In this paper, our goal is to design a simple learning paradigm for long...
Video-Text Retrieval (VTR) aims to search for the most relevant video re...
Curriculum learning has shown promising improvements in multiple domains...
More and more attention has been paid to the segmentation of pulmonary
n...
Abstractive dialogue summarization is to generate a concise and fluent
s...
As a highly ill-posed issue, single image super-resolution (SISR) has be...
Image super-resolution (SR) has been widely investigated in recent years...
Previous dialogue summarization techniques adapt large language models
p...
Bit-depth expansion (BDE) is one of the emerging technologies to display...
It is challenging to restore low-resolution (LR) images to super-resolut...
Interpersonal language style shifting in dialogues is an interesting and...
Multi-turn response selection is a task designed for developing dialogue...
Matching question-answer relations between two turns in conversations is...
Recognizing freehand sketches with high arbitrariness is greatly challen...
Detecting elliptical objects from an image is a central task in robot
na...