Multi-turn textual feedback-based fashion image retrieval focuses on a
r...
Neural Style Transfer (NST) has quickly evolved from single-style to
inf...
Object detection models perform well at localizing and classifying objec...
Fake news often involves semantic manipulations across modalities such a...
Supervised machine learning models often associate irrelevant nuisance
f...
We propose a novel approach to achieving invariance for deep neural netw...
Deep neural network models for speech recognition have achieved great su...
We present a unified invariance framework for supervised neural networks...
The spread of misinformation through synthetically generated yet realist...
Spread of misinformation has become a significant problem, raising the
i...
For enterprise, personal and societal applications, there is now an
incr...
Image repurposing is a commonly used method for spreading misinformation...
Data representations that contain all the information about target varia...
Machine Learning (ML) is increasingly being used for computer aided diag...
We present Generative Adversarial Capsule Network (CapsuleGAN), a framew...
Conditional variants of Generative Adversarial Networks (GANs), known as...
Real world multimedia data is often composed of multiple modalities such...