Francisco Caetano

PhD Candidate in Generative Modelling

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

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Francisco Caetano

About Me

Making stuff out of noise.

Contact: 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

Publications

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

Francisco Caetano, Pedro Carvalho, Jaime Cardoso

Intelligent Systems with Applications

Visual Data Processing for Anomaly Detection

Francisco Caetano

Master Thesis

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

Francisco Caetano, Pedro Carvalho, Jaime Cardoso

Applied Sciences (MDPI)

Experience

Eindhoven University of Technology

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)
Fraunhofer Portugal AICOS

Computer Vision Researcher
Fraunhofer Portugal AICOS

  • Anomaly Detection for In-Line Visual Inspection
Faculty of Engineering, University of Porto

MSc Electrical Engineering
Faculty of Engineering, University of Porto

  • Graduated with GPA of 18/20
  • Published two journal articles during the Master Thesis
INESC Technology and Science

Research Assistant
INESC TEC - CTM

  • Recognition of human activity with occlusion-handling
  • Real-time trajectory prediction of surrounding vehicles for risk estimation.
Faculty of Engineering, University of Porto

BSc Electrical Engineering
Faculty of Engineering, University of Porto

  • Graduated with GPA of 18/20
This website is based on the one created by Tim Schoonbeek, available here