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20242026
most citedToward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark

11 citations · 35 across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

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

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.…

cs.CV2026

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…

cs.CV2026★ 3 cited

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…