The main task of multimodal emotion recognition in conversations (MERC) is to identify the
emotions in modalities, eg, text, audio, image, and video, which is a significant development …

The use of drones and unmanned aerial vehicles has significantly increased in various real-
world applications such as monitoring illegal car parking, tracing vehicles, controlling traffic …

The rapid development of scene text detection shows us the need for text recognition in a
scene image. Road signs recognition, reading the scene image for machine translation, text …

Objects with different orientations are ubiquitous in the real world (eg, texts/hands in the
scene image, objects in the aerial image, etc.), and the widely-used axis-aligned bounding …

As a prerequisite step of scene text reading, scene text detection is known as a challenging
task due to natural scene text diversity and variability. Most existing methods either adopt …

Arbitrary-shaped scene text detection is a challenging task due to the variety of text changes
in font, size, color, and orientation. Most existing regression based methods resort to regress …

Irregular-shaped texts bring challenges to Scene Text Detection (STD). Although existing
regression-based approaches achieve comparable performances, they fail to cover some …

Due to the increasing applications of surveillance and monitoring such as person re-
identification, vehicle re-identification and sports events tracking, the necessity of text …

Bottom-up text detection methods play an important role in arbitrary-shape scene text
detection but there are two restrictions preventing them from achieving their great potential …

Scene text spotting, a unified framework between text detection and text recognition, has
made great progress in recent years. Existing methods usually adopt the fully-supervised …