607 citations · 2.9k across the 65 of their papers we have counts for
9 papers · 1 filter
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 Super-Resolution Using Stochastic Differential Equations
Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro +3
Diffusion models have proven effective for various applications such as images, audio and graph generation. Other important applications are image super-resolution and the solution…
Global Semantic Descriptors for Zero-Shot Action Recognition
Valter Estevam, Rayson Laroca, Helio Pedrini +1
The success of Zero-shot Action Recognition (ZSAR) methods is intrinsically related to the nature of semantic side information used to transfer knowledge, although this aspect has…
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions
Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto +12
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 a…
A First Look at Dataset Bias in License Plate Recognition
Rayson Laroca, Marcelo Santos, Valter Estevam +2
Public datasets have played a key role in advancing the state of the art in License Plate Recognition (LPR). Although dataset bias has been recognized as a severe problem in the co…
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…