2 citations · 2 across the 3 of their papers we have counts for
3 papers
VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
Roberto L. Castro, Andrei Ivanov, Diego Andrade +3
The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compu…
Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time
Roberto L. Castro, Diego Andrade, Basilio Fraguela
Hyperparameters tuning is a time-consuming approach, particularly when the architecture of the neural network is decided as part of this process. For instance, in convolutional neu…
A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos
Roberto L. Castro, Diego Andrade, Basilio Fraguela
Tracking people in a video sequence is a challenging task that has been approached from many perspectives. This task becomes even more complicated when the person to track is a pla…