6 papers
Active learning using adaptable task-based prioritisation
Shaheer U. Saeed, João Ramalhinho, Mark Pinnock +9
Supervised machine learning-based medical image computing applications necessitate expert label curation, while unlabelled image data might be relatively abundant. Active learning…
Modeling and Enhancing Low-quality Retinal Fundus Images
Ziyi Shen, Huazhu Fu, Jianbing Shen +1
Retinal fundus images are widely used for the clinical screening and diagnosis of eye diseases. However, fundus images captured by operators with various levels of experience have…
Human-Aware Motion Deblurring
Ziyi Shen, Wenguan Wang, Xiankai Lu +4
This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG). The proposed model is based on a triple-bra…
Exploiting Semantics for Face Image Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu +2
In this paper, we propose an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks. As the human faces are highly str…
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking
Jie Guo, Tingfa Xu, Shenwang Jiang +1
Deep convolutional neural networks (CNNs) have dominated many computer vision domains because of their great power to extract good features automatically. However, many deep CNNs-b…
Deep Semantic Face Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu +2
In this paper, we present an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks (CNNs). As face images are highly…