607 citations · 1.6k across the 47 of their papers we have counts for
16 papers · 2 filters
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…
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…
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…
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…
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…
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…
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.…
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…
Computer Vision for MOBA Analytics: A Dataset and Baseline for Visibility Analysis in Dota 2
Ricardo da Rocha Carvalho, Eloísa Oliveira, Luiz Bernardo Martins Kummer +2
Introduction: Most Multiplayer Online Battle Arena (MOBA) analytics studies rely on structured data, which does not directly capture what each team could actually see during a matc…
Toward Parking Spot Occupancy Recognition: A Self-Supervised Approach
Luan Marko Kujavski, Rayson Laroca, Paulo Lisboa de Almeida
As urban areas expand, automatic monitoring of parking lots becomes essential for efficient and sustainable cities. This work proposes a self-supervised approach for parking spot o…
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…
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…
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…
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…
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…
Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation
Rayson Laroca, Valter Estevam, Gladston J. P. Moreira +2
Automatic License Plate Recognition is a frequent research topic due to its wide-ranging practical applications. While recent studies use synthetic images to improve License Plate…