Projects
3D semantic change detection exploiting multi-modal Earth Observation big data KU Leuven
Develop robust and efficient machine learning and deep learning methods to interpret geolocated imagery and process the pixel information into useful information for construction stakeholders
Cross-Modal and Cross-Lingual Information Search and Retrieval. KU Leuven
This project focuses on extending and combining the multi-idiomatic and multi-modal settings to highly noisy and unstructured data, as naturally found on the Web (e.g., on social media, e-commerce sites, blog posts, etc.). I propose to develop novel multi-modal, multi-lingual and multi-idomatic retrieval and search models, grounded on the successful deep learning framework, to create innovative technology that jointly performs text analysis ...
Expressive Music Interaction Ghent University
This project aims at finding solutions for the semantic gap between music experience and digital encoding of music. To close this gap, this project aims at investigating how the human body can be given a technological extension so taht fluent activities in music production and music information retrieval become possible. The focus is on subjective-oriente approaches (such as multi-modality, cultural/social contexts, subjective factors) that ...