607 citations · 1.5k across the 20 of their papers we have counts for
25 papers
Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation
Rafael Henrique Vareto, Manuel Günther, William Robson Schwartz
Open-set face recognition refers to a scenario in which biometric systems have incomplete knowledge of all existing subjects. Therefore, they are expected to prevent face samples o…
Open-set Face Recognition using Ensembles trained on Clustered Data
Rafael Henrique Vareto, William Robson Schwartz
Open-set face recognition describes a scenario where unknown subjects, unseen during the training stage, appear on test time. Not only it requires methods that accurately identify…
Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers
Valfride Nascimento, Rayson Laroca, Jorge de A. Lambert +2
Recent years have seen significant developments in the field of License Plate Recognition (LPR) through the integration of deep learning techniques and the increasing availability…
Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution
Valfride Nascimento, Rayson Laroca, Jorge de A. Lambert +2
The License Plate Recognition (LPR) field has made impressive advances in the last decade due to novel deep learning approaches combined with the increased availability of training…
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…
The SWAX Benchmark: Attacking Biometric Systems with Wax Figures
Rafael Henrique Vareto, Araceli Marcia Sandanha, William Robson Schwartz
A face spoofing attack occurs when an intruder attempts to impersonate someone who carries a gainful authentication clearance. It is a trending topic due to the increasing demand f…
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…
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, François Brémond +2
Due to the availability of large-scale skeleton datasets, 3D human action recognition has recently called the attention of computer vision community. Many works have focused on enc…
An Introduction to Deep Morphological Networks
Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura +1
The recent impressive results of deep learning-based methods on computer vision applications brought fresh air to the research and industrial community. This success is mainly due…
Convolutional Neural Networks for Automatic Meter Reading
Rayson Laroca, Victor Barroso, Matheus A. Diniz +3
In this paper, we tackle Automatic Meter Reading (AMR) by leveraging the high capability of Convolutional Neural Networks (CNNs). We design a two-stage approach that employs the Fa…
Pruning Deep Neural Networks using Partial Least Squares
Artur Jordao, Ricardo Kloss, Fernando Yamada +1
Modern pattern recognition methods are based on convolutional networks since they are able to learn complex patterns that benefit the classification. However, convolutional network…
A Content-Based Late Fusion Approach Applied to Pedestrian Detection
Jessica Sena, Artur Jordao, William Robson Schwartz
The variety of pedestrians detectors proposed in recent years has encouraged some works to fuse pedestrian detectors to achieve a more accurate detection. The intuition behind is t…
Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art
Artur Jordao, Antonio C. Nazare, Jessica Sena +1
Human activity recognition based on wearable sensor data has been an attractive research topic due to its application in areas such as healthcare and smart environments. In this co…
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot +2
Semantic segmentation requires methods capable of learning high-level features while dealing with large volume of data. Towards such goal, Convolutional Networks can learn specific…
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
Rayson Laroca, Evair Severo, Luiz A. Zanlorensi +4
Automatic License Plate Recognition (ALPR) has been a frequent topic of research due to many practical applications. However, many of the current solutions are still not robust in…
Latent hypernet: Exploring all Layers from Convolutional Neural Networks
Artur Jordao, Ricardo Kloss, William Robson Schwartz
Since Convolutional Neural Networks (ConvNets) are able to simultaneously learn features and classifiers to discriminate different categories of activities, recent works have emplo…
Activity Recognition based on a Magnitude-Orientation Stream Network
Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos +1
The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view…
Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification
Raphael Prates, William Robson Schwartz
Person re-identification aims at the maintenance of a global identity as a person moves among non-overlapping surveillance cameras. It is a hard task due to different illumination…
Meat adulteration detection through digital image analysis of histological cuts using LBP
João J. de Macedo Neto, Jefersson A. dos Santos, William Robson Schwartz
Food fraud has been an area of great concern due to its risk to public health, reduction of food quality or nutritional value and for its economic consequences. For this reason, it…
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection
Carlos Caetano, Sandra Avila, William Robson Schwartz +2
With the growing amount of inappropriate content on the Internet, such as pornography, arises the need to detect and filter such material. The reason for this is given by the fact…