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西北工业大学 国内
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研究单位
科研成果
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查看 Scopus 资料
郑 江滨
Professor
软件学院
h-index
2070
引用
21
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2001
2025
每年的科研成果
综述
指纹
网络
科研成果
(168)
相似简介
(6)
指纹
深入其中 Jiangbin Zheng 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Experimental Result
100%
Watermarking
73%
Object Detection
73%
Attention (Machine Learning)
72%
Feature Extraction
61%
Convolutional Neural Network
51%
Representation Learning
46%
Deep Neural Network
44%
Unmanned Aerial Vehicle
44%
Classification Accuracy
39%
Support Vector Machine
36%
Watermarking Scheme
33%
Neural Network
31%
Motion Capture
31%
Geometric Attack
29%
document image
29%
Blind Technique
29%
Image Enhancement
29%
Reinforcement Learning
29%
Video Surveillance
29%
RGB-D Salient Object Detection
29%
Singular Spectrum
29%
Tracking Algorithm
29%
Foreground Detection
29%
Thermal Imagery
29%
Pose Estimation
29%
Object Recognition
29%
Forgery Detection
29%
Global Feature
29%
Image Classification
29%
Controlled Object
29%
Deep Learning Method
29%
Edge Detection
29%
Multiscale Edge
29%
Superior Performance
25%
Image Quality
24%
Generative Adversarial Networks
24%
Feature Space
23%
Data Augmentation
22%
3d Reconstruction
22%
Face Detection
22%
Neighboring Frame
22%
Effective Method
22%
Mean Average Precision
22%
Active Learning
21%
Remote Sensing Image
20%
Salient Object Detection
19%
Fourier Transform
19%
Linear Discriminant Analysis
19%
Multichannel Image
19%
Engineering
Multiscale
91%
Feature Extraction
63%
Experimental Result
56%
Deep Learning Method
52%
Hyperspectral Image
44%
Deep Neural Network
44%
Image Enhancement
44%
Image Watermarking
34%
Compression Method
32%
Convolutional Neural Network
31%
Computational Complexity
31%
Color Image
29%
Target Tracking
29%
Radar Target
29%
Edge Detection
29%
Unmanned Aerial Vehicle
29%
Support Vector Machine
28%
State-of-the-Art Method
27%
Scale Feature
26%
Computervision
25%
Image Region
22%
Dimensionality
22%
Selection Method
22%
Detection Algorithm
20%
Synthetic Aperture Radar Images
20%
Digital Watermarking
19%
Component Analysis
19%
Principal Component
19%
Sensing Application
19%
Network Model
19%
Artificial Neural Network Model
18%
Data Reduction
17%
Signal-to-Noise Ratio
17%
Edge Map
17%
Gaussians
17%
Level Feature
16%
Surface Mesh
14%
Color Channel
14%
Angular Error
14%
Nondifferentiability
14%
Mean Clustering Algorithm
14%
Parallelism
14%
Joints (Structural Components)
14%
Singular Spectrum
14%
Segmented Region
14%
Noise Performance
14%
Output Image
14%
Pose Estimation
14%
Region of Interest
14%
Interference Term
14%
