Gabriel Bertocco

Self-supervised learning for fully unsupervised re-identification in real-world applications

Gabriel Bertocco, Fernanda Andaló, Anderson Rocha
Workshop of Theses and Dissertations, Conference on Graphics, Patterns and Images (WTD/SIBGRAPI) · 2025
DOI PDF DéjàVu
Self-supervised learning for fully unsupervised re-identification in real-world applications
Vision through distortions: Atmospheric Turbulence-and Clothing-invariant long-range recognition
Realidades sintéticas: surgimento, impactos e desafios

Large-scale fully-unsupervised re-identification

Gabriel Bertocco, Fernanda Andaló, Terrance E. Boult, Anderson Rocha
IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) · 2024
DOI PDF Horus
Large-scale fully-unsupervised re-identification
AI Knows What You Did Last Summer: Applications in Digital Forensics
AG-ReID 2023: Aerial-Ground Person Re-identification Challenge Results
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship Attribution
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship Attribution
Cross-dataset emotion recognition from facial expressions through convolutional neural networks
Unsupervised and Self-Adaptative Techniques for Cross-Domain Person Re-Identification
A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI
Unsupervised and self-adaptative techniques for cross-domain person re-identification
Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function
Two-tiered face verification with low-memory footprint for mobile devices
Multiple-tiered facial recognition
Forensic Event Analysis: From Seemingly Unrelated Data to Understanding
Deep face verification for spherical images