no code implementations • 26 Jul 2023 • Gabriel Bertocco, Fernanda Andaló, Terrance E. Boult, Anderson Rocha
Fully-unsupervised Person and Vehicle Re-Identification have received increasing attention due to their broad applicability in surveillance, forensics, event understanding, and smart cities, without requiring any manual annotation.
no code implementations • 9 Jun 2023 • João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel, Anderson Rocha
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of the intent to deceive.
1 code implementation • 7 Feb 2022 • Gabriel Bertocco, Antônio Theophilo, Fernanda Andaló, Anderson Rocha
We propose a strategy to tackle Person Re-Identification and Text Authorship Attribution by enabling learning from unlabeled data even when samples from different classes are not prominently diverse.
1 code implementation • IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2021 • Gabriel Bertocco, Fernanda Andaló, Anderson Rocha
Person Re-Identification (ReID) across non-overlapping cameras is a challenging task and, for this reason, most works in the prior art rely on supervised feature learning from a labeled dataset to match the same person in different views.
Ranked #1 on Unsupervised Domain Adaptation on Market to MSMT