Projects
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 ...
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 ...
From Text to Time: Machine Learning Approaches to Temporal Information Extraction from Text KU Leuven
Temporal information extraction is and has been a crucial aspect of automatic language understanding. With the increase in digitization of texts like news papers, but also electronic health records, high quality extraction of temporal information about the described events gives rise to many applications, like question answering, summarization, temporal information retrieval, and automatic timeline visualization.
In this dissertation, ...
Machine Learning for Energy Performance Prediction in Early Design Stage of Buildings KU Leuven
The early building design is an iterative process. In this process, architects and engineers evaluate different design concepts to ensure the design brief is fulfilled. The rising need for a design to adhere to certain performance has introduced building performance simulation (BPS) into the design process. Early design decisions have the highest impact on building performance. Therefore, it is important to make good design decisions at this ...
Latent Variable Models for Language and Image Understanding in Social Media and E-Commerce Data KU Leuven
More content has been created in the past few years than in the entire history of humankind. With the exponential growth of user-contributed content, it becomes increasingly important to develop systems capable to intelligently process both language and images.
While understanding language appears effortless for humans from a young age, for computers, this is quite a challenging task. Inherently, languages are ambiguous and rich. Many ...
Deep learning for quality control of crowdsourced data and seamless weather forecasting. Vrije Universiteit Brussel
crowdsourced and novel satellite observations, has increased
tremendously in recent years. Together with high-resolution weather
models, these new data sources have the potential to yield better
forecasts and protect society from climate extremes. However, current
weather forecasting systems do not make full use of this vast amount
of heterogeneous and ...
Objectifying Assessment of Human Emotional Processing and Expression of Clinical and Psychotherapy Applications (EMO-App) Vrije Universiteit Brussel
User modeling for personalized Ad retrieval KU Leuven
The era of Social Media-as we know it today-started around the early 2000s. Social media enable a form of virtual content sharing that is fundamentally different than before. Social media content is no longer created and published by specific individuals, but instead is continuously modified by all users in a collaborative fashion. Nowadays, users around the world are taking advantage of social media as one of their key components of ...
Advanced Solutions for Neonatal Sleep Analysis and the Effects of Maturation KU Leuven
Worldwide approximately 11% of the babies are born before 37 weeks of gestation. The survival rates of these prematurely born infants have steadily increased during the last decades as a result of the technical and medical progress in the neonatal intensive care units (NICUs). The focus of the NICUs has therefore gradually evolved
from increasing life chances to improving quality of life. In this respect, promoting and supporting optimal ...