534 citations
- Universidade Federal do ParanáBR14 papers
- Universidade Tecnológica Federal do ParanáBR7 papers
- École de Technologie SupérieureCA3 papers
- Instituto Federal do ParanáBR3 papers
- Instituto Federal de Educação, Ciência e Tecnologia de Santa CatarinaBR2 papers
- Universidade do Estado de Santa CatarinaBR2 papers
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- Universidade Estadual de Ponta GrossaBR2 papers
- Université de Rouen NormandieFR2 papers
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- Centre National de la Recherche ScientifiqueFR1 paper
29 papers
Robust Face Super-Resolution and Recognition Through Multi-Feature Aggregation in Diffusion Models
Marcelo dos Santos, Rayson Laroca, João Carlos Raposo Neves +1
Images acquired in surveillance environments often suffer from conditions such as low resolution, variations in pose, irregular illumination, and occlusions. Due to the low quality…
Toward Unified Fine-Grained Vehicle Classification and Automatic License Plate Recognition
Gabriel E. Lima, Valfride Nascimento, Eduardo Santos +3
Extracting vehicle information from surveillance images is essential for intelligent transportation systems, enabling applications such as traffic monitoring and criminal investiga…
Além do Desempenho: Um Estudo da Confiabilidade de Detectores de Deepfakes
Lucas Lopes, Rayson Laroca, André Grégio
Deepfakes are synthetic media generated by artificial intelligence, with positive applications in education and creativity, but also serious negative impacts such as fraud, misinfo…
Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation
Rayson Laroca, Valter Estevam, Gladston J. P. Moreira +2
Automatic License Plate Recognition is a frequent research topic due to its wide-ranging practical applications. While recent studies use synthetic images to improve License Plate…
IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift
Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto +2
Data streams pose challenges not usually encountered in batch-based ML. One of them is concept drift, which is characterized by the change in data distribution over time. Among man…
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…