4 citations · 4 across the 4 of their papers we have counts for
4 papers
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko +3
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise sma…
Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis
João Paulo Lima, Diego Thomas, Hideaki Uchiyama +1
We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automati…
High-Level Context Representation for Emotion Recognition in Images
Willams de Lima Costa, Estefania Talavera Martinez, Lucas Silva Figueiredo +1
Emotion recognition is the task of classifying perceived emotions in people. Previous works have utilized various nonverbal cues to extract features from images and correlate them…
Multi-Cue Adaptive Emotion Recognition Network
Willams Costa, David Macêdo, Cleber Zanchettin +2
Expressing and identifying emotions through facial and physical expressions is a significant part of social interaction. Emotion recognition is an essential task in computer vision…