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Nikolas Hesse
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Books and Theses
- 2019
- [b1]Nikolas Hesse:
Unobtrusive medical infant motion analysis from RGB-D data. University of Freiburg, Germany, 2019
Journal Articles
- 2023
- [j3]Florian van Dellen, Nikolas Hesse, Rob Labruyère:
Markerless motion tracking to quantify behavioral changes during robot-assisted gait training: A validation study. Frontiers Robotics AI 10 (2023) - 2020
- [j2]Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich G. Hofmann, A. Sebastian Schroeder:
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2540-2551 (2020) - 2019
- [j1]Sergi Pujades, Betty J. Mohler, Anne Thaler, Joachim Tesch, Naureen Mahmood, Nikolas Hesse, Heinrich H. Bülthoff, Michael J. Black:
The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements. IEEE Trans. Vis. Comput. Graph. 25(5): 1887-1897 (2019)
Conference and Workshop Papers
- 2018
- [c5]Nikolas Hesse, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Raphael Weinberger, A. Sebastian Schroeder:
Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set. ECCV Workshops (6) 2018: 32-49 - [c4]Nikolas Hesse, Sergi Pujades, Javier Romero, Michael J. Black, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Uta Tacke, Mijna Hadders-Algra, Raphael Weinberger, Wolfgang Müller-Felber, A. Sebastian Schroeder:
Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis. MICCAI (1) 2018: 792-800 - 2017
- [c3]Nikolas Hesse, A. Sebastian Schröder, Wolfgang Müller-Felber, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann:
Body pose estimation in depth images for infant motion analysis. EMBC 2017: 1909-1912 - 2015
- [c2]Nikolas Hesse, Gregor Stachowiak, Timo Breuer, Michael Arens:
Estimating Body Pose of Infants in Depth Images Using Random Ferns. ICCV Workshops 2015: 427-435 - 2012
- [c1]Nikolas Hesse, Tobias Gehrig, Hua Gao, Hazim Kemal Ekenel:
Multi-view facial expression recognition using local appearance features. ICPR 2012: 3533-3536
Informal and Other Publications
- 2018
- [i1]Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich G. Hofmann, A. Sebastian Schroeder:
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences. CoRR abs/1810.07538 (2018)
Coauthor Index
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