collaborators

16 papers

cs.CV2026

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…

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

Attention-Aware Transformer-Based Aggregation Network for Video Periocular Recognition

Luiz G F Carreira, Breno A Mariano, Victor H C de Melo +2

Video periocular recognition is the task of recognizing an individual's identity based on the region around an individual's eyes. The periocular area is one of the most discriminat…

cs.CV2026

CEZSAR: A Contrastive Embedding Method for Zero-Shot Action Recognition

Valter Estevam, Rayson Laroca, Helio Pedrini +1

This paper proposes a novel Zero-Shot Action Recognition~(ZSAR) method based on contrastive learning. In ZSAR, we aim to classify examples from classes that were missing during tra…

cs.CV2026

ICPR 2026 Competition on Low-Resolution License Plate Recognition

Rayson Laroca, Valfride Nascimento, Donggun Kim +19

Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveillance scenarios, where long capture distances, compression artifacts, and advers…

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…