Research
Reproducible research
I am heavily invested in the IPOL (Image Processing On Line) journal and demo system for open science and reproducible research. In particular, I have been organizing the IPOL MLBriefs workshop and hackhathon since its creation. Continue reading Reproducible research
Positional Learning
I invented POsitional LeARning (Polar), a novel training scheme for CNNs that implicitly reveals underlying spatial or spectral information and can highlight its inconsistencies. Positional learning has already been applied successfully to AI-generated image detection, and mosaic inconsistency detection, for image forensics. Continue reading Positional Learning
Multimedia forensics
I detect fake images, that have been forged, manipulated or entirely AI-generated, by reverse-engineering the image and its processing pipeline. Continue reading Multimedia forensics
Image processing
Image and video processing is an underlying but central topic to most of my research. Continue reading Image processing