It is known that representations from self-supervised pre-training can
p...
In this work, we investigate the properties of data that cause popular
r...
Learning disentangled representations with variational autoencoders (VAE...
This research presents the idea of activity fusion into existing Pose
Es...
We give an overview of the different rendering methods and we demonstrat...
Finding a parking space nowadays becomes an issue that is not to be
negl...
With the increased interest in machine learning and big data problems, t...
To perform contingent teaching and be responsive to students' needs duri...
The typical contrastive self-supervised algorithm uses a similarity meas...
Deep neural networks are typically too computationally expensive to run ...