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Tech4DLab/README.md

Banner UA

📸 Tech4D Research Lab 👀

🏛️ University of Alicante 🏛️

Welcome to the official repository of the Tech4D Research Lab at the University of Alicante. We focus on applied research in Artificial Intelligence, particularly in areas such as machine learning and computer vision. This repository hosts resources, code, datasets, and documentation from our ongoing projects.

🔥 News

  • 13/11/2025 – 🗞️ New Publication Available
    Our work “Zero-Shot Elasmobranch Classification Informed by Domain Prior Knowledge”, by Ismael Beviá-Ballesteros et al., has been published in Machine Learning and Knowledge Extraction (MAKE).

  • 27/10/2025 – 🗞️ New Publication Available
    Comparative Study of Deep Learning Approaches for Fish Origin Classification, published in the Proceedings of IWANN 2025.

  • 25/03/2025 – 🗞️ First public release of the Tech4D Research Lab on GitHub!
    Our official repository is now live, featuring projects on 3D recontruction, fish classification and elasmobranch detection. Stay tuned for updates!

🎥 Media & Conferences

🚀 Active Projects

👩‍⚕️ Tech4Diet – AI for Nutrition 📷

Demo

Tech4Diet Video

🐟 GLORiA – Fish Origin Classification 🔎

🦈 e-Lasmobranc – Fish Species Detection and Classification 🌊

📄 Datasets

🐠 DeepFish Dataset

Garcia-d’Urso, N., Galan-Cuenca, A., Pérez-Sánchez, P. et al.
The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation.
Scientific Data 9, 287 (2022).
👉 https://doi.org/10.1038/s41597-022-01416-0

📚 Download Dataset → Available via Zenodo:

📄 Publications

2026
  • Publications coming soon.
2025

  • 🦈 Zero-Shot Elasmobranch Classification Informed by Domain Prior Knowledge
    Ismael Beviá-Ballesteros, Mario Jerez-Tallón et al.
    Machine Learning and Knowledge Extraction (MAKE).
    📚 MDPI Link

  • 🐟 Comparative Study of Deep Learning Approaches for Fish Origin Classification
    Mario Jerez-Tallón, Ismael Beviá Ballesteros et al.
    Advances in Computational Intelligence (IWANN 2025).
    📚 Springer Link

2024

  • 👩‍⚕️ 3D Reconstruction of the Human Body from Partial Scans Using Parametric Models
    García d'Urso, Nahuel. et al. Proceedings of UCAmI 2024
    📚 Springer Link

  • 🐟 Automatic Identification of Fish Species and Their Farmed or Wild Origin by Computer Vision and Deep Learning
    Jerez, Mario. et al. Proceedings of UCAmI 2024
    📚 Springer Link

👥 Research Team

Name Role GitHub Contact
Dr. Andrés Fuster Guilló Principal Investigator – [email protected]
Dr. Jorge Azorín López Principal Investigator – [email protected]
Dr. Marcelo Saval Calvo Principal Investigator – [email protected]
Dr. Nahuel Emiliano Garcia d'Urso Principal Investigator @nawue [email protected]
Bernabé Sanchez Sos PhD Student @Bernabe19 [email protected]
Ismael Beviá Ballesteros PhD Student @ibevias [email protected]
Mario Jerez Tallón PhD Student @Mariojt72 [email protected]

Pinned Loading

  1. Fish-Origin-Classification Fish-Origin-Classification Public

    GitHub repository for the GLORiA project, part of the Tech4DLab. This module (M1+) focuses on Explainability and Model Transparency.

    Jupyter Notebook 4

  2. CalibMarker CalibMarker Public

    Official code repository for the paper: Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D Reconstruction

    MATLAB 8

  3. multimodal-contrastive-learning-for-clinical-data-alignment-via-fat-composition-representations multimodal-contrastive-learning-for-clinical-data-alignment-via-fat-composition-representations Public

    Python 3

  4. Disentangled-Latent-Space-for-3D-Human-Body-Models-with-CVAE-and-OT Disentangled-Latent-Space-for-3D-Human-Body-Models-with-CVAE-and-OT Public

    Repository of the paper Learning Disentangled Latent Space for 3D Human Body Models with Conditional Variational Autoencoders and Optimal Transport from the UCAMi 2025 conference

    Python 3