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
472012
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
272015
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
172018
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
122019
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
102019
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
82018
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
72017
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
62017
General Movement Assessment from videos of computed 3D infant body models is equally effective compared to conventional RGB video rating
AS Schroeder, N Hesse, R Weinberger, U Tacke, L Gerstl, A Hilgendorff, ...
Early Human Development 144, 104967, 2020
32020
Multi-view facial expression classification
N Hesse
Diploma Karlsruher Institutfür Technologie, 2011
32011
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
12017
Analysis of motor development within the first year of life: 3-D motion tracking without markers for early detection of developmental disorders
C Parisi, N Hesse, U Tacke, A Blaschek, M Hadders-Algra, MJ Black, ...
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 63 (7), 881-890, 2020
2020
Analyse der Spontanmotorik im 1. Lebensjahr: Markerlose 3-D-Bewegungserfassung zur Früherkennung von Entwicklungsstörungen
C Parisi, N Hesse, U Tacke, SP Rocamora, A Blaschek, M Hadders-Algra, ...
Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz, 1-10, 2020
2020
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
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
Том. 2016-February. Proceedings-2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015.-Сер. Proceedings-2015 IEEE International Conference on Computer …
N Hesse, G Stachowiak, T Breuer, M Arens, R Palenichka, A Lakhssassi, ...
Santiago 11, 18, 2015
2015
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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