Projects

In the age of artificial intelligence, identifying anyone in public space through facial recognition is becoming faster and easier. However, the technologies are not without flaws. Recent studies have shown that the technologies are prone to gender and skin-colour biases, and not highly accurate. Despite their imperfections, governments around the world deploy the technologies at a breakneck pace. Strong criticisms have been heard over the ...

The human brain consists of distributed functional networks that are considered to work independently. This project investigates whether they compete with each other for limited cortical space instead. If for example reading and face recognition indeed influence each other then dynamic changes should be observed in: 1)Left-handers with an atypical right hemispheric language dominance, 2)Dutch-speaking students learning the non-alphabetic ...

It is widely accepted that the success of vision algorithms depends to a large extent on the chosen image or video representation. Different representations can capture different semantic factors of the data and bring robustness to various factors such as image noise, clutter, blur, etc. In this thesis, we concentrate our efforts to find state-of-the-art appearance-based image and video representations for various computer vision tasks namely ...

Title: Modeling facial shape from DNA

Content:

The face is the autobiography of a person. Its physical overt characteristics and the intriguing exhibition of expressions each individual can perform, justify the attraction and intense investigation grown through the history of visual arts and literature. In science, the study of the face – considered as a melting pot of complex traits – still lacks a strong ...

Localized brain damage can result in relatively specific problems in
mental faculties, including problems with visual recognition. It is still a
matter of debate why certain deficits and combinations of deficits
occur. Recent evolutions in human neuroscience, including our own
work, have revealed the complexity of the system that supports
visual recognition, and models such as deep neural networks (DNNs)
have ...

Many phenomena in fusion plasmas exhibit stochasticity, such as fluctuations due to turbulent transport of heat and particles, characteristics of plasma instabilities, etc. Inference of physical quantities and model parameters needs to account for additional sources of uncertainty due to measurement error and model uncertainty. In the face of these various levels of uncertainty, a probabilistic approach for analyzing the data is appropriate. ...