Projects
Deep Learning Methods for Global Illumination Transport in Computer Graphics KU Leuven
The global illumination light transport problem is a longstanding problem in computer graphics. Given the description of a 3D virtual scene, a photo-realistic image is generated. The state-of-the-art algorithms are all based Monte Carlo integration techniques. Recent advances in image synthesis have included machine learning principles such that the computational effort per pixel can be reduced. These techniques are often aimed at stochastic ...
A modular consistent, disciminative framework for structured output learning in computer vision. KU Leuven
State of the art computer vision systems are fundamentally reliant on statistical learning to optimize performance on a specific application. Currently, statistical frameworks in computer vision are typically based on classification and regression, probabilistic graphical models, or discriminative structured prediction frameworks such as the Structured Output Support Vector Machine (SOSVM). Although some of the best performing ...
Using Generated Data to Train Computer Vision Models. Hasselt University
A Modular, Consistent, Discriminative Framework for Structured Output Learning in Computer Vision. KU Leuven
State of the art computer vision systems are fundamentally reliant on statistical learning to optimize performance on a specific application. Currently, statistical frameworks in computer vision are typically based on classification and regression, probabilistic graphical models, or discriminative structured prediction frameworks such as the Structured Output Support Vector Machine (SOSVM). Although some of the best performing computer vision ...
Prediction of gait neuromechanics following orthopedic interventions in children with cerebral palsy using computer simulations based on personalized models KU Leuven
Children with cerebral palsy (CP) suffer from a brain lesion that leads to impaired motor control, spasticity and muscle weakness. All these factors undermine the subjects' gait performance and, with time, will pose limitation to their mobility, independence and self-care. Orthopedic interventions aim at improving the walking performance. However, functional outcomes are not always as expected and, often, follow up surgery is needed to ...
Photonic Network-on-Wafer for Multi-Tile GPUs: From Architecture to Hardware Implementation Ghent University
A new compute paradigm is proposed, based on large arrays of graphics processing units (GPUs) that are interconnected via a wafer-scale photonic network. This results in unprecedented performance at low power. A holistic study of this new paradigm will be carried out, ranging from the design of a suitable computer and network architecture to the implementation of key hardware components.