Mining Persons, Objects, and Places from Heterogeneous Source Domains

2019 - Ongoing

This is my current project that I have focused on. The ultimate goal is to design large-scale self-supervised learning solutions to filter and group persons, objects and places in fully-unsupervised manner avoiding biases. We envision to design solutions that can also
be extended for applications in further Artificial Intelligence research fields. It is part of the Déjàvu Project.

Gabriel Bertocco
Gabriel Bertocco
Ph.D. candidate in Computer Science and member of the Recod.ai lab

My research interests include Self-Supervised Learning, Deep Learning and Computer Vision.