AI 2000计算机视觉领域学者排名每年选出前10名学者为“最具影响力学者”,前11-100名学者为“最具影响力学者提名”。该名录旨在表彰推动计算机视觉领域进步和创新的杰出学者。
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查查你的排名:
1
-

得分:361k
2
1

Object Detection
Artificial Intelligence
Computer Vision
Computer Science
Image Classification
得分:267k
3
1

得分:265k
5
-

Object Detection
Object Recognition
Feature Extraction
Computer Vision
Deformable Part Model
得分:182k
6
1

Machine Learning
Arrival Time
Neural Networks
Straight-line Program
Image Recognition
得分:126k
7
1

Object Detection
Computer Vision
Feature Extraction
Pedestrian Detection
Pose Estimation
得分:124k
8
-

Machine Learning
Deep Architecture
Deep Learning
Unsupervised Pre-training
Video Prediction
得分:101k
9
4

Object Detection
Example-based Human Motion Extrapolation
Cross Camera People
Gradient Domain
Segmentation Mask
得分:100k
12
1

Neural Networks
Neural Arithmetic Logic Units
Fine-grained Visual Descriptions
Sample Complexity
Natural Language Interface
得分:93k
13
1

Speech Recognition
Acoustic Modeling
Automatic Speech Recognition
Hidden Markov Models
Deep Neural Networks
得分:87k
14
2

Computer Vision
Image Segmentation
Object Recognition
Object Detection
Feature Extraction
得分:86k
15
1

Computer Vision
Object Recognition
Image Classification
Motion Estimation
Artificial Intelligence
得分:85k
16
3

Computer Vision
Object Recognition
Image Segmentation
Object Detection
Layout
得分:77k
17
2

得分:71k
18
2

Computer Vision
Image Segmentation
Object Recognition
Feature Extraction
Shape
得分:66k
19
5

得分:62k
21
1

Machine Learning
Image Segmentation
Feature Extraction
Optimization Problem
Computer Vision
得分:59k
22
5

Image Memorability
Computer Vision
Generative Models
Visualization
Contrastive Learning
得分:58k
24
2

得分:56k
25
4

Vision + Graphics
Image Segmentation
Multiple Instance Learning
Image Editing
Vision For Graphics
得分:54k
26
3

Computer Vision
Object Recognition
Image Classification
Feature Extraction
Object Detection
得分:54k
27
1

Object Detection
Image Classification
Visual Recognition
Domain Adaptation
Semantic Segmentation
得分:51k
28
4

Object Detection
Computer Vision
Computational Modeling
Image Segmentation
Object Recognition
得分:51k
29
5

Convolutional Neural Network
Object Detection
Image Classification
Computer Vision
Deep Learning
得分:51k
30
5

Deep Learning
Reinforcement Learning
Extreme Learning Machine
Computer Science
Task Analysis
得分:49k
31
10

Computational Modeling
Segmentation
Semantic Image Segmentation
Computer Vision
Unsupervised Learning
得分:48k
32
34

得分:48k
34
2

Machine Learning
Convex Optimization
High Dimensional Data
Nonlinear Dimensionality Reduction
Dimensionality Reduction
得分:46k
35
3

Computer Vision
Object Recognition
Unsupervised Learning
Feature Extraction
Motion Estimation
得分:46k
36
6

得分:45k
37
7

得分:41k
38
8

Computer Vision
Feature Extraction
Object Detection
Image Reconstruction
Object Recognition
得分:41k
39
6

Object Recognition
Computer Vision
Image Segmentation
Image Classification
Visual Question Answering
得分:41k
40
-

Robustness
Unsupervised Learning
Object Detection
Deep Learning
Learning Artificial Intelligence
得分:41k
41
2

Computer Vision
Object Recognition
Object Detection
Activity Recognition
Computer Science
得分:38k
42
6

Computer Vision
Object Detection
Object Recognition
Optimization
Image Classification
得分:37k
43
27

Deep Learning
Non-negative Matrix Factorization
Representation Learning
Clustering
Unsupervised Learning
得分:36k
45
8

Computer Vision
Image Segmentation
Visual Question Answering
Reinforcement Learning
Interactive Co-segmentation
得分:36k
47
25

Machine Learning
Natural Language Processing
Computer Science
Object Detection
Deep Learning
得分:35k
48
10

Feature Extraction
Deep Learning
Action Recognition
Image Recognition
Face Recognition
得分:35k
49
5

Computer Vision
Image Segmentation
Semantic Segmentation
Deep Learning
Graph Cut
得分:34k
50
3

