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![PhD - Mixture Models for Light Field Data]()
IDLab-MEDIA
Our research team (part of Ghent University and imec) focuses on the representation, processing, compression and interactive delivery of emerging visual media formats.
TGIF2 - Extended Text-Guided Inpainting Forgery Dataset and Benchmark
TGIF2 - Extended Text-Guided Inpainting Forgery Dataset and Benchmark was accepted at Journal on Information Security.
WACV26 - Ignoring the Decoy
Our paper titled "Ignoring the Decoy - A Novel Approach for Robust Image Forensics" was accepted at the SynRDinBAS workshop at WACV 2026
Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra
We present Generative Anchored Fields (GAF), a generative model that learns independent endpoint predictors, J (noise) and K (data), from any point on a linear bridge.
N-AI-tingale - Early Detection of Patient Deterioration with AI
Harnessing the power of nurse’s intuition to predict in-hospital patient deterioration by developing a machine learning algorithm to detect clinical cues in video and audio
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PhD - Mixture Models for Light Field Data
PhD - Efficient Optimization and Rendering of Wide Mixture Models for Light Field Data
