Research

Our research focuses on advancing the fields of Computer Vision, Image Processing, and Machine Learning, with particular emphasis on 3D Shape Modeling, Multi-modal Sensing, and Geometric Deep Learning. We develop innovative solutions for real-world applications including Face Recognition, DeepFake Detection, Human Body Modeling, and Space Situational Awareness.

  • Space Situational Awareness

    3D Shape Modeling

    Research on geometric modeling and analysis of 3D shapes.

    • Geometric modeling of rigid and non-rigid 3D shapes
    • Statistical and topological modeling
    • Deep learning approaches for 3D reconstruction
    • Human body modeling and reconstruction
    related publications
  • Space Situational Awareness

    DeepFake Detection

    Cutting-edge research in digital media manipulation detection.

    • Multi-modal deepfake detection
    • Temporal analysis of manipulated videos
    • Face forgery detection
    • Robust detection methods
    related publications
  • Space Situational Awareness

    Space Situational Awareness

    Advanced research in space object detection and tracking.

    • Spacecraft pose estimation
    • Space object tracking
    • Multi-sensor fusion for space applications
    • Deep learning for space imagery
    related publications

Projects

  • Unsupervised Domain Adaptation for Spacecraft Pose Estimation

    Research on domain adaptation techniques for spacecraft pose estimation.

    Funding: LMO

    Duration: 2024-2026

    Budget: 300k€

  • DIOSSA (Phase 2) – Deep Learning-based In-orbit Space Situational Awareness

    Research on advanced deep learning techniques for space situational awareness, focusing on spacecraft pose estimation and tracking.

    Funding: ESA

    Duration: 2024-2026

    Budget: 700k€

  • Model Optimization for Satellite Pose Estimation

    Research on optimization techniques for satellite pose estimation models.

    Funding: Infinite Orbits (Industry)

    Duration: 2024-2026

    Budget: 112k€

  • AI4CC – HPC and Advanced AI For Crop Classification Using High Resolution Satellites

    Development of AI and HPC solutions for crop classification using satellite imagery.

    Funding: FNR (Joint HPC Call)

    Duration: 2023-2025

    Budget: 400k€

  • ENERGETIC – Next Generation Battery Management System Based On Data Rich Digital Twin

    Development of advanced battery management systems using digital twin technology.

    Funding: Horizon Europe

    Duration: 2023-2026

    Budget: 500k€

  • ROBOCOMP – Robotic Process Automation in Anti-Money Laundering (AML) Compliance

    Implementation of robotic process automation for AML compliance procedures.

    Funding: FNR (NCER)

    Duration: 2023-2024

    Budget: 180k€

  • AUREA – Autonomous Recognition of Foreign Assets

    Development of autonomous systems for foreign asset recognition.

    Funding: FNR (Joint Defence Call)

    Duration: 2023-2026

    Budget: 700k€

  • SPRING – Space Response to Risk & Integration with Ground segment

    Research on space-based risk response and ground segment integration.

    Funding: Subcontracting – EDF

    Duration: 2023-2025

    Budget: 200k€

  • ELITE – Deep Fake Detection Using Spatio-Temporal-Spectral Representations for Effective Learning

    Advanced deep fake detection using multi-dimensional representations.

    Funding: FNR (CORE)

    Duration: 2022-2025

    Budget: 750k€

  • DIOSSA (Phase 1) – Deep Learning-based In-orbit Space Situational Awareness

    Initial phase of research on deep learning for space situational awareness.

    Funding: ESA (LuxImpulse)

    Duration: 2021-2023

    Budget: 429k€

  • CASCADES – Deep Constrained Sequence modelling of CAD for reverse Engineering from 3d Scans

    Development of deep learning models for CAD reverse engineering.

    Funding: FNR Industrial Fellowship

    Duration: 2021-2024

    Budget: 184k€

  • FREE3D – Feature-based Reverse Engineering of 3D Scans

    Research on feature-based approaches for 3D scan reverse engineering.

    Funding: FNR BRIDGES (Industrial)

    Duration: 2022-2025

    Budget: 400k€

  • UNFAKE – Deep Fake Detection Using Spatio-Temporal-Spectral

    Development of deep fake detection systems using multi-dimensional analysis.

    Funding: FNR Industrial Fellowship

    Duration: 2021-2024

    Budget: 184k€

  • Zero-G Lab project

    Research and development in zero gravity environments.

    Funding: Ministry of Economy

    Duration: 2021-2022

    Budget: 180k€

  • FakeDeTeR – Deep Fake Detection Using Spatio-Temporal-Spectral Representations for Effective Learning

    Advanced systems for detecting deep fakes using multiple analytical dimensions.

    Funding: FNR BRIDGES (Industrial)

    Duration: 2022-2025

    Budget: 400k€

  • OBSERVE – On Board poSe Estimation of uncoopeRatiVe spacecraft through Ellipsoid modeling

    Research on spacecraft pose estimation using ellipsoid modeling.

    Funding: FNR Industrial Fellowship

    Duration: 2021-2024

    Budget: 184k€

  • Proving Digital Asset Integrity using DeepFake Detection

    Research on verifying digital asset integrity through deepfake detection.

    Funding: POST Telecom (Industry)

    Duration: 2021-2024

    Budget: 393k€

  • Skytrust – Authenticate Digital Assets Using Space Data

    Development of methods to authenticate digital assets using space-derived data.

    Funding: ESA

    Duration: 2021-2022

    Budget: 194k€

  • Remix Science: The Sound of Data

    Project exploring the sonification of scientific data.

    Funding: Esch 22

    Duration: 2021-2022

    Budget: 37k€

Research Facilities

  • SnT Space Zero-Gravity Lab

    State-of-the-art facility for space-related research and testing, equipped with advanced imaging and sensing equipment.

    SnT Space Zero-Gravity Lab
  • Computer Vision Laboratory

    Dedicated lab space for computer vision research, equipped with high-performance computing resources and specialized hardware.

    Computer Vision Laboratory