Object Recognition
Artificial Intelligence
Feature Extraction
Image Recognition
Computer Vision
得分:34k
51
-

Computer Vision
Depth Prediction
Semantic Segmentation
Decoders
Neural Network Architectures
得分:33k
52
26

Earth Sciences
Injury Prevention
Suicide Prevention
Human Factors
Occupational Safety
得分:33k
53
35

Computer Vision
Object Recognition
Object Detection
Image Classification
Computer Science
得分:33k
54
2

Computer Vision
Computer Science
Artificial Intelligence
Object Recognition
Digital Image Data
得分:31k
56
1

得分:30k
58
3
Face Recognition
Affective Computing
Computer Vision
Human Pose Embedding
Probabilistic Embedding
得分:30k
59
3

Computer Vision
Object Recognition
Operational Amplifiers
Cmos Technology
Low Voltage
得分:30k
60
11

得分:29k
61

Shiny Surface
Ottimizzazione Della Riabilitazione Cognitiva
Pazienti Con Sclerosi Multipla
Dello Stato Di Sollecitazione
Di Correlazione Tra Triassialit
得分:29k
62
32

得分:29k
63
16

Computer Science
Artificial Intelligence
Computer Vision
Pattern Recognition
Image (mathematics)
得分:28k
65
6

Speech Recognition
Feature Extraction
Object Recognition
Object Detection
Domain Adaptation
得分:28k
66

得分:28k
67
8

Image Classification
Computer Vision
Feature Extraction
Deep Learning
Convolutional Neural Networks
得分:28k
68
12

Convolutional Neural Networks
Integrated Gpu
Face Recognition
Control Divergence
Warp Regrouping
得分:27k
69
14

Convolutional Neural Networks
Heat Flow
Kinetic Inductance Detector
Geothermal Resources
Temperature Measurement
得分:27k
70
15

Convolutional Neural Networks
Organic Electroluminescent Devices
Multi-level Discriminative Dictionary Learning
Multiple Feature Representation
Phase Hop Diversity
得分:27k
71
11

Object Detection
Deep Learning Layers
Categorization
Machine Translation System
Artificial Intelligence
得分:27k
72
9

Object Detection
Pose Estimation
Two Dimensional Displays
Artificial Intelligence
Three-dimensional Displays
得分:26k
73
6

Computer Vision
Object Recognition
Image Classification
Image Retrieval
Feature Extraction
得分:26k
74
1

得分:26k
75
2

Computer Vision
Robustness
Image Segmentation
Markov Processes
Monte Carlo Methods
得分:26k
76
46

Object Tracking
Visual Tracking
Visualization
Feature Extraction
Robustness
得分:26k
77
56

Convolutional Neural Network
Detection Performance
Object Detection
Deep Neural Network
Class Probabilities
得分:25k
79
23

得分:25k
80
4

Alcohol Dependence
Oxidation
Contact Resistance
Scanning Electron Microscopy
Forgetting
得分:24k
81

得分:24k
82
19

Object Detection
Computer Vision
Computer Science
Feature Extraction
Artificial Intelligence
得分:24k
83
7

Autonomous Driving
Object Detection
Image Segmentation
Gaussian Process
Gaussian Processes
得分:23k
84
16

Computer Vision
Optical Flow
Motion Estimation
Principal Component Analysis
Human Body
得分:23k
88
16

Visual Explanations
Deep Networks
Gradient-based Localization
Gradient-weighted Class Activation Mapping
Image Captioning
得分:23k
89
2

Feature Extraction
Computer Vision
Computer Science
Object Detection
Artificial Intelligence
得分:23k
90
20

Feature Extraction
Training
Deep Learning
Image Classification
Object Detection
得分:22k
91
24

Semantic Segmentation
Segmentation
Grouping And Shape Analysis
Pattern Recognition
Semantics
得分:22k
92
1

Face Recognition
Object Detection
Computer Vision
Feature Extraction
Image Segmentation
得分:22k
93
2

Generative Adversarial Networks
Deep Learning
Scene Understanding
Generative Adversarial Network
Semantics
得分:22k
95
21

Visual Tracking
Saliency Detection
Object Tracking
Feature Extraction
Salient Object Detection
得分:21k
96
3

Image Retrieval
Visualization
Task Analysis
Feature Extraction
Person Re-identification
得分:21k
97
23

Feature Extraction
Image Representation
Visual Tracking
Object Recognition
Object Detection
得分:21k
98
11

Deep Learning
Speech Processing
Rectified Linear Units
Computer Science
Artificial Intelligence
得分:21k
99
30

Computer Vision
Object Recognition
Image Classification
Image Retrieval
Action Recognition
得分:21k
100
32

