Abstract Natural Image Captioning (NIC) is an interdisciplinary research area that lies within
the intersection of Computer Vision (CV) and Natural Language Processing (NLP). Several …

The automatic generation of radiology reports has the potential to assist radiologists in the
time-consuming task of report writing. Existing methods generate the full report from image …

This paper presents a Generative RegIon-to-Text transformer, GRiT, for object
understanding. The spirit of GRiT is to formulate object understanding as< region, text> …

Image-text retrieval is a fundamental and vital task in multi-media retrieval and has received
growing attention since it connects heterogeneous data. Previous methods that perform well …

Controllable image captioning is an emerging multimodal topic that aims to describe the
image with natural language following human purpose, $\textit {eg} $, looking at the …

Abstract Automatic Visual Captioning (AVC) generates syntactically and semantically correct
sentences by describing important objects, attributes, and their relationships with each other …

Dialogue emotion detection is always challenging due to human subjectivity and the
randomness of dialogue content. In a conversation, the emotion of each person often …

Object detection in remote-sensing images is a crucial task in the fields of Earth observation
and computer vision. Despite impressive progress in modern remote-sensing object …

Abstract Deep Supervised Salient Object Detection (SSOD) excessively relies on large-
scale annotated pixel-level labels which consume intensive labour acquiring high quality …

Dense captioning generates more detailed spoken descriptions for complex visual scenes.
Despite several promising leads, existing methods still have two broad limitations: 1) The …