The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …

Text-to-image synthesis refers to generating an image from a given text description, the key
goal of which lies in photo realism and semantic consistency. Previous methods usually …

We present BlockGAN, an image generative model that learns object-aware 3D scene
representations directly from unlabelled 2D images. Current work on scene representation …

Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …

Abstract Compositional Zero-Shot learning (CZSL) requires to recognize state-object
compositions unseen during training. In this work, instead of assuming prior knowledge …

Existing computer vision systems can compete with humans in understanding the visible
parts of objects, but still fall far short of humans when it comes to depicting the invisible parts …

Automated defect inspection is critical for effective and efficient maintenance, repair, and
operations in advanced manufacturing. On the other hand, automated defect inspection is …

We introduce the GANformer2 model, an iterative object-oriented transformer, explored for
the task of generative modeling. The network incorporates strong and explicit structural …

This paper addresses the problem of text-to-image synthesis from a new perspective, ie, the
cause-and-effect chain in image generation. Causality is a common phenomenon in …

In this paper, we are interested in modeling a how-to instructional procedure, such as a
cooking recipe, with a meaningful and rich high-level representation. Specifically, we …