Nikolas Hesse
Nikolas Hesse
University Children's Hospital Zurich
Bestätigte E-Mail-Adresse bei kispi.uzh.ch
Titel
Zitiert von
Zitiert von
Jahr
Multi-view facial expression recognition using local appearance features
N Hesse, T Gehrig, H Gao, HK Ekenel
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
412012
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
232015
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
92018
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, ...
Computer Vision - ECCV 2018 Workshops, 32-49, 2018
52018
Markerless motion analysis for early detection of infantile movement disorders
N Hesse, AS Schroeder, W Müller-Felber, C Bodensteiner, M Arens, ...
EMBEC & NBC 2017, 197-200, 2017
52017
Body pose estimation in depth images for infant motion analysis
N Hesse, AS Schröder, W Müller-Felber, C Bodensteiner, M Arens, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
42017
The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements
S Pujades, B Mohler, A Thaler, J Tesch, N Mahmood, N Hesse, ...
IEEE transactions on visualization and computer graphics 25 (5), 1887-1897, 2019
32019
Multi-view facial expression classification
N Hesse
Diploma Karlsruher Institutfür Technologie, 2011
32011
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
N Hesse, S Pujades, M Black, M Arens, U Hofmann, S Schroeder
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
22019
Skinned Multi-Person Linear Model
S Pujades, J Romero, M Black, N Hesse
US Patent App. 16/550,266, 2020
2020
FV 318. Infant Automated Motion Recognition Technology Using RGB-Depth Sensors for Markerless, Rater-Independent Detection of Abnormal Movements in Early Infancy—In a Motion …
S Schröder, N Hesse, U Tacke, R Weinberger, A Schulz, K Vill, ...
Neuropediatrics 49 (S 02), FV318, 2018
2018
Developmental neurology-networked medicine and new perspectives
U Tacke, H Weigand-Brunnhölzl, A Hilgendorff, RM Giese, AW Flemmer, ...
Der Nervenarzt 88 (12), 1395-1401, 2017
2017
Entwicklungsneurologie–vernetzte Medizin und neue Perspektiven
U Tacke, H Weigand-Brunnhölzl, A Hilgendorff, RM Giese, AW Flemmer, ...
Der Nervenarzt 88 (12), 1395-1401, 2017
2017
Performance evaluation of image-based location recognition approaches based on large-scale UAV imagery
N Hesse, C Bodensteiner, M Arens
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII …, 2014
2014
Supplementary Material: 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, ...
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