Automated and scalable approaches for understanding the semantics of places are critical
to improving both existing and emerging mobile services. In this paper, we present …

Crowd-enabled place-centric systems gather and reason over large mobile sensor datasets
and target everyday user locations (such as stores, workplaces, and restaurants). Such …

Text image machine translation (TIMT) aims at directly translating text in the source
language embedded in images into the target language. Most existing systems follow the …

Text image machine translation (TIMT) has been widely used in various real-world
applications, which translates source language texts in images into another target language …

In-image machine translation (IIMT) aims to translate an image containing texts in source
language into an image containing translations in target language. In this regard …

Document image translation (DIT) aims to translate text embedded in images from one
language to another. It is a challenging task that needs to understand visual layout with text …

End-to-end text image translation (TIT), which aims at translating the source language
embedded in images to the target language, has attracted intensive attention in recent …

Text image machine translation (TIMT) aims to translate texts embedded in images from one
source language to another target language. Existing methods, both two-stage cascade and …

Text image machine translation (TIMT) which translates source language text images into
target language texts has attracted intensive attention in recent years. Although the end-to …

Abstract Scene Text Editing (STE) is a challenging research problem, and it aims to modify
existing texts in an image while preserving the background and the font style of the original …