | 55 | 2010 |
| Behavioral knowledge representation for the understanding and creation of video sequences M Arens, HH Nagel Annual Conference on Artificial Intelligence, 149-163, 2003 | 54 | 2003 |
| 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 | 52 | 2011 |
Marcus HebelFraunhofer IOSB, Fraunhofer Institute of Optronics, System Technologies and Image ExploitationVerified email at iosb.fraunhofer.de
