Deep Learning and its applications have cascaded impactful research and development
with a diverse range of modalities present in the real-world data. More recently, this has …

Text‐to‐image synthesis refers to computational methods which translate human written
textual descriptions, in the form of keywords or sentences, into images with similar semantic …

In the present day, images and videos account for nearly 80% of all the data transmitted
during our daily activities. This work employs a combination of novel stegnography and data …

Text-to-image synthesis is a challenging task that generates realistic images from a textual
sequence, which usually contains limited information compared with the corresponding …

Video-text retrieval is an emerging stream in both computer vision and natural language
processing communities, which aims to find relevant videos given text queries. In this paper …

Despite considerable progress, image captioning still suffers from the huge difference in
quality between easy and hard examples, which is left unexploited in existing methods. To …

Text-to-image synthesis (T2IS) has drawn increasing interest recently, which can
automatically generate images conditioned on text descriptions. It is a highly challenging …

In the past few years, the Generative Adversarial Network (GAN), which proposed in 2014,
has achieved great success. There have been increasing research achievements based on …

Medical report generation generates the corresponding report according to the given
radiology image, which has been attracting increasing research interest. However, existing …

Automatic caption generation with attention mechanisms aims at generating more
descriptive captions containing coarser to finer semantic contents in the image. In this work …