Personalised nutrition for healthy living: The PROTEIN project
S. Wilson-Barnes, L. P. Gymnopoulos, K. Dimitropoulos, V. Solachidis, K. Rouskas, D. Russell, Y. Oikonomidis, S. Hadjidimitriou, J. María Botana, B. Brkic, E. Mantovani, S. Gravina, G. Telo, E. Lalama, R. Buys, M. Hassapidou, S. Balula Dias, A. Batista, L....
Read MoreNoise-Assisted Multivariate variational mode decomposition
Charilaos A. Zisou, Georgios K. Apostolidis, Leontios J. Hadjileontiadis The variational mode decomposition (VMD) is a widely applied optimization-based method, which analyzes nonstationary signals concurrently. Correspondingly, its recently proposed multivariate extension, i.e., MVMD, has shown great potentials in analyzing multichannel...
Read MoreA Deep Network for Automatic Video-Based Food Bite Detection
Dimitrios Konstantinidis, Kosmas Dimitropoulos, Ioannis Ioakimidis, Billy Lang-Le, Petros Daras Past research has now provided compelling evidence pointing towards correlations among individual eating styles and the development of (un)healthy eating patterns, obesity and other medical conditions. In this setting, an...
Read MoreA Cross-Modal Variational Framework For Food Image Analysis
T. Theodoridis, V. Solachidis, K. Dimitropoulso, and P. Daras Food analysis resides at the core of modern nutrition recommender systems, providing the foundation for a high-level understanding of users’ eating habits. This paper focuses on the sub-task of ingredient...
Read MoreSingle Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks
Graikos A., Charisis V., Iakovakis D., Hadjidimitriou S., Hadjileontiadis L. (2020) Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks. In: Antona M., Stephanidis C. In this work, we present a system that can estimate food volume from a...
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