37 citations · 261 across the 24 of their papers we have counts for
9 papers · 2 filters
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…
Style Transfer Applied to Face Liveness Detection with User-Centered Models
Israel A. Laurensi R., Luciana T. Menon, Manoel Camillo O. Penna N. +2
This paper proposes a face anti-spoofing user-centered model (FAS-UCM). The major difficulty, in this case, is obtaining fraudulent images from all users to train the models. To ov…
Image Retrieval and Pattern Spotting using Siamese Neural Network
Kelly L. Wiggers, Alceu S. Britto, Laurent Heutte +2
This paper presents a novel approach for image retrieval and pattern spotting in document image collections. The manual feature engineering is avoided by learning a similarity-base…
Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition
Dylan C. Tannugi, Alceu S. Britto, Alessandro L. Koerich
Facial expression recognition is a major problem in the domain of artificial intelligence. One of the best ways to solve this problem is the use of convolutional neural networks (C…
Texture CNN for Histopathological Image Classification
Jonathan de Matos, Alceu de S. Britto, Luiz E. S. de Oliveira +1
Biopsies are the gold standard for breast cancer diagnosis. This task can be improved by the use of Computer Aided Diagnosis (CAD) systems, reducing the time of diagnosis and reduc…
Texture CNN for Thermoelectric Metal Pipe Image Classification
Daniel Vriesman, Alessandro Zimmer, Alceu S. Britto +1
In this paper, the concept of representation learning based on deep neural networks is applied as an alternative to the use of handcrafted features in a method for automatic visual…
Histopathologic Image Processing: A Review
Jonathan de Matos, Alceu de Souza Britto, Luiz E. S. Oliveira +1
Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in…
Double Transfer Learning for Breast Cancer Histopathologic Image Classification
Jonathan de Matos, Alceu de S. Britto, Luiz E. S. Oliveira +1
This work proposes a classification approach for breast cancer histopathologic images (HI) that uses transfer learning to extract features from HI using an Inception-v3 CNN pre-tra…