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Article
Maritime traffic situation awareness analysis via high-fidelity ship imaging trajectory
Situation awareness provides crucial yet instant information to maritime traffic participants, and significant attentions are paid to implement traffic situation awareness task via various maritime data source...
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Article
Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network
The purpose of stereoscopic image quality assessment (SIQA) is to design an objective evaluation algorithm to automatically evaluate the quality of stereoscopic image. In this paper, we propose a blind SIQA me...
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Article
An ensemble multi-scale residual attention network (EMRA-net) for image Dehazing
Image dehazing aims to recover a clean image from a hazy image, which is a challengingly longstanding problem. In this paper, we propose an Ensemble Multi-scale Residual Attention Network (EMRA-Net) to directl...
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Article
Two stages double attention convolutional neural network for crowd counting
Crowd counting has captured wide attention in computer vision, which aims to accurately count the number of people in still images or video scenes. However, it’s still a challenging task due to the scale varia...