Detecting and extracting information from Machine-Readable Zone (MRZ) on...
Detecting manipulations in digital documents is becoming increasingly
im...
For distributed machine learning with sensitive data, we demonstrate how...
Examining the authenticity of images has become increasingly important a...
In this paper we investigate the usage of adversarial perturbations for ...
We compare communication efficiencies of two compelling distributed mach...
We survey distributed deep learning models for training or inference wit...
Can health entities collaboratively train deep learning models without
s...
In domains such as health care and finance, shortage of labeled data and...
Fine-Grained Visual Classification (FGVC) is an important computer visio...
Methods for neural network hyperparameter optimization and meta-modeling...
Research in Fine-Grained Visual Classification has focused on tackling t...
We present a new action recognition deep neural network which adaptively...
In this paper we present architectures based on deep neural nets for ges...