31 citations · 84 across the 7 of their papers we have counts for
7 papers
Video Action Recognition Collaborative Learning with Dynamics via PSO-ConvNet Transformer
Nguyen Huu Phong, Bernardete Ribeiro
Recognizing human actions in video sequences, known as Human Action Recognition (HAR), is a challenging task in pattern recognition. While Convolutional Neural Networks (ConvNets)…
Action Recognition for American Sign Language
Nguyen Huu Phong, Bernardete Ribeiro
In this research, we present our findings to recognize American Sign Language from series of hand gestures. While most researches in literature focus only on static handshapes, our…
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate
Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neu…
An Improvement for Capsule Networks using Depthwise Separable Convolution
Nguyen Huu Phong, Bernardete Ribeiro
Capsule Networks face a critical problem in computer vision in the sense that the image background can challenge its performance, although they learn very well on training data. In…
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
Nguyen Huu Phong, Bernardete Ribeiro
Over the long history of machine learning, which dates back several decades, recurrent neural networks (RNNs) have been used mainly for sequential data and time series and generall…
Offline and Online Deep Learning for Image Recognition
Nguyen Huu Phong, Bernardete Ribeiro
Image recognition using Deep Learning has been evolved for decades though advances in the field through different settings is still a challenge. In this paper, we present our findi…
Advanced Capsule Networks via Context Awareness
Nguyen Huu Phong, Bernardete Ribeiro
Capsule Networks (CN) offer new architectures for Deep Learning (DL) community. Though its effectiveness has been demonstrated in MNIST and smallNORB datasets, the networks still f…