no code implementations • 11 May 2018 • Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Predicting the geographical location of users on social networks like Twitter is an active research topic with plenty of methods proposed so far.
no code implementations • 21 Dec 2017 • Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
In the context of Twitter user geolocation, we realize MENET with textual, network, and metadata features.
no code implementations • 14 Jul 2016 • Nikos Deligiannis, Joao F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
Our dictionary learning framework can be tailored both to a single- and a multi-scale framework, with the latter leading to a significant performance improvement.
no code implementations • 20 May 2016 • Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
In support of art investigation, we propose a new source sepa- ration method that unmixes a single X-ray scan acquired from double-sided paintings.
no code implementations • 22 Apr 2013 • Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David Dunson
The preservation of our cultural heritage is of paramount importance.
no code implementations • 18 Oct 2019 • Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Deep learning methods have been successfully applied to various computer vision tasks.
no code implementations • 21 Jan 2020 • Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
The deep unfolding architecture is used as a core component of a multimodal framework for guided image super-resolution.
no code implementations • 7 Sep 2020 • Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Multimodal image super-resolution (SR) is the reconstruction of a high resolution image given a low-resolution observation with the aid of another image modality.