91 citations · 96 across the 2 of their papers we have counts for
14 papers
Face Attributes as Cues for Deep Face Recognition Understanding
Matheus Alves Diniz, William Robson Schwartz
Deeply learned representations are the state-of-the-art descriptors for face recognition methods. These representations encode latent features that are difficult to explain, compro…
Open-set Face Recognition for Small Galleries Using Siamese Networks
Gabriel Salomon, Alceu Britto, Rafael H. Vareto +2
Face recognition has been one of the most relevant and explored fields of Biometrics. In real-world applications, face recognition methods usually must deal with scenarios where no…
Stage-Wise Neural Architecture Search
Artur Jordao, Fernando Akio, Maiko Lie +1
Modern convolutional networks such as ResNet and NASNet have achieved state-of-the-art results in many computer vision applications. These architectures consist of stages, which ar…
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method
Artur Jordao, Maiko Lie, Victor Hugo Cunha de Melo +1
Dimensionality reduction plays an important role in computer vision problems since it reduces computational cost and is often capable of yielding more discriminative data represent…
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
Carlos Caetano, François Brémond, William Robson Schwartz
In the last years, the computer vision research community has studied on how to model temporal dynamics in videos to employ 3D human action recognition. To that end, two main basel…
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…