14 citations · 37 across the 7 of their papers we have counts for
7 papers
Multimodal LLM-based Query Paraphrasing for Video Search
Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan +3
Text-to-video retrieval answers user queries through searches based on concepts and embeddings. However, due to limitations in the size of the concept bank and the amount of traini…
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video
Bruce X. B. Yu, Zhi Zhang, Yongxu Liu +3
3D human pose estimation has been researched for decades with promising fruits. 3D human pose lifting is one of the promising research directions toward the task where both estimat…
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition
Zhi Zhang, Sheng-hua Zhong, Yan Liu
The data scarcity problem in Electroencephalography (EEG) based affective computing results into difficulty in building an effective model with high accuracy and stability using ma…
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
Yuncong Li, Cunxiang Yin, Sheng-hua Zhong +1
Aspect-category sentiment analysis (ACSA) aims to predict sentiment polarities of sentences with respect to given aspect categories. To detect the sentiment toward a particular asp…
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
Yuncong Li, Cunxiang Yin, Sheng-hua Zhong
Aspect category sentiment analysis (ACSA) aims to predict the sentiment polarities of the aspect categories discussed in sentences. Since a sentence usually discusses one or more a…
CIS-Net: A Novel CNN Model for Spatial Image Steganalysis via Cover Image Suppression
Songtao Wu, Sheng-hua Zhong, Yan Liu +1
Image steganalysis is a special binary classification problem that aims to classify natural cover images and suspected stego images which are the results of embedding very weak sec…
A Novel Convolutional Neural Network for Image Steganalysis with Shared Normalization
Songtao Wu, Sheng-hua Zhong, Yan Liu
Deep learning based image steganalysis has attracted increasing attentions in recent years. Several Convolutional Neural Network (CNN) models have been proposed and achieved state-…