Bruno Marques
Bruno Marques
Home
Projects
Publications
Teaching
Contact
Light
Dark
Automatic
Deep Learning
Deep Learning Applied to Optical Physics.
Deep Learning for Optics and Physics.
Follow
FPVRGame: Deep Learning for Hand Pose Recognition in Real-Time Using Low-End HMD
We used a DenseNet Convolutional Neural Network (CNN) architecture to perform the recognition in real-time, from both indoor and outdoor environments, not requiring any image segmentation process. Our research also generated a vocabulary, considering users’ preferences, seeking a set of natural and comfortable hand poses and evaluated users’ satisfaction and performance for an entertainment setup. Our recognition model achieved an accuracy of 97.89%.
Eder de Oliveira
,
Esteban Clua
,
Cristina Nader
,
Bruno A D Marques
PDF
Cite
Project
DOI
Deep Learning Applied to Astronomy.
Deep Learning for Characterization of Galaxies.
Follow
PEEK - An LSTM Recurrent Network for Motion Classification from Sparse Data
we developed a novel Recurrent Neural Network topology based on Long Short-Term Memory cells (LSTMs) that are able to classify motions sequences of different sizes.
Rafael Rego Drumond
,
Bruno A D Marques
,
Cristina Nader Vasconcelos
,
Esteban Clua
PDF
Cite
Project
DOI
eXtended Reality interfaces.
XR interfaces and interactions.
Follow
Lighting Estimation for Mixed Reality.
Deep Learning methods of lighting estimation.
Follow
Cite
×