Simon Mezgec Computer Systems Department Jožef Stefan Institute Biography Publications Institution JoVE Articles Simon Mezgec Simon Mezgec is a highly cited researcher in the food image recognition field. Since 2011, he has been working on computer vision problems such as traffic sign detection and medical image processing. Since 2014, he has focused on food and beverage image recognition, making use of deep learning approaches. In 2019, he was selected as a finalist for the DSM Bright Science Award. In 2020, he won second place in the Food Recognition Challenge, the only international food image recognition competition. Publications Diets, Nutrients, Genes and the Microbiome: Recent Advances in Personalised Nutrition The British Journal of Nutrition. Jan, 2021 | Pubmed ID: 33509307 Mixed Deep Learning and Natural Language Processing Method for Fake-food Image Recognition and Standardization to Help Automated Dietary Assessment Public Health Nutrition. 05, 2019 | Pubmed ID: 29623869 NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment Nutrients. Jun, 2017 | Pubmed ID: 28653995 Görüntü Tabanlı Diyet Değerlendirmesi için Derin Sinir Ağları Simon Mezgec1, Barbara Koroušić Seljak2 1Jožef Stefan International Postgraduate School, 2Computer Systems Department, Jožef Stefan Institute JoVE 61906 Engineering
Görüntü Tabanlı Diyet Değerlendirmesi için Derin Sinir Ağları Simon Mezgec1, Barbara Koroušić Seljak2 1Jožef Stefan International Postgraduate School, 2Computer Systems Department, Jožef Stefan Institute JoVE 61906 Engineering