Visual Tracking
Computer Vision
Deep Learning
Performance Evaluation
Super Resolution
得分:21k
1
-

得分:361k
2
1

Object Detection
Artificial Intelligence
Computer Vision
Computer Science
Image Classification
得分:267k
3
1

得分:265k
5
-

Object Detection
Object Recognition
Feature Extraction
Computer Vision
Deformable Part Model
得分:182k
6
1

Machine Learning
Arrival Time
Neural Networks
Straight-line Program
Image Recognition
得分:126k
7
1

Object Detection
Computer Vision
Feature Extraction
Pedestrian Detection
Pose Estimation
得分:124k
8
-

Machine Learning
Deep Architecture
Deep Learning
Unsupervised Pre-training
Video Prediction
得分:101k
9
4

Object Detection
Example-based Human Motion Extrapolation
Cross Camera People
Gradient Domain
Segmentation Mask
得分:100k
12
1

Neural Networks
Neural Arithmetic Logic Units
Fine-grained Visual Descriptions
Sample Complexity
Natural Language Interface
得分:93k
13
1

Speech Recognition
Acoustic Modeling
Automatic Speech Recognition
Hidden Markov Models
Deep Neural Networks
得分:87k
14
2

Computer Vision
Image Segmentation
Object Recognition
Object Detection
Feature Extraction
得分:86k
15
1

Computer Vision
Object Recognition
Image Classification
Motion Estimation
Artificial Intelligence
得分:85k
16
3

Computer Vision
Object Recognition
Image Segmentation
Object Detection
Layout
得分:77k
17
2

得分:71k
18
2

Computer Vision
Image Segmentation
Object Recognition
Feature Extraction
Shape
得分:66k
19
5

得分:62k
21
1

Machine Learning
Image Segmentation
Feature Extraction
Optimization Problem
Computer Vision
得分:59k
22
5

Image Memorability
Computer Vision
Generative Models
Visualization
Contrastive Learning
得分:58k
24
2

得分:56k
25
4

Vision + Graphics
Image Segmentation
Multiple Instance Learning
Image Editing
Vision For Graphics
得分:54k
26
3

Computer Vision
Object Recognition
Image Classification
Feature Extraction
Object Detection
得分:54k
27
1

Object Detection
Image Classification
Visual Recognition
Domain Adaptation
Semantic Segmentation
得分:51k
28
4

Object Detection
Computer Vision
Computational Modeling
Image Segmentation
Object Recognition
得分:51k
29
5

Convolutional Neural Network
Object Detection
Image Classification
Computer Vision
Deep Learning
得分:51k
30
5

Deep Learning
Reinforcement Learning
Extreme Learning Machine
Computer Science
Task Analysis
得分:49k
31
10

Computational Modeling
Segmentation
Semantic Image Segmentation
Computer Vision
Unsupervised Learning
得分:48k
32
34

得分:48k
34
2

Machine Learning
Convex Optimization
High Dimensional Data
Nonlinear Dimensionality Reduction
Dimensionality Reduction
得分:46k
35
3

Computer Vision
Object Recognition
Unsupervised Learning
Feature Extraction
Motion Estimation
得分:46k
36
6

得分:45k
37
7

得分:41k
38
8

Computer Vision
Feature Extraction
Object Detection
Image Reconstruction
Object Recognition
得分:41k
39
6

Object Recognition
Computer Vision
Image Segmentation
Image Classification
Visual Question Answering
得分:41k
40
-

Robustness
Unsupervised Learning
Object Detection
Deep Learning
Learning Artificial Intelligence
得分:41k
41
2

Computer Vision
Object Recognition
Object Detection
Activity Recognition
Computer Science
得分:38k
42
6

Computer Vision
Object Detection
Object Recognition
Optimization
Image Classification
得分:37k
43
27

Deep Learning
Non-negative Matrix Factorization
Representation Learning
Clustering
Unsupervised Learning
得分:36k
45
8

Computer Vision
Image Segmentation
Visual Question Answering
Reinforcement Learning
Interactive Co-segmentation
得分:36k
47
25

Machine Learning
Natural Language Processing
Computer Science
Object Detection
Deep Learning
得分:35k
48
10

Feature Extraction
Deep Learning
Action Recognition
Image Recognition
Face Recognition
得分:35k
49
5

Computer Vision
Image Segmentation
Semantic Segmentation
Deep Learning
Graph Cut
得分:34k
50
3

Object Recognition
Artificial Intelligence
Feature Extraction
Image Recognition
Computer Vision
得分:34k
51
-

