607 citations · 2.9k across the 65 of their papers we have counts for
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Deep Representations for Cross-spectral Ocular Biometrics
Luiz A. Zanlorensi, Diego R. Lucio, Alceu S. Britto +2
One of the major challenges in ocular biometrics is the cross-spectral scenario, i.e., how to match images acquired in different wavelengths (typically visible (VIS) against near-i…
Ocular Recognition Databases and Competitions: A Survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz +3
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular re…
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
Icaro O. de Oliveira, Rayson Laroca, David Menotti +2
This work addresses the problem of vehicle identification through non-overlapping cameras. As our main contribution, we introduce a novel dataset for vehicle identification, called…
Zero-Shot Action Recognition in Videos: A Survey
Valter Estevam, Helio Pedrini, David Menotti
Zero-Shot Action Recognition has attracted attention in the last years and many approaches have been proposed for recognition of objects, events and actions in images and videos. T…
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
Rayson Laroca, Luiz A. Zanlorensi, Gabriel R. Gonçalves +3
This paper presents an efficient and layout-independent Automatic License Plate Recognition (ALPR) system based on the state-of-the-art YOLO object detector that contains a unified…
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi +2
In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN. We believe…