most citedLPLC: A Dataset for License Plate Legibility Classification

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

VeriCam: A Verification Baseline for the Classification of Unknown Data

Lucas Wojcik, Gabriel E. Lima, Sergio M. Silva +2

The advent of foundation models have enabled a new era in zero-shot classification. Yet, key challenges persist. Despite their impressive generalization power that leverages the im…

cs.CV2026

A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios

Sergio M. Silva, Otavio T. Remer, Gabriel E. Lima +3

Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supporting applications such as vehicle identification, traffic monitoring, and forensic…

cs.CV2026

LPLCv2: An Expanded Dataset for Fine-Grained License Plate Legibility Classification

Lucas Wojcik, Eduardo A. F. Machoski, Eduil Nascimento +2

Modern Automatic License Plate Recognition (ALPR) systems achieve outstanding performance in controlled, well-defined scenarios. However, large-scale real-world usage remains chall…

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★ 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…