Multi-view facial expression recognition using local appearance features. - Nikolas Hesse; Tobias Gehrig; Hua Gao; Hazim Kemal Ekenel (ICPR, 2012)

Estimating Body Pose of Infants in Depth Images Using Random Ferns. - Nikolas Hesse; Gregor Stachowiak; Timo Breuer 001; Michael Arens (ICCV Workshops, 2015)

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 (EMBC, 2017)

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 (ECCV Workshops (6), 2018)

Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis. - Nikolas Hesse; Sergi Pujades; Javier Romero 002; Michael J. Black; Christoph Bodensteiner; Michael Arens; Ulrich G. Hofmann; Uta Tacke; Mijna Hadders-Algra; Raphael Weinberger; Wolfgang Müller-Felber; A. Sebastian Schroeder (MICCAI (1), 2018)

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)

Unobtrusive medical infant motion analysis from RGB-D data - Nikolas Hesse (2019)

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)

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, 2023)