Pablo Zegers

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 16

Top Topics

Fisher Information

Convolutional Neural Networks

Relative Entropy

Top Venues

Publications

Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Video-based Human Action Recognition using Deep Learning: A Review. CoRR (2022)
Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastin, Pablo Zegers
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera. Sensors 20 (7) (2020)
Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera. CoRR (2019)
Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data. ICIAR (1) (2019)
Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data. CoRR (2019)
Huy-Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks. Sensors 19 (8) (2019)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks. IET Comput. Vis. 13 (3) (2019)
Eder Santana, Matthew S. Emigh, Pablo Zegers, José C. Príncipe
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Exploiting deep residual networks for human action recognition from skeletal data. Comput. Vis. Image Underst. 170 (2018)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks. CoRR (2018)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks. ICIP (2018)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks. CoRR (2018)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Exploiting deep residual networks for human action recognition from skeletal data. CoRR (2018)
Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks. CoRR (2018)
Pablo Zegers, B. Roy Frieden, Carlos Alarcón, Alexis Fuentes
Information Theoretical Measures for Achieving Robust Learning Machines. Entropy 18 (8) (2016)
Panos Sourtzinos, Sergio A. Velastin, Miguel Jara, Pablo Zegers, Dimitrios Makris
People Counting in Videos by Fusing Temporal Cues from Spatial Context-Aware Convolutional Neural Networks. ECCV Workshops (2) (2016)
Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, José C. Príncipe, Pablo Zegers
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. CoRR (2015)
Pablo Zegers
Fisher Information Properties. Entropy 17 (7) (2015)
Pavlos Protopapas, Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José C. Príncipe
A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set. CoRR (2014)
Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, José C. Príncipe, Pablo Zegers
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. IEEE Comput. Intell. Mag. 9 (3) (2014)
Pablo Zegers, Alexis Fuentes, Carlos Alarcón
Relative Entropy Derivative Bounds. Entropy 15 (7) (2013)
Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Pablo Zegers, José C. Príncipe
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves CoRR (2012)
Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Pablo Zegers, José Carlos Príncipe
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves. IEEE Trans. Signal Process. 60 (10) (2012)
Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José Carlos Príncipe, Pavlos Protopapas
Period Estimation in Astronomical Time Series Using Slotted Correntropy. IEEE Signal Process. Lett. 18 (6) (2011)
Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José Carlos Príncipe, Pavlos Protopapas
Period Estimation in Astronomical Time Series Using Slotted Correntropy CoRR (2011)
Pablo A. Estévez, Pablo Huijse, Pablo Zegers, José C. Príncipe, Pavlos Protopapas
Period detection in light curves from astronomical objects using correntropy. IJCNN (2010)
Rodolfo García-Rodríguez, Pablo Zegers, Vicente Parra-Vega
Bounded-time system identification under neuro-sliding training. IJCNN (2009)
Pablo Zegers, Gonzalo Correa
Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems. IJCNN (2007)
Pablo Zegers, Jose G. Johnson
Exponential Transitions: Telltale Sign of Consistency in Learning Systems. IJCNN (2006)
José Delpiano, Pablo Zegers
Semi-Autonomous Neural Networks Differential Equation Solver. IJCNN (2006)
Pablo Zegers, Jose G. Johnson
Consistent Density Function Estimation with Multilayer Perceptrons. IJCNN (2006)
Pablo Zegers, Malur K. Sundareshan
Trajectory generation and modulation using dynamic neural networks. IEEE Trans. Neural Networks 14 (3) (2003)
Pablo Zegers, Malur K. Sundareshan
Determining The Degree of Generalization Using An Incremental Learning Algorithm. HIS (2002)
Pablo Zegers, Malur K. Sundareshan
Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories. IJCNN (3) (2000)