390 citations · 596 across the 8 of their papers we have counts for
9 papers
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
ORCNet: A context-based network to simultaneously segment the ocular region components
Diego Rafael Lucio, Luiz A. Zanlorensi, Yandre Maldonado e Gomes da Costa +1
Accurate extraction of the Region of Interest is critical for successful ocular region-based biometrics. In this direction, we propose a new context-based segmentation approach, en…
On the Cross-dataset Generalization in License Plate Recognition
Rayson Laroca, Everton V. Cardoso, Diego R. Lucio +2
Automatic License Plate Recognition (ALPR) systems have shown remarkable performance on license plates (LPs) from multiple regions due to advances in deep learning and the increasi…
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…
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…
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…