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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.
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
Xander Staelens Wins Audience's Choice Award at FEARS 2025
Xander Staelens wins the Audience’s Choice Award at FEARS 2025 for his poster on improving image forgery detection by making existing methods more robust to visual distractions like logos and captions.