16 citations · 19 across the 4 of their papers we have counts for
4 papers
Large-scale Fully-Unsupervised Re-Identification
Gabriel Bertocco, Fernanda Andaló, Terrance E. Boult +1
Fully-unsupervised Person and Vehicle Re-Identification have received increasing attention due to their broad applicability in surveillance, forensics, event understanding, and sma…
DaliID: Distortion-Adaptive Learned Invariance for Identification Models
Wes Robbins, Gabriel Bertocco, Terrance E. Boult
In unconstrained scenarios, face recognition and person re-identification are subject to distortions such as motion blur, atmospheric turbulence, or upsampling artifacts. To improv…
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship Attribution
Gabriel Bertocco, Antônio Theophilo, Fernanda Andaló +1
Learning from fully-unlabeled data is challenging in Multimedia Forensics problems, such as Person Re-Identification and Text Authorship Attribution. Recent self-supervised learnin…
Unsupervised and self-adaptative techniques for cross-domain person re-identification
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 la…