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西北工业大学 国内
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科研成果
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查看 Scopus 资料
闫 庆森
Professor
计算机学院
h-index
2792
引用
25
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
2014
2026
每年的科研成果
综述
指纹
网络
科研成果
(84)
相似简介
(8)
指纹
深入其中 Qingsen Yan 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
Annotation
30%
Computational Complexity
12%
Computer Vision
17%
Continual Learning
15%
Contrastive Learning
11%
Convolution Layer
11%
Convolutional Network
15%
Convolutional Neural Network
18%
Deep Learning Method
34%
Deep Neural Network
47%
Diffusion Model
30%
Experimental Result
42%
Feature Extraction
11%
Feature Fusion
21%
Feature Space
18%
Global Information
11%
High Dynamic Range Image
73%
High Dynamic Range Imaging
100%
Image Analysis
18%
Image Enhancement
30%
image feature
16%
Image Gradient
11%
Image Quality
22%
Image Quality Assessment
18%
Image Restoration
40%
Image Segmentation
26%
Image Synthesis
21%
Language Modeling
15%
Learning Framework
13%
Learning System
20%
local feature
13%
Local Information
18%
Machine Learning
20%
Postprocessing
15%
Receptive Field
17%
Reference Image
26%
Representation Learning
18%
Segmentation Performance
15%
Sparse Representation
30%
Sparsity
14%
super resolution
22%
Table Lookup
15%
Tracking (Position)
12%
Tracking Algorithm
15%
Tracking Object
20%
Training Process
13%
Tumor Segmentation
11%
U-Net
12%
Vessel Segmentation
15%
Visual Quality
13%
Engineering
Aggregation Level
7%
Artificial Intelligence
7%
Bounding Box
10%
Computational Complexity
8%
Computervision
14%
Convolutional Neural Network
18%
Deep Learning Method
23%
Deep Neural Network
14%
Diffusion Model
8%
Dimensionality
7%
Dynamic Range
87%
Experimental Result
20%
Fine Detail
5%
Frequency Decomposition
7%
Frequency Domain
5%
High Resolution
11%
Hybrid Model
7%
Hyperspectral Image
7%
Image Analysis
16%
Image Enhancement
37%
Image Restoration
38%
Image Synthesis
10%
Internal Feature
7%
Level Feature
9%
Local Information
10%
Lookup Table
7%
Medical Image
10%
Medical Image Segmentation
7%
Metrics
16%
Motion Blur
7%
Moving Object
11%
Multiscale
35%
Observed Image
7%
Radiologist
8%
Receptive Field
7%
Receptive Field Size
7%
Reference Image
8%
Review Paper
7%
Scale Feature
17%
Segmentation Map
7%
Single Image
7%
Singular Value Decomposition
7%
Skin Lesion Segmentation
7%
Space Image
7%
Spatial Attention
10%
State-of-the-Art Method
11%
Target Tracking
15%
Texture Information
8%
Tracking (Position)
7%
Tracking Algorithm
7%
