5 citations · 5 across the 3 of their papers we have counts for
3 papers
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
Jefferson Hernandez, Ruben Villegas, Vicente Ordonez
We propose ViC-MAE, a model that combines both Masked AutoEncoders (MAE) and contrastive learning. ViC-MAE is trained using a global featured obtained by pooling the local represen…
A fast multi-object tracking system using an object detector ensemble
Richard Cobos, Jefferson Hernandez, Andres G. Abad
Multiple-Object Tracking (MOT) is of crucial importance for applications such as retail video analytics and video surveillance. Object detectors are often the computational bottlen…
Learning from multivariate discrete sequential data using a restricted Boltzmann machine model
Jefferson Hernandez, Andres G. Abad
A restricted Boltzmann machine (RBM) is a generative neural-network model with many novel applications such as collaborative filtering and acoustic modeling. An RBM lacks the capac…