Projects
Software Technologies for Multi-Tenant Internet of Things Platforms KU Leuven
The Internet of Things (IoT) is an evolution in the information technology landscape where intelligence is being embedded in everyday Things through computation, communication, actuation, and sensing capabilities.
The rapid growth and unique characteristics of the IoT introduce new challenges due to the heterogeneity in hardware and software and a lack of lightweight mature software technologies.
IoT infrastructures cannot sustain ...
Bridging the Image and Text Spaces with Neural Network Methods for Multimodal Representation Learning and Spatial Understanding KU Leuven
In the recent years, the emergence of deep learning models has greatly advanced computer vision and natural language processing (NLP). These models allow producing feature representations for images and words. For example, convolutional neural networks (CNN) and Mikolov’s et al. skip-gram model are popular means to extract such features from images and text corpora respectively. These representations are typically employed either in concept ...
Continual Learning: how to defy catastrophical forgetting KU Leuven
Lately there have been impressive improvements in the fields of Machine Intellegence and AI. The problem with these recent models is that they are not able to adapt or evolve. This is problematic when the model has to learn a new category or label, a new action or behavior or something else. The only way a static model can adapt and learn something new is by retraining on all previous data and the new data combined. This means that all ...
End-to-end Training of Deep Neural Networks for Monocular Autonomous Navigation - A Feasibility Study KU Leuven
This PhD investigates the feasibility of applying Deep Learning methods to monocular autonomous navigation. Deep Learning has shown impressive results over the last seven years in computer vision, moving from hand crafted algorithms to end-to-end learned models. Whether the same idea of moving from hand crafted algorithms to end-to-end trained deep neural networks is also applicable to monocular navigation is still an open ...
Solving Systems of Polynomial Equations KU Leuven
Systems of polynomial equations arise naturally from many problems in applied mathematics and engineering. Examples of such problems come from robotics, chemical engineering, computer vision, dynamical systems theory, signal processing and geometric modeling, among others. The numerical solution of systems of polynomial equations is considered a challenging problem in computational mathematics. Important classes of existing methods are ...
Deep Learning Models for Generating Text Summaries from Videos KU Leuven
In recent years, there has been a growing interest in bridging different modalities in the deep learning community. This project aims at developing deep learning models for automatically generating text summaries from videos. Through this project, we expect to find better ways to integrate textual and visual modalities into an end-to-end model. Apart from that, text summarization techniques, including abstractive text summarization and ...
Strategic Research Programme: Center for model-based system improvement - From Computer-Aided Engineering to Model-Aided Engineering Vrije Universiteit Brussel
Model-based active thermography for contactless quality assessment in the agro-food industry KU Leuven
In the agro-food industry, there is an increasing demand for non-destructive quality inspection tools that allow to inspect every individual product. This is the result of an increased focus on food safety and quality over the past decades. Several fast, non-destructive and contactless technologies have been studied for food quality inspection, many of them based on the interaction of electromagnetic radiation with the food product. ...
Dynamics of natural hazards and disasters in tropical Africa Vrije Universiteit Brussel
making due to the increasing impacts of climate change and natural hazards. In
parallel, land use changes due to the deforestation and the expansion of urban
areas and human infrastructures in general lead to more disasters, both in space
and time. In the present work, we propose to support a PhD research dedicated
to the study of the ...