Responsable : Clément Chion
Mots clés : Computer Vision, Machine Learning, Fine-grained Recognition, Deep Metrics.
Titre du projet : Beluga Re-Identification for population monitoring
Projet de recherche : Aid in the research and development of tools for individual identification of beluga whales. Individual Identification of beluga whales is a challenging task. What makes it harder as compared to other species like tigers and leopards is the absence of unique patterns on their bodies. Additionally, the limited data and skewed data distribution across different identities make it challenging to employ off a shelf deep learning solution. Therefore, in this project, we aim to pull tools from traditional machine learning, geometry, and deep learning to achieve our desired task.
Communications scientifiques (publications et rapports) :
V. M. Araújo, A. S. Britto, A. L. Brun, A. L. Koerich and R. Falate, "Multiple classifier system for plant leaf recognition," 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, Canadá, 2017, pp. 1880-1885.
V. M. Araújo, A. S. Britto, A. L. Brun, A. L. Koerich and L. E. S. Oliveira, "Fine-Grained Hierarchical Classification of Plant Leaf Images Using Fusion of Deep Models," 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), Volos, 2018, pp. 1-5.
Diplomas and university course :
PhD from Pontifical Catholic University of Paraná, Brazil.