Computer Vision
Depth Prediction
Semantic Segmentation
Decoders
Neural Network Architectures
得分:33k
52
26

Earth Sciences
Injury Prevention
Suicide Prevention
Human Factors
Occupational Safety
得分:33k
53
35

Computer Vision
Object Recognition
Object Detection
Image Classification
Computer Science
得分:33k
54
2

Computer Vision
Computer Science
Artificial Intelligence
Object Recognition
Digital Image Data
得分:31k
56
1

得分:30k
58
3
Face Recognition
Affective Computing
Computer Vision
Human Pose Embedding
Probabilistic Embedding
得分:30k
59
3

Computer Vision
Object Recognition
Operational Amplifiers
Cmos Technology
Low Voltage
得分:30k
60
11

得分:29k
61

Shiny Surface
Ottimizzazione Della Riabilitazione Cognitiva
Pazienti Con Sclerosi Multipla
Dello Stato Di Sollecitazione
Di Correlazione Tra Triassialit
得分:29k
62
32

得分:29k
63
16

Computer Science
Artificial Intelligence
Computer Vision
Pattern Recognition
Image (mathematics)
得分:28k
65
6

Speech Recognition
Feature Extraction
Object Recognition
Object Detection
Domain Adaptation
得分:28k
66

得分:28k
67
8

Image Classification
Computer Vision
Feature Extraction
Deep Learning
Convolutional Neural Networks
得分:28k
68
12

Convolutional Neural Networks
Integrated Gpu
Face Recognition
Control Divergence
Warp Regrouping
得分:27k
69
14

Convolutional Neural Networks
Heat Flow
Kinetic Inductance Detector
Geothermal Resources
Temperature Measurement
得分:27k
70
15

Convolutional Neural Networks
Organic Electroluminescent Devices
Multi-level Discriminative Dictionary Learning
Multiple Feature Representation
Phase Hop Diversity
得分:27k
71
11

Object Detection
Deep Learning Layers
Categorization
Machine Translation System
Artificial Intelligence
得分:27k
72
9

Object Detection
Pose Estimation
Two Dimensional Displays
Artificial Intelligence
Three-dimensional Displays
得分:26k
73
6

Computer Vision
Object Recognition
Image Classification
Image Retrieval
Feature Extraction
得分:26k
74
1

得分:26k
75
2

Computer Vision
Robustness
Image Segmentation
Markov Processes
Monte Carlo Methods
得分:26k
76
46

Object Tracking
Visual Tracking
Visualization
Feature Extraction
Robustness
得分:26k
77
56

Convolutional Neural Network
Detection Performance
Object Detection
Deep Neural Network
Class Probabilities
得分:25k
79
23

得分:25k
80
4

Alcohol Dependence
Oxidation
Contact Resistance
Scanning Electron Microscopy
Forgetting
得分:24k
81

得分:24k
82
19

Object Detection
Computer Vision
Computer Science
Feature Extraction
Artificial Intelligence
得分:24k
83
7

Autonomous Driving
Object Detection
Image Segmentation
Gaussian Process
Gaussian Processes
得分:23k
84
16

Computer Vision
Optical Flow
Motion Estimation
Principal Component Analysis
Human Body
得分:23k
88
16

Visual Explanations
Deep Networks
Gradient-based Localization
Gradient-weighted Class Activation Mapping
Image Captioning
得分:23k
89
2

Feature Extraction
Computer Vision
Computer Science
Object Detection
Artificial Intelligence
得分:23k
90
20

Feature Extraction
Training
Deep Learning
Image Classification
Object Detection
得分:22k
91
24

Semantic Segmentation
Segmentation
Grouping And Shape Analysis
Pattern Recognition
Semantics
得分:22k
92
1

Face Recognition
Object Detection
Computer Vision
Feature Extraction
Image Segmentation
得分:22k
93
2

Generative Adversarial Networks
Deep Learning
Scene Understanding
Generative Adversarial Network
Semantics
得分:22k
95
21

Visual Tracking
Saliency Detection
Object Tracking
Feature Extraction
Salient Object Detection
得分:21k
96
3

Image Retrieval
Visualization
Task Analysis
Feature Extraction
Person Re-identification
得分:21k
97
23

Feature Extraction
Image Representation
Visual Tracking
Object Recognition
Object Detection
得分:21k
98
11

Deep Learning
Speech Processing
Rectified Linear Units
Computer Science
Artificial Intelligence
得分:21k
99
30

Computer Vision
Object Recognition
Image Classification
Image Retrieval
Action Recognition
得分:21k
100
32

Visual Tracking
Computer Vision
Deep Learning
Performance Evaluation
Super Resolution
得分:21k