The creation of an image from another and from different types of data including text, scene
graph, and object layout, is one of the very challenging tasks in computer vision. In addition …

Nanophotonic devices manipulate light at sub-wavelength scales, enabling tasks such as
light concentration, routing, and filtering. Designing these devices to achieve precise light …

We present the full-resolution correspondence learning for cross-domain images, which aids
image translation. We adopt a hierarchical strategy that uses the correspondence from …

We present a general framework for exemplar-based image translation, which synthesizes a
photo-realistic image from the input in a distinct domain (eg, semantic segmentation mask …

A transcompiler, also known as source-to-source translator, is a system that converts source
code from a high-level programming language (such as C++ or Python) to another …

To explore the advantages of adversarial learning and deep learning, we propose a novel
network intrusion detection model called SAVAER-DNN, which can not only detect known …

Transplant pathology plays a critical role in ensuring that transplanted organs function
properly and the immune systems of the recipients do not reject them. To improve outcomes …

Expert microscopic analysis of cells obtained from frequent heart biopsies is vital for early
detection of pediatric heart transplant rejection to prevent heart failure. Detection of this rare …

Despite recent advances in deep neural models for semantic image editing, present
approaches are dependent on explicit human input. Previous work assumes the availability …

Since the last years and until now, technology has made fast progress for many industries, in
particularly, garment industry which aims to follow consumer desires and demands. One of …