Learning dual low-rank representation for multi-label micro-video classification
Currently, with the rapid development of mobile Internet, micro-video has become a
prevailing format of user-generated contents (UGCs) on various social media platforms …
prevailing format of user-generated contents (UGCs) on various social media platforms …
Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification
Currently, micro-videos are becoming an increasingly prevailing form of user-generated
contents (UGCs) on various social platforms. Several studies have been conducted to …
contents (UGCs) on various social platforms. Several studies have been conducted to …
Multimodal Attentive Representation Learning for Micro-video Multi-label Classification
P Jing, X Liu, L Zhang, Y Li, Y Liu, Y Su - ACM Transactions on …, 2024 - dl.acm.org
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 …
micro-videos have been becoming popular in our daily life. Although micro-videos naturally …
Dual-Domain Aligned Deep Hierarchical Matrix Factorization Method for Micro-Video Multi-Label Classification
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 …
increasing attention due to its potential commercial value in different scenarios. However …
SADCMF: Self-Attentive Deep Consistent Matrix Factorization for Micro-Video Multi-Label Classification
Currently, there is a growing scholarly and industrial interest in micro-video-centric research.
Within these domains, multi-label learning has emerged as a fundamental yet attractive …
Within these domains, multi-label learning has emerged as a fundamental yet attractive …
Low-rank regularized deep collaborative matrix factorization for micro-video multi-label classification
Y Su, D Hong, Y Li, P Jing - IEEE Signal Processing Letters, 2020 - ieeexplore.ieee.org
Deep matrix factorization can be regarded as an extension of traditional matrix factorization
to help improve applications like social image tag refinement, image retrieval, and face …
to help improve applications like social image tag refinement, image retrieval, and face …
A multimodal aggregation network with serial self-attention mechanism for micro-video multi-label classification
W Lu, J Lin, P Jing, Y Su - IEEE Signal Processing Letters, 2023 - ieeexplore.ieee.org
Currently, micro-videos have attracted increasing attention due to their unique properties
and great commercial value. Considering that micro-videos naturally incorporate multimodal …
and great commercial value. Considering that micro-videos naturally incorporate multimodal …
Multimodal deep hierarchical semantic-aligned matrix factorization method for micro-video multi-label classification
As one of the typical formats of prevalent user-generated content in social media platforms,
micro-videos inherently incorporate multimodal characteristics associated with a group of …
micro-videos inherently incorporate multimodal characteristics associated with a group of …
Multimodal Progressive Modulation Network for Micro-video Multi-label Classification
Micro-videos, as an increasingly popular form of user-generated content (UGC), naturally
include diverse multimodal cues. However, in pursuit of consistent representations, existing …
include diverse multimodal cues. However, in pursuit of consistent representations, existing …
Semi-supervised low-rank mapping learning for multi-label classification
Multi-label problems arise in various domains including automatic multimedia data
categorization, and have generated significant interest in computer vision and machine …
categorization, and have generated significant interest in computer vision and machine …