activity
20142026
most citedA Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

607 citations · 2.9k across the 65 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.CV2025

A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition

Pedro Vidal, Bernardo Biesseck, Luiz E. L. Coelho +2

Facial recognition has become a widely used method for authentication and identification, with applications for secure access and locating missing persons. Its success is largely a…

cs.CV2025

Exploring Light-Weight Object Recognition for Real-Time Document Detection

Lucas Wojcik, Luiz Coelho, Roger Granada +1

Object Recognition and Document Skew Estimation have come a long way in terms of performance and efficiency. New models follow one of two directions: improving performance using la…

cs.CV2025

PD-Loss: Proxy-Decidability for Efficient Metric Learning

Pedro Silva, Guilherme A. L. Silva, Pablo Coelho +4

Deep Metric Learning (DML) aims to learn embedding functions that map semantically similar inputs to proximate points in a metric space while separating dissimilar ones. Existing m…

cs.CV2025★ 5 cited

LPLC: A Dataset for License Plate Legibility Classification

Lucas Wojcik, Gabriel E. Lima, Valfride Nascimento +3

Automatic License Plate Recognition (ALPR) faces a major challenge when dealing with illegible license plates (LPs). While reconstruction methods such as super-resolution (SR) have…

cs.CV2025★ 11 cited

Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark

Valfride Nascimento, Gabriel E. Lima, Rafael O. Ribeiro +3

Recent advancements in super-resolution for License Plate Recognition (LPR) have sought to address challenges posed by low-resolution (LR) and degraded images in surveillance, traf…

cs.CV2025★ 7 cited

Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation

Rayson Laroca, Marcelo dos Santos, David Menotti

Detecting small drones, often indistinguishable from birds, is crucial for modern surveillance. This work introduces a drone detection methodology built upon the medium-sized YOLOv…