Francisco Caetano

Publications

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

Francisco Caetano, Pedro Carvalho, Jaime Cardoso

Intelligent Systems with Applications

Publication

Visual Data Processing for Anomaly Detection

Francisco Caetano

Master Thesis

Publication

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

Francisco Caetano, Pedro Carvalho, Jaime Cardoso

Applied Sciences (MDPI)

Publication

Experiences

PhD Candidate
Eindhoven University of Technology

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

Computer Vision Researcher
Fraunhofer Portugal AICOS

• Anomaly Detection for In-Line Visual Inspection

MSc Electrical Engineering
Faculty of Engineering, University of Porto

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

Research Assistant
INESC Technology and Science - Associate Laboratory

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

BSc Electrical Engineering
Faculty of Engineering, University of Porto

• Graduated with GPA of 18/20