Marcelo Saval-Calvo

Orcid: 0000-0002-6245-5145

According to our database1, Marcelo Saval-Calvo authored at least 43 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

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

Global Point Cloud Registration Network for Large Transformations.
CoRR, 2024

Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study.
CoRR, 2024

2023
A Deep Approach for Volumetric Tractography Segmentation.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

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

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

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

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

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

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
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

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

Hybrid Multi-camera Visual Servoing to Moving Target.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

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

A Review of the Bayesian Occupancy Filter.
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

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

Best Viewpoint Tracking for Camera Mounted on Robotic Arm with Dynamic Obstacles.
CoRR, 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

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

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

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


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