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20182026
most citedA Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

607 citations · 1.6k across the 47 of their papers we have counts for

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16 papers · 1 filter

cs.CV2026

Generalizable Brain Tumor Segmentation with Self-Training and Tumor-Aware Deformations

Henrique Zan Grande, Jeovane Honorio Alves, Rayson Laroca +1

This work presents an approach to the Generalizability Across Tumors (BraTS-GoAT) task of the BraTS 2026 Challenge, which focuses on robust segmentation of brain tumor sub-regions…

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

Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation

Lucas Cunha, Lucas Sotomaior, Lucas Gasperin +3

Face forgery detectors often achieve strong results on controlled benchmarks, but their reliability under realistic image degradations remains limited. This paper presents a standa…

cs.CV2026

Audio-Text Cross-Attention with Psycholinguistic Support Features for Ambivalence/Hesitancy Recognition

Luiz F. B. F. Martins, Rodrigo W. Pisaia, Matheus M. Girardi +5

We present a frame-independent audio-text system for the 3rd Ambivalence/Hesitancy Video Recognition Challenge at the 11th Affective & Behavior Analysis in-the-Wild (ABAW) Workshop…

cs.CV2026

Confidence-Aware Ensemble and Long-Word Refinement for Artistic Text Recognition

Lucas A. Dias, Henrique A. Schulz, Rafaela de Miranda +3

Artistic Text Recognition (ATR) remains challenging because word images often combine decorative fonts, curved layouts, object-like characters, clutter, and severe distortions. Thi…

cs.CV2026

On the Role of MRI Sequences in Cross-Dataset Generalization for Brain Tumor Segmentation

Henrique Zan Grande, João G. Pitol, Lucas B. Schuck +3

Brain tumor segmentation in magnetic resonance imaging (MRI) is a critical task for diagnosis and treatment planning. Despite the success of deep learning architectures such as U-N…