69 citations · 318 across the 21 of their papers we have counts for
7 papers · 1 filter
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language
Cleison Correia de Amorim, Cleber Zanchettin
Sign language is an essential resource enabling access to communication and proper socioemotional development for individuals suffering from disabling hearing loss. As this populat…
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…
On the Impact of Interpretability Methods in Active Image Augmentation Method
Flavio Santos, Cleber Zanchettin, Leonardo Matos +1
Robustness is a significant constraint in machine learning models. The performance of the algorithms must not deteriorate when training and testing with slightly different data. De…
KutralNet: A Portable Deep Learning Model for Fire Recognition
Angel Ayala, Bruno Fernandes, Francisco Cruz +3
Most of the automatic fire alarm systems detect the fire presence through sensors like thermal, smoke, or flame. One of the new approaches to the problem is the use of images to pe…
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation
Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David Macêdo +2
The Know Your Customer (KYC) and Anti Money Laundering (AML) are worldwide practices to online customer identification based on personal identification documents, similarity and li…
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
Heitor Felix, Walber M. Rodrigues, David Macêdo +4
The detection of objects considering a 6DoF pose is a common requirement to build virtual and augmented reality applications. It is usually a complex task which requires real-time…
Improving Deep Image Clustering With Spatial Transformer Layers
Thiago V. M. Souza, Cleber Zanchettin
Image clustering is an important but challenging task in machine learning. As in most image processing areas, the latest improvements came from models based on the deep learning ap…