11 citations · 35 across the 9 of their papers we have counts for
9 papers · 1 filter
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…
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…
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.…
Revisiting Vehicle Color Recognition in Long-Tailed Surveillance Scenarios
Vinícius Orrú, Bruno H. Foggiatto, Gabriel E. Lima +2
Vehicle color recognition is an important cue for vehicle identification in surveillance systems, especially when license plates are illegible due to low resolution, occlusion, mot…
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…
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…
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…
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…