The task of point cloud segmentation, comprising semantic, instance, and panoptic
segmentation, has been mainly tackled by designing task-specific network architectures …

Inspired by the success of Large Language Models in dealing with new tasks via In-Context
Learning (ICL) in NLP researchers have also developed Large Vision-Language Models …

Fuzzy rough set theory has attracted much attention because of its successful application in
uncertainty measurement. To improve the efficiency and robustness of uncertainty measure …

Image captioning aims to automatically generate captions for images by learning a cross-
modal generator from vision to language. The large amount of image-text pairs required for …

As a new emerging task, video corpus moment retrieval (VCMR) aims to find the video
segments relevant to a given natural language query from a large number of untrimmed …

With the development of the Internet, users can freely publish posts on various social media
platforms, which offers great convenience for kee** abreast of the world. However, posts …

Existing semi-supervised learning (SSL) methods assume that labeled and unlabeled data
share the same class space. However, in real-world applications, unlabeled data always …

In talent management, resume assessment aims to analyze the quality of a job seeker's
resume, which can assist recruiters to discover suitable candidates and benefit job seekers …

Job recommendation aims to provide potential talents with suitable job descriptions (JDs)
consistent with their career trajectory, which plays an essential role in proactive talent …

In numerous real-world applications, it is quite common that sample information is partially
available for some views due to machine breakdown or sensor failure, causing the problem …