Francisco Caetano
PhD Candidate at Eindhoven University of Technology

About Me

Making stuff out of noise.

f.t.de.espirito.santo.e.caetano@tue.nl

Projects

GenerativeZoo: A Unified Repository of Generative Models for Computer Vision

Francisco Caetano, Christiaan Viviers, Peter H.N. de With, Fons van der Sommen

GitHub Repository

Project Page Technical report GitHub
GenerativeZoo

Publications

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs

Francisco Caetano, C. Viviers, L. Filatova, P.H.N. de With, F. van der Sommen

SPIE Medical Imaging 2025

Runner-up 2025 Robert F. Wagner All-Conference Best Student Paper Award

Project Page Publication GitHub
AdverX-Ray

Unveiling the Performance of Video Anomaly Detection Models—a Benchmark-based Review

Francisco Caetano, Pedro Carvalho, Jaime Cardoso

Intelligent Systems with Applications

Publication
Unveiling the Performance

Visual Data Processing for Anomaly Detection

Francisco Caetano

Master Thesis

Publication
Visual Data Processing for Anomaly Detection

Deep Anomaly Detection for In-Vehicle Monitoring—An Application-Oriented Review

Francisco Caetano, Pedro Carvalho, Jaime Cardoso

Applied Sciences (MDPI)

Publication
Deep Anomaly Detection for In-Vehicle Monitoring

Experience

PhD Candidate
Eindhoven University of Technology

  • Generative artificial intelligence for tailored synthetic image generation
  • Supervision of dr.ir. Fons van der Sommen (Associate Professor at TU/e)
Eindhoven University of Technology

Computer Vision Researcher
Fraunhofer Portugal AICOS

  • Anomaly Detection for In-Line Visual Inspection
Fraunhofer Portugal AICOS

MSc Electrical Engineering
Faculty of Engineering, University of Porto

  • Graduated with GPA of 18/20
  • Published two journal articles during the Master Thesis
Faculty of Engineering, University of Porto

Research Assistant
INESC TEC - CTM

  • Recognition of human activity with occlusion-handling
  • Real-time trajectory prediction of surrounding vehicles for risk estimation.
INESC Technology and Science

BSc Electrical Engineering
Faculty of Engineering, University of Porto

  • Graduated with GPA of 18/20
Faculty of Engineering, University of Porto