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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
No-reference stereoscopic image quality assessment using 3D visual saliency maps fused with three-channel convolutional neural network
In this paper, we present a depth-perceived 3D visual saliency map and propose a no-reference stereoscopic image quality assessment (NR SIQA) algorithm using 3D visual saliency maps and convolutional neural ne...
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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...
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Chapter and Conference Paper
D\(^{2}\)PLS: A Novel Bilinear Method for Facial Feature Fusion
Two-dimensional partial least squares (2DPLS) is an effective two-view data analysis technique. However, conventional 2DPLS only takes into account the column information of two-dimensional images. In this pap...
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Chapter and Conference Paper
Clustering Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Dynamic Optimization Problems
Solving dynamic optimization problems (DOPs) has become the research focus in the optimization area in recent years. In view of the dynamics and complexity of DOPs, quantum-behaved particle swarm optimization ...
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Chapter and Conference Paper
Discriminative Scatter Regularized CCA for Multiview Image Feature Learning and Recognition
In this paper, we propose a novel supervised canonical correlation analysis approach based on discriminative scatter regularization for multiview image feature learning. This method at the same time considers ...
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Chapter and Conference Paper
Quad-Tree 3D Modeling Technology Oriented to WMS-Based Raster Grid Data
For WMS-based projection plane data this paper puts forward a comprehensive construct method and optimization technology of global 3D modeling by Quad-Tree Model. In that model, tile region is set by its layer...