activity
20172023
most citedLip-reading with Densely Connected Temporal Convolutional Networks

77 citations · 275 across the 16 of their papers we have counts for

collaborators

19 papers

cs.LG2023

Medical records condensation: a roadmap towards healthcare data democratisation

Yujiang Wang, Anshul Thakur, Mingzhi Dong +5

The prevalence of artificial intelligence (AI) has envisioned an era of healthcare democratisation that promises every stakeholder a new and better way of life. However, the advanc…

cs.CV2022★ 59 cited

Training Strategies for Improved Lip-reading

Pingchuan Ma, Yujiang Wang, Stavros Petridis +2

Several training strategies and temporal models have been recently proposed for isolated word lip-reading in a series of independent works. However, the potential of combining the…

cs.CV2022★ 6 cited

Self-supervised Video-centralised Transformer for Video Face Clustering

Yujiang Wang, Mingzhi Dong, Jie Shen +5

This paper presents a novel method for face clustering in videos using a video-centralised transformer. Previous works often employed contrastive learning to learn frame-level repr…

cs.CV2022★ 17 cited

Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

Yingying Zhao, Yuhu Chang, Yutian Lu +8

Emotion recognition in smart eyewear devices is highly valuable but challenging. One key limitation of previous works is that the expression-related information like facial or eye…

cs.CV2021

Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups

Rafael Poyiadzi, Jie Shen, Stavros Petridis +2

Apparent emotional facial expression recognition has attracted a lot of research attention recently. However, the majority of approaches ignore age differences and train a generic…

cs.CV2021★ 5 cited

FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

Yiming Lin, Jie Shen, Yujiang Wang +1

Image-based age estimation aims to predict a person's age from facial images. It is used in a variety of real-world applications. Although end-to-end deep models have achieved impr…