Content-based video moment retrieval (CVMR) aims to localize a successive sequence of
frames in an untrimmed reference video, called target moment, that is semantically …

Recently, with the growing popularity of micro-videos, multi-label learning has attracted
increasing attention due to its potential commercial value in different scenarios. However …

Micro-video venue recognition aims to predict the venue category where a micro-video was
filmed. Different from traditional long videos which contain rich temporal context, venue …

In reality, data often exhibit associations with multiple labels, making multi-label learning
(MLL) become a prominent research topic. The last two decades have witnessed the …

Currently, micro-videos have gained widespread acceptance as a prominent form of user-
generated content across various social media platforms. Accurate event analysis of micro …

Abstract Concept factorization (CF) has attracted widespread attention for its promising
performance in document clustering. Among various CF variants, graph-regularized CF is …

Due to the heterogeneity gap in multi-view data, researchers have been attempting to apply
these data to learn a co-latent representation to bridge this gap. However, multi-view …

The task of text-video retrieval aims to understand the correspondence between language
and vision and has gained increasing attention in recent years. Recent works have …

As one of the representative types of user-generated contents (UGCs) in social platforms,
micro-videos have been becoming popular in our daily life. Although micro-videos naturally …

Semi-supervised multi-label feature selection has recently been developed to solve the
curse of dimensionality problem in high-dimensional multi-label data with certain samples …