15 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data
Lucas de Oliveira Cunha, Joelton Deonei Gotz, Paulo Lisboa de Almeida +1
Parking spot classification is a fundamental task in intelligent transportation systems, yet most deep learning approaches rely on large amounts of annotated data and exhibit limit…
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…
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…
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…