607 citations · 2.9k across the 65 of their papers we have counts for
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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…
Automatic Counting and Identification of Train Wagons Based on Computer Vision and Deep Learning
Rayson Laroca, Alessander Cidral Boslooper, David Menotti
In this work, we present a robust and efficient solution for counting and identifying train wagons using computer vision and deep learning. The proposed solution is cost-effective…
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach
Rayson Laroca, Alessandra B. Araujo, Luiz A. Zanlorensi +2
Existing approaches for image-based Automatic Meter Reading (AMR) have been evaluated on images captured in well-controlled scenarios. However, real-world meter reading presents un…
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines
Gabriel Salomon, Rayson Laroca, David Menotti
Smart meters enable remote and automatic electricity, water and gas consumption reading and are being widely deployed in developed countries. Nonetheless, there is still a huge num…
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva +3
Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnos…
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…
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
Luiz A. Zanlorensi, Hugo Proença, David Menotti
Ocular biometric systems working in unconstrained environments usually face the problem of small within-class compactness caused by the multiple factors that jointly degrade the qu…