Pablo Zegers

Université Toulouse III - Paul Sabatier — France

Computer Science · Physical Sciences

14h-index733citations54works0.02yr avg
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Research Topics

Human Pose and Action Recognition(20), Neural Networks and Applications(13), Anomaly Detection Techniques and Applications(10), Video Surveillance and Tracking Methods(8), Gait Recognition and Analysis(7)

Publications54 total

Video-based Human Action Recognition using Deep Learning: A Review
arXiv (Cornell University)·2022· 24 citedOpen Access
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
Sensors·2020· 4 citedOpen Access
Skeletal Movement to Enhanced Color Map: A Novel Representation for Rgb-d Based 3D Human Action Recognition with Densely Connected Convolutional Networks
HAL (Le Centre pour la Communication Scientifique Directe)·2019· 1 cited
A Unified Deep Framework for Joint 3D Pose Estimation and Action\n Recognition from a Single RGB Camera
arXiv (Cornell University)·2019· 2 citedOpen Access
A Deep Learning Approach for Real-Time 3D Human Action Recognition from\n Skeletal Data
arXiv (Cornell University)·2019Open Access
Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach.
PubMed·2019· 8 cited
Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach
Archivos de la Sociedad Española de Oftalmología (English Edition)·2019· 6 cited
El ojo seco está relacionado con un aumento intrasujeto de la variabilidad de osmolaridad lagrimal confirmado por tecnología de aprendizaje de máquinas
Archivos de la Sociedad Española de Oftalmología·2019· 9 citedOpen Access
Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks
Sensors·2019· 35 citedOpen Access
Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks
Preprints.org·2019· 11 citedOpen Access
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
Lecture notes in computer science·2019· 2 citedOpen Access
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)·2019· 6 citedOpen Access
Learning to recognise 3D human action from a new skeleton‐based representation using deep convolutional neural networks
IET Computer Vision·2018· 40 citedOpen Access
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks
2018· 14 citedOpen Access
Skeletal Movement to Color Map: A Novel Representation for 3D Action\n Recognition with Inception Residual Networks
arXiv (Cornell University)·2018Open Access
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks
Open Archive Toulouse Archive Ouverte (University of Toulouse)·2018· 6 citedOpen Access
Exploiting deep residual networks for human action recognition from skeletal data
Computer Vision and Image Understanding·2018· 80 citedOpen Access
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks
IEEE Transactions on Neural Networks and Learning Systems·2017· 13 cited
Learning and recognizing human action from skeleton movement with deep residual neural networks
2017· 18 citedOpen Access
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks
arXiv (Cornell University)·2016· 2 citedOpen Access
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Frequent Co-authors

Sergio A. Velastín(16), Louahdi Khoudour(15), Alain Crouzil(15), Houssam Salmane(8), Huy Hieu Pham(8), José C. Prı́ncipe(7), Malur K. Sundareshan(7), P. Huijse(5), P. A. Estévez(5), Pavlos Protopapas(5), Huy‐Hieu Pham(5), Rodrigo Fernández(3), Cristián Cartes(3), D. Salinas(3), Christian Segovia(3), C. Ahumada(3), Felipe Valenzuela(3), Nicole L. Lanza(3), Rigoberto Solı́s(3), Victor L. Perez(3)