10 Result(s)
within
Article
Haiyong **
Computer Communication Networks
Data Structures and Information Theory
Special Purpose and Application-Based Systems
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Article
A 4D strong spatio-temporal feature learning network for behavior recognition of point cloud sequences
Although the depth map sequence widely used in behavior recognition can provide depth information. However, depth pixels are not strongly correlated with each other, and the spatio-temporal structure informati...
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Article
Multi-object reconstruction of plankton digital holograms
Plankton is the base of the ocean ecosystem and is very sensitive to changes in their environment. Thus, monitoring the status of plankton in-situ has incredible importance for environmental study. Hologram is on...
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Article
Robust HDR video watermarking method based on the HVS model and T-QR
In order to protect the copyright of the high dynamic range (HDR) video, a robust HDR video watermarking method based on the human visual system (HVS) model and Tensor-QR decomposition (T-QR) is proposed. In o...
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Article
Multi-exposure image fusion based on tensor decomposition
In this paper, a multi-exposure image fusion (MEF) method is proposed based on tensor decomposition and saliency model. The main innovation of the proposed method is to explore a tensor domain for MEF and defi...
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Article
Depth map prediction from a single image with generative adversarial nets
A depth map is a fundamental component of 3D construction. Depth map prediction from a single image is a challenging task in computer vision. In this paper, we consider the depth prediction as an image-to-imag...
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Article
Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework
Fine-grained feature detection and recognition is an important but tough work due to the resolution and noisy representation. Synthesize images with a specified tiny feature is even more challenging. Existing ...
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Article
KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling
Imbalanced learning has become a research emphasis in recent years because of the growing number of class-imbalance classification problems in real applications. It is particularly challenging when the imbalan...
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Article
A novel robust color image watermarking method using RGB correlations
In order to protect the copyright of the color image, a novel robust color image watermarking method using correlations of RGB channels is presented. RGB three channels of the color image have much strong corr...
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Article
Sparse recovery based reversible data hiding method using the human visual system
In this paper, a novel sparse recovery based reversible data hiding (RDH) method using the human visual system (HVS) is presented. To improve the low accuracy of existing predictors, a sparse recovery based pr...
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Article
A novel edge detection approach using a fusion model
Edge detection is a long standing but still challenging problem. Although there are many effective edge detectors, none of them can obtain ideal edges in every situation. To make the results robust for any ima...
