244 citations · 510 across the 18 of their papers we have counts for
15 papers · 1 filter
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection
Jing Yang, Jie Shen, Yiming Lin +2
Due to its importance in facial behaviour analysis, facial action unit (AU) detection has attracted increasing attention from the research community. Leveraging the online knowledg…
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…
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…
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…
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…
RoI Tanh-polar Transformer Network for Face Parsing in the Wild
Yiming Lin, Jie Shen, Yujiang Wang +1
Face parsing aims to predict pixel-wise labels for facial components of a target face in an image. Existing approaches usually crop the target face from the input image with respec…
Lip-reading with Densely Connected Temporal Convolutional Networks
Pingchuan Ma, Yujiang Wang, Jie Shen +2
In this work, we present the Densely Connected Temporal Convolutional Network (DC-TCN) for lip-reading of isolated words. Although Temporal Convolutional Networks (TCN) have recent…
Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation
Yujiang Wang, Mingzhi Dong, Jie Shen +2
Dilated convolutions are widely used in deep semantic segmentation models as they can enlarge the filters' receptive field without adding additional weights nor sacrificing spatial…
Towards Pose-invariant Lip-Reading
Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos +4
Lip-reading models have been significantly improved recently thanks to powerful deep learning architectures. However, most works focused on frontal or near frontal views of the mou…
Shape Constrained Network for Eye Segmentation in the Wild
Bingnan Luo, Jie Shen, Shiyang Cheng +2
Semantic segmentation of eyes has long been a vital pre-processing step in many biometric applications. Majority of the works focus only on high resolution eye images, while little…
Dynamic Face Video Segmentation via Reinforcement Learning
Yujiang Wang, Mingzhi Dong, Jie Shen +3
For real-time semantic video segmentation, most recent works utilised a dynamic framework with a key scheduler to make online key/non-key decisions. Some works used a fixed key sch…
Face Mask Extraction in Video Sequence
Yujiang Wang, Bingnan Luo, Jie Shen +1
Inspired by the recent development of deep network-based methods in semantic image segmentation, we introduce an end-to-end trainable model for face mask extraction in video sequen…
MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
Yiming Lin, Shiyang Cheng, Jie Shen +1
Face tracking serves as the crucial initial step in mobile applications trying to analyse target faces over time in mobile settings. However, this problem has received little atten…
A real-time and unsupervised face Re-Identification system for Human-Robot Interaction
Yujiang Wang, Jie Shen, Stavros Petridis +1
In the context of Human-Robot Interaction (HRI), face Re-Identification (face Re-ID) aims to verify if certain detected faces have already been observed by robots. The ability of d…
Visual-Only Recognition of Normal, Whispered and Silent Speech
Stavros Petridis, Jie Shen, Doruk Cetin +1
Silent speech interfaces have been recently proposed as a way to enable communication when the acoustic signal is not available. This introduces the need to build visual speech rec…