Pablo Zegers
Orcid: 0000-0003-3697-2525
According to our database1,
Pablo Zegers
authored at least 28 papers
between 2000 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
2020
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera.
Sensors, 2020
2019
Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks.
Sensors, 2019
Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks.
IET Comput. Vis., 2019
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Comput. Vis. Image Underst., 2018
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks.
CoRR, 2018
CoRR, 2018
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks.
CoRR, 2018
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2016
Entropy, 2016
People Counting in Videos by Fusing Temporal Cues from Spatial Context-Aware Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
2015
2014
CoRR, 2014
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases.
IEEE Comput. Intell. Mag., 2014
2013
2012
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves.
IEEE Trans. Signal Process., 2012
2011
IEEE Signal Process. Lett., 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2007
Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2003
IEEE Trans. Neural Networks, 2003
2002
Determining The Degree of Generalization Using An Incremental Learning Algorithm.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2000
Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000