跳到主要导航
跳到搜索
跳到主要内容
北京理工大学 首页
English
中文
首页
师资队伍
研究单位
科研成果
奖项
按专业知识、名称或附属进行搜索
查看 Scopus 资料
时 永刚
集成电路与电子学院
h-index
265
引用
9
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
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(51)
相似学者
(1)
指纹图谱
深入其中 Yonggang Shi 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
Adversarial Model
15%
Aggregation Network
15%
Automatic Segmentation
20%
Convolutional Network
18%
Convolutional Neural Network
39%
Deep Learning
38%
Dictionary Learning
37%
Displacement Field
22%
Energy Function
15%
Experimental Result
100%
Fourier Descriptor
20%
Generative Adversarial Networks
51%
Image Analysis
43%
Image Processing
35%
Image Segmentation
45%
Image Sequence
27%
Intensive Computation
15%
Kalman Filter
15%
Leibler Divergence
51%
markov random field model
22%
Medical Image Data
15%
Microscopic Image
15%
model-driven development
15%
Morphological Analysis
15%
multi sensor
15%
Mutual Information
70%
Neural Network
31%
Object Detection
25%
Parallel Implementation
15%
Parallelism
15%
Pattern Recognition
20%
Polyp Segmentation
30%
Quantitative Measurement
15%
Real Time Performance
15%
Representation Method
30%
Search Strategies
15%
Search Technology
15%
segmentation accuracy
36%
Segmentation Method
55%
shape context
15%
shape descriptor
15%
Shape Representation
20%
Single Instruction Multiple Data
15%
Sparse Representation
27%
Sum Of Absolute Difference
15%
super resolution
30%
Temporal Feature
30%
Tracking System
15%
U-Net
25%
Video Database
22%
Engineering
Absolute Difference
15%
Classification Network
22%
Conducted Experiment
15%
Context Information
15%
Convolutional Neural Network
15%
Critical Role
15%
Dark Light
15%
Deep Learning
18%
Diamond
15%
Dynamic Deformation
22%
Energy Function
22%
Experimental Result
91%
Field Image
15%
Fourier Descriptor
17%
Good Agreement
15%
Image Analysis
53%
Image Data
15%
Image Information
15%
Image Processing
34%
Image Sequence
40%
Intensity Value
20%
Joints (Structural Components)
17%
Kalman Filter
15%
Kullback-Leibler Divergence
22%
Learning Vector Quantization
15%
Live Cell
34%
Lymphocyte
60%
Maximization
15%
Medical Image
88%
Medical Image Segmentation
15%
Metrics
18%
Motion Blur
30%
Motion Estimation
15%
Mutual Information
35%
Numerical Example
15%
Parallelism
15%
Pattern Recognition
18%
Peak Signal
22%
Performance Analysis
15%
Random Field
30%
Random Field Model
18%
Realization
15%
Restored Image
22%
Segmentation Method
49%
Signal-to-Noise Ratio
22%
Similarities
48%
Structural Similarity
22%
Structure Information
15%
Tasks
22%
Test Result
22%