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Chapter and Conference Paper
Detection of Image Splicing Based on Hilbert-Huang Transform and Moments of Characteristic Functions with Wavelet Decomposition
Image splicing is a commonly used technique in image tampering. This paper presents a novel approach to passive detection of image splicing. In the proposed scheme, the image splicing detection problem is tack...
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Chapter and Conference Paper
Steganalysis Using High-Dimensional Features Derived from Co-occurrence Matrix and Class-Wise Non-Principal Components Analysis (CNPCA)
This paper presents a novel steganalysis scheme with high-dimensional feature vectors derived from co-occurrence matrix in either spatial domain or JPEG coefficient domain, which is sensitive to data embedding...
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Chapter and Conference Paper
Research and Application of Corrosion Prediction Based on GRA-SVR
Corrosion prediction is a technology of finding the corrosion law based on material corrosion data. Due to corrosion data has the characteristics of high dimensional nonlinearity, randomness and limited sizes,...
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Chapter and Conference Paper
Research on a Super-Sparse Data Generation Model for Temperature Data Map
Data visualization is an important method in data mining, and temperature data map is one of the methods of data visualization. When sample temperature points are limited, it brings the main content of the res...
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Chapter and Conference Paper
Hand Target Extraction of Thermal Trace Image Using Feature and Manifold Inspired by Coordination of Immune
In this paper, the immune mechanism is used to solve the problem of fuzzy target extraction in infrared thermal trace images. First, imitating the innate immunity, the maximum variance method was used to initi...
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Chapter and Conference Paper
Adaptive Learning Compressive Tracking Based on Kalman Filter
Object tracking has theoretical and practical application value in video surveillance, virtual reality and automatic navigation. Compressive tracking(CT) is widely used because of its advantages in accuracy a...
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Chapter and Conference Paper
An Artery/Vein Classification Method Based on Color and Vascular Structure Information
Identifying arteries and veins from fundus images plays an important role in human health census. Fundus images have the characteristics of uneven brightness, complexly staggered vessels, tiny difference betwe...
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Chapter and Conference Paper
U-Net with Attention Mechanism for Retinal Vessel Segmentation
Retinal vessel is the only vessel which can be observed directly, retinal vessel analysis is a crucial method for the screening and diagnosis of related diseases. In this paper, we propose a retinal vessel seg...
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Chapter and Conference Paper
3D Human Body Reconstruction from a Single Image
In this paper, a generative adversarial network based on SMPL model is used to reconstruct three-dimensional (3D) human mesh from a single image. The generative adversarial network consists of two parts (gener...
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Chapter and Conference Paper
On Position and Attitude Control of Flap** Wing Micro-aerial Vehicle
The flap** wing micro-air vehicle (FWMAV) is a new type of aerial vehicle which uses mechanical structure to simulate bird flight. The FWMAV possesses the characteristics of small size, light weight, high fl...
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Chapter and Conference Paper
A Proxy Node Resource Load Balancing Strategy Based on the Swift System
The internet of Things (IoT) uses wireless sensor devices to build a huge network transmission center, the data is increasing, and the data types have diverse characteristics. Such data raise a certain challen...
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Chapter and Conference Paper
A Non-autoregressive Decoding Model Based on Joint Classification for 3D Human Pose Regression
Recently, the graph convolution networks (GCN) has been widely applied in 3D human pose regression and has showed encouraging performance. One limitation of this method is that it only models the semantic corr...
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Chapter and Conference Paper
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Compressed video super-resolution (VSR) aims to restore high-resolution frames from compressed low-resolution counterparts. Most recent VSR approaches often enhance an input frame by “borrowing” relevant textu...
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Chapter and Conference Paper
Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection
Knowledge-aware dialogue generation aims to generate informative and meaningful responses with external knowledge. Existing works are still insufficient to encode retrieved knowledge regardless of the dialogue...