5 citations · 9 across the 5 of their papers we have counts for
6 papers
GAANet: Global-guided Asymmetric Attention Network for Audio-Visual Speech Separation
Zhiyuan Zhang, Jingyuan Xu, Yiming Tang +2
Multi-scale design is crucial for efficient audio-visual speech separation, yet effectively modeling multi-scale information for audio-visual feature fusion remains challenging. We…
Multi-modal Affect Analysis using standardized data within subjects in the Wild
Sachihiro Youoku, Takahisa Yamamoto, Junya Saito +7
Human affective recognition is an important factor in human-computer interaction. However, the method development with in-the-wild data is not yet accurate enough for practical usa…
HiCOMEX: Facial Action Unit Recognition Based on Hierarchy Intensity Distribution and COMEX Relation Learning
Ziqiang Shi, Liu Liu, Zhongling Liu +3
The detection of facial action units (AUs) has been studied as it has the competition due to the wide-ranging applications thereof. In this paper, we propose a novel framework for…
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training
Ziqiang Shi, Liu Liu, Huibin Lin +1
In this paper, we propose a method called Hodge and Podge for sound event detection. We demonstrate Hodge and Podge on the dataset of Detection and Classification of Acoustic Scene…
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods
Ziqiang Shi, Liu Liu, Huibin Lin +2
In this paper, we present a method called HODGEPODGE\footnotemark[1] for large-scale detection of sound events using weakly labeled, synthetic, and unlabeled data proposed in the D…
Multi-view (Joint) Probability Linear Discrimination Analysis for Multi-view Feature Verification
Ziqiang Shi, Liu Liu, Mengjiao Wang +1
Multi-view feature has been proved to be very effective in many multimedia applications. However, the current back-end classifiers cannot make full use of such features. In this pa…