Nikolas Hesse

According to our database, Nikolas Hesse authored at least 9 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Markerless motion tracking to quantify behavioral changes during robot-assisted gait training: A validation study.

Florian van Dellen, Nikolas Hesse, Rob Labruyère

Frontiers Robotics AI, February, 2023

2020

Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences.

Nikolas Hesse, Sergi Pujades, Michael J. Black, Michael Arens, Ulrich G. Hofmann, A. Sebastian Schroeder

IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019

Unobtrusive medical infant motion analysis from RGB-D data

Nikolas Hesse

PhD thesis, 2019

The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements.

Sergi Pujades, Betty J. Mohler, Anne Thaler, Joachim Tesch, Naureen Mahmood, Nikolas Hesse, Heinrich H. Bülthoff, Michael J. Black

IEEE Trans. Vis. Comput. Graph., 2019

2018

Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set.

Nikolas Hesse, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Raphael Weinberger, A. Sebastian Schroeder

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Body pose estimation in depth images for infant motion analysis.

Nikolas Hesse, A. Sebastian Schröder, Wolfgang Müller-Felber, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

Estimating Body Pose of Infants in Depth Images Using Random Ferns.

Nikolas Hesse, Gregor Stachowiak, Timo Breuer, Michael Arens

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2012

Multi-view facial expression recognition using local appearance features.

Nikolas Hesse, Tobias Gehrig, Hua Gao, Hazim Kemal Ekenel

Proceedings of the 21st International Conference on Pattern Recognition, 2012