Projects
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 ...
Weakly supervised machine learning algorithms for object recognition in-the-wild and entity linking in videos KU Leuven
With the proliferation of video-rich data on the Internet, there is a pressing need for search tools that can retrieve not only relevant videos from a corpus, but also relevant snippets within a video. For retrieving relevant videos, current search technologies hinge on labor-intensive manual annotation of tags, which are subjective and often incomplete. To fully automate search and retrieval systems, we need tools that can understand the ...
Context-Aware Fashion Recommendations through Image Processing and Conversational Language Technology. University of Antwerp
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 ...