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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
2786
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
2025
每年的科研成果
综述
指纹
网络
科研成果
(83)
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
High Dynamic Range Imaging
100%
High Dynamic Range Image
73%
Deep Neural Network
47%
Experimental Result
42%
Image Restoration
40%
Deep Learning Method
34%
Image Enhancement
30%
Diffusion Model
30%
Annotation
30%
Sparse Representation
30%
Reference Image
26%
Image Segmentation
26%
Image Quality
22%
super resolution
22%
Feature Fusion
21%
Image Synthesis
21%
Machine Learning
20%
Learning System
20%
Tracking Object
20%
Image Quality Assessment
18%
Local Information
18%
Image Analysis
18%
Feature Space
18%
Representation Learning
18%
Convolutional Neural Network
18%
Computer Vision
17%
Receptive Field
17%
image feature
16%
Convolutional Network
15%
Table Lookup
15%
Segmentation Performance
15%
Tracking Algorithm
15%
Continual Learning
15%
Vessel Segmentation
15%
Language Modeling
15%
Postprocessing
15%
Sparsity
14%
Learning Framework
13%
Training Process
13%
local feature
13%
Visual Quality
13%
Computational Complexity
12%
Tracking (Position)
12%
U-Net
12%
Convolution Layer
11%
Global Information
11%
Image Gradient
11%
Tumor Segmentation
11%
Contrastive Learning
11%
Feature Extraction
11%
Engineering
Dynamic Range
87%
Image Restoration
38%
Image Enhancement
37%
Multiscale
35%
Deep Learning Method
23%
Experimental Result
20%
Convolutional Neural Network
18%
Scale Feature
17%
Image Analysis
16%
Metrics
16%
Target Tracking
15%
Deep Neural Network
14%
Computervision
14%
State-of-the-Art Method
11%
High Resolution
11%
Moving Object
11%
Spatial Attention
10%
Image Synthesis
10%
Medical Image
10%
Local Information
10%
Bounding Box
10%
Level Feature
9%
Reference Image
8%
Radiologist
8%
Computational Complexity
8%
Texture Information
8%
Diffusion Model
8%
Review Paper
7%
Skin Lesion Segmentation
7%
Segmentation Map
7%
Internal Feature
7%
Aggregation Level
7%
Lookup Table
7%
Artificial Intelligence
7%
Tracking (Position)
7%
Motion Blur
7%
Receptive Field Size
7%
Single Image
7%
Medical Image Segmentation
7%
Hyperspectral Image
7%
Tracking Algorithm
7%
Hybrid Model
7%
Observed Image
7%
Frequency Decomposition
7%
Singular Value Decomposition
7%
Dimensionality
7%
Space Image
7%
Receptive Field
7%
Frequency Domain
5%
Fine Detail
5%
