6 papers
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…
Evaluating 2D and 3D-Aware Vision Foundation Models for Vehicle Attribute Recognition
Alexandre V. Delazeri, Gabriel E. Lima, Eduil Nascimento +2
Vehicle attribute recognition is an important task in intelligent transportation systems, particularly when Automatic License Plate Recognition (ALPR) is unavailable or unreliable.…
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…
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…
Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution
Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro +2
Super-resolution algorithms often struggle with images from surveillance environments due to adverse conditions such as unknown degradation, variations in pose, irregular illuminat…
Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark
Gabriel E. Lima, Rayson Laroca, Eduardo Santos +2
Vehicle information recognition is crucial in various practical domains, particularly in criminal investigations. Vehicle Color Recognition (VCR) has garnered significant research…