37 citations · 261 across the 24 of their papers we have counts for
28 papers · 1 filter
Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition
Rayson Laroca, Valter Estevam, Alceu S. Britto +2
This work draws attention to the large fraction of near-duplicates in the training and test sets of datasets widely adopted in License Plate Recognition (LPR) research. These dupli…
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
Caio da S. Dias, Alceu de S. Britto, Jean P. Barddal +2
This paper presents a deep learning approach for image retrieval and pattern spotting in digital collections of historical documents. First, a region proposal algorithm detects obj…
Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems
Andre G. Hochuli, Alceu S. Britto, Paulo R. L. de Almeida +2
When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and label a training set con…
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition
Bruna Delazeri, Leonardo L. Veras, Alceu de S. Britto +2
This work describes different strategies to generate unsupervised representations obtained through the concept of self-taught learning for facial emotion recognition (FER). The ide…
Multiscale Analysis for Improving Texture Classification
Steve T. M. Ataky, Diego Saqui, Jonathan de Matos +2
Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipul…
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…
Machine Learning Methods for Histopathological Image Analysis: A Review
Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto +2
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is not only time and resource consuming,…
A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios
Luiz A. Zanlorensi, Rayson Laroca, Diego R. Lucio +3
Recently, ocular biometrics in unconstrained environments using images obtained at visible wavelength have gained the researchers' attention, especially with images captured by mob…
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition
Andre G. Hochuli, Alceu S. Britto, David A. Saji +3
Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby impos…
Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation
Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto +1
Usually, in a real-world scenario, few signature samples are available to train an automatic signature verification system (ASVS). However, such systems do indeed need a lot of sig…
Single-sample writers -- "Document Filter" and their impacts on writer identification
Fabio Pinhelli, Alceu S. Britto, Luiz S. Oliveira +2
The writing can be used as an important biometric modality which allows to unequivocally identify an individual. It happens because the writing of two different persons present dif…
Two-View Fine-grained Classification of Plant Species
Voncarlos M. Araujo, Alceu S. Britto, Luiz E. S. Oliveira +1
Automatic plant classification is a challenging problem due to the wide biodiversity of the existing plant species in a fine-grained scenario. Powerful deep learning architectures…
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings
Andre G. Hochuli, Alceu S. Britto, Jean P. Barddal +2
An end-to-end solution for handwritten numeral string recognition is proposed, in which the numeral string is considered as composed of objects automatically detected and recognize…
CNN Hyperparameter tuning applied to Iris Liveness Detection
Gabriela Y. Kimura, Diego R. Lucio, Alceu S. Britto +1
The iris pattern has significantly improved the biometric recognition field due to its high level of stability and uniqueness. Such physical feature has played an important role in…
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor
Sevegni Odilon Clement Allognon, Alessandro L. Koerich, Alceu de S. Britto
Automatic facial expression recognition is an important research area in the emotion recognition and computer vision. Applications can be found in several domains such as medical t…
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…