Nahuel E. Garcia-D'Urso

Orcid: 0000-0002-2595-6055

According to our database1, Nahuel E. Garcia-D'Urso authored at least 13 papers between 2020 and 2024.

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

Timeline

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Bibliography

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

Automated anthropometric measurements from 3D point clouds of scanned bodies.
Image Vis. Comput., 2024

Generative shape deformation with optimal transport using learned transformations.
Proceedings of the International Joint Conference on Neural Networks, 2024

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

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

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

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

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

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

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


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