activity
20232026
most citedToward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and Benchmark

11 citations · 22 across the 5 of their papers we have counts for

collaborators

6 papers

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.CV2025

VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models

Jesimon Barreto, Carlos Caetano, André Araujo +1

Foundation models have advanced computer vision by enabling strong performance across diverse tasks through large-scale pretraining and supervised fine-tuning. However, they may un…

cs.CV2025★ 11 cited

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…

cs.CV2024

Watchlist Challenge: 3rd Open-set Face Detection and Identification

Furkan Kasım, Terrance E. Boult, Rensso Mora +8

In the current landscape of biometrics and surveillance, the ability to accurately recognize faces in uncontrolled settings is paramount. The Watchlist Challenge addresses this cri…

cs.CV2024★ 11 cited

Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach

Valfride Nascimento, Rayson Laroca, Rafael O. Ribeiro +2

Despite significant advancements in License Plate Recognition (LPR) through deep learning, most improvements rely on high-resolution images with clear characters. This scenario doe…

cs.CV2023

Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss

Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult +2

Open-set face recognition characterizes a scenario where unknown individuals, unseen during the training and enrollment stages, appear on operation time. This work concentrates on…