Jorge Azorín López

Orcid: 0000-0003-4762-6927

Affiliations:
  • University of Alicante, Spain


According to our database1, Jorge Azorín López authored at least 82 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Simultaneous, vision-based fish instance segmentation, species classification and size regression.
PeerJ Comput. Sci., 2024

2023
MDL+ a manufacturing description language to describe and control assembling tasks in industry 4.0.
Log. J. IGPL, July, 2023

Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

An Image Mosaicing-Based Method for Bird Identification on Edge Computing Devices.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

HoloDemtect: A Mixed Reality Framework for Cognitive Stimulation Through Interaction with Objects.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

A Multimodal Dataset to Create Manufacturing Digital Twins.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Advances in Human Body Modelling to Improve the Treatment of Obesity and Overweight.
Proceedings of the Research and Innovation Forum 2023 - Navigating Shocks and Crises in Uncertain Times, 2023

A Performance Evaluation of Lightweight Deep Learning Approaches for Bird Recognition.
Proceedings of the Advances in Computational Intelligence, 2023

3D Human Body Models: Parametric and Generative Methods Review.
Proceedings of the Advances in Computational Intelligence, 2023

2022
A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning.
IEEE Access, 2022

Architecture for Automatic Recognition of Group Activities Using Local Motions and Context.
IEEE Access, 2022

A Review of Deep Learning Methods for Detection of Gatherings and Abnormal Events for Public Security.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Monitoring Human Performance Through Deep Learning and Computer Vision in Industry 4.0.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Efficient instance segmentation using deep learning for species identification in fish markets.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Iterative multilinear optimization for planar model fitting under geometric constraints.
PeerJ Comput. Sci., 2021

IA-CPS: Intelligent architecture for cyber-physical systems management.
J. Comput. Sci., 2021

A Review of Services-Based Architectures for Video Surveillance.
Int. J. Comput. Vis. Image Process., 2021

Deep learning-based visual control assistant for assembly in Industry 4.0.
Comput. Ind., 2021

Predicting Human Actions in the Assembly Process for Industry 4.0.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Local-Global based Deep Registration Neural Network for Rigid Alignment.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Quantification of cultural identity through artificial intelligence: a case study on the Waorani Amazonian ethnicity.
Soft Comput., 2020

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments.
Sensors, 2020

When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs).
CoRR, 2020

ToolSet: A Real-Synthetic Manufacturing Tools and Accessories Dataset.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Manufacturing Description Language for Process Control in Industry 4.0.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Multidimensional Measurement of Virtual Human Bodies Acquired with Depth Sensors.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Event-Based Conceptual Architecture for the Management of Cyber-Physical Systems Tasks in Real Time.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

A Deep Learning Architecture for Recognizing Abnormal Activities of Groups Using Context and Motion Information.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Effect of Migration Flows on the Ethnic Identity of the Indigenous Peoples of the Amazonian Communities.
Proceedings of the Research and Innovation Forum 2020, 2020

Deep Learning Architecture for Group Activity Recognition using Description of Local Motions<sup>*</sup>.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Practical Method of Improving the Teamwork of Engineering Students Using Team Contracts to Minimize Conflict Situations.
IEEE Access, 2019

3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Fire Science Living Lab for Flashover Prediction.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Identification of Factors of Indigenous Ethnic Identity: A Case Study on the Waorani Amazonian Ethnicity.
Proceedings of the Research & Innovation Forum 2019, 2019

Using improved Optical Flow Model to Detect Tuberculosis.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Bioinspired point cloud representation: 3D object tracking.
Neural Comput. Appl., 2018

3D non-rigid registration using color: Color Coherent Point Drift.
Comput. Vis. Image Underst., 2018

Identifying central and peripheral nerve fibres with an artificial intelligence approach.
Appl. Soft Comput., 2018

A Short Review of Deep Learning Methods for Understanding Group and Crowd Activities.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Tuberculosis Detection using Optical Flow and the Activity Description Vector.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
A Quantitative Comparison of Calibration Methods for RGB-D Sensors Using Different Technologies.
Sensors, 2017

An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments.
Sensors, 2017

A Novel Active Imaging Model to Design Visual Systems: A Case of Inspection System for Specular Surfaces.
Sensors, 2017

Evaluation of sampling method effects in 3D non-rigid registration.
Neural Comput. Appl., 2017

Constrained self-organizing feature map to preserve feature extraction topology.
Neural Comput. Appl., 2017

Multi-sensor 3D object dataset for object recognition with full pose estimation.
Neural Comput. Appl., 2017

Automatic Learning Improves Human-Robot Interaction in Productive Environments: A Review.
Int. J. Comput. Vis. Image Process., 2017

An Iterative Method for 3D Body Registration Using a Single RGB-D Sensor.
Int. J. Comput. Vis. Image Process., 2017

A Compilation of Methods and Datasets for Group and Crowd Action Recognition.
Int. J. Comput. Vis. Image Process., 2017

Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review.
Proceedings of the Advances in Computational Intelligence, 2017

3D Body Registration from RGB-D Data with Unconstrained Movements and Single Sensor.
Proceedings of the Advances in Computational Intelligence, 2017

Machine Learning Methods from Group to Crowd Behaviour Analysis.
Proceedings of the Advances in Computational Intelligence, 2017

2016
A Novel Prediction Method for Early Recognition of Global Human Behaviour in Image Sequences.
Neural Process. Lett., 2016

Real time motion estimation using a neural architecture implemented on GPUs.
J. Real Time Image Process., 2016

Group activity description and recognition based on trajectory analysis and neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

PointNet: A 3D Convolutional Neural Network for real-time object class recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Adjustable compression method for still JPEG images.
Signal Process. Image Commun., 2015

3D reconstruction of medical images from slices automatically landmarked with growing neural models.
Neurocomputing, 2015

μ-MAR: Multiplane 3D Marker based Registration for depth-sensing cameras.
Expert Syst. Appl., 2015

A Belief System's Organization Based on a Computational Model of the Dynamic Context: First Approximation.
Cybern. Syst., 2015

Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC.
Appl. Soft Comput., 2015

A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Non-rigid point set registration using color and data downsampling.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Processing point cloud sequences with Growing Neural Gas.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Self-Organizing Activity Description Map to represent and classify human behaviour.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
A Comparative Study of Registration Methods for RGB-D Video of Static Scenes.
Sensors, 2014

Parallel Computational Intelligence-Based Multi-Camera Surveillance System.
J. Sens. Actuator Networks, 2014

A predictive model for recognizing human behaviour based on trajectory representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Model-Based Multi-view Registration for RGB-D Sensors.
Proceedings of the Advances in Computational Intelligence, 2013

Human behaviour recognition based on trajectory analysis using neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Multi-GPU based camera network system keeps privacy using growing neural gas.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2008
Environment for Designing and Simulating Control Networks at Digital Home.
Proceedings of the ICINCO 2008, 2008

2007
Simulation of Automated Visual Inspection Systems for Specular Surfaces Quality Control.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

2006
Visual Input Amplification for Inspecting Specular Surfaces.
Proceedings of the International Conference on Image Processing, 2006

2004
Real Environments Image Labelling Based on Reconfigurable Architectures.
Proceedings of the Field Programmable Logic and Application, 2004

2003
Architecture for Image Labelling in Real Conditions.
Proceedings of the Computer Vision Systems, Third International Conference, 2003

Morphological Applications for Maps Construction in Path Planning Tasks.
Proceedings of the Progress in Pattern Recognition, 2003


  Loading...