Computer Science
super resolution
100%
Experimental Result
89%
Anomaly Detection
76%
Biometrics
75%
Facial Expression
72%
Person Re-Identification
67%
Convolutional Neural Network
60%
Deep Learning
56%
facial image
50%
Computer Vision
47%
Video Sequences
44%
Face Recognition
43%
Object Detection
42%
Deep Neural Network
38%
Recognition Performance
29%
Expression Recognition
27%
Surveillance Camera
27%
Image Segmentation
27%
Superpixel
25%
Weather Condition
25%
Object Recognition
25%
thermal image
25%
Training Data
23%
Low Resolution Image
22%
Annotation
22%
Reidentification
21%
Quality Assessment
21%
Health Condition
21%
facial feature point
21%
Discriminative Feature
21%
Feature Extraction
21%
Object Detector
19%
Robot
19%
Human-Computer Interaction
19%
Image Quality
18%
Automatic Detection
18%
Neural Network
18%
Facial Feature
17%
Detection Method
17%
Tracking Method
17%
Action Recognition
16%
Research Direction
16%
Ensemble Learning
16%
Distributed Computing
16%
RGB Image
16%
Security Monitoring
16%
Biometric System
16%
Future Direction
16%
Design Challenge
16%
Autoencoder
16%
Engineering
High Resolution
36%
Face Image
30%
Convolutional Neural Network
28%
Heartbeat Rate
25%
Experimental Result
20%
Single Image
18%
Extremal
16%
Computervision
16%
Resolution Image
16%
Metrics
14%
Feature Point
14%
Deep Learning
14%
Biometric Recognition
12%
Sensor Fusion
12%
Dimensionality
12%
Low Resolution Image
12%
Limitations
11%
Quality Assessment
11%
RGB Image
11%
Tasks
9%
Gradient Magnitude
9%
Acquisition Time
8%
Light Field
8%
Super-Resolution Algorithm
8%
Key Frame
8%
Light Detector
8%
Grayscale Image
8%
Machine Learning Technique
8%
Test Subject
8%
Graph Cut
8%
Application of Sensors
8%
Functional Requirement
8%
Assisted Living
8%
Smart Home
8%
Image Pair
8%
Temporal Dimension
8%
Loss Function
8%
Input Level
8%
Muscle Activity
8%
Object Recognition
8%
Ground Truth Image
8%
Computational Complexity
8%
Image Representation
8%
Artificial Intelligence
8%
Exposure Time
8%
Hybrid Approach
8%
Deep Learning Method
8%
Light Condition
8%
Sampling Point
8%
Facial Expression
7%
Keyphrases
Brain-damaged Patients
16%
Traumatic Brain
16%
Facial Expression Recognition
16%
Machine Unlearning
16%
Face Quality
10%
Pan-tilt-zoom Camera
8%
Real-time Acquisition
8%
Face Sequences
8%
Face Detection
8%
Person Retrieval
8%
Pedestrian Attribute Recognition
8%
Dataset Design
8%
Pair-matching
8%
Frontal Face Images
8%
Improvement Factor
8%
Low-resolution Video
8%
Region Detection
8%
Stack Measurements
8%
Local Circularity
8%
Circularity Indicators
8%
Weight Estimation
8%
Circular Hough Transform
8%
Pulse Detection
8%
Haar-like
8%
Real-time Face Recognition
8%
Rectangle Features
8%
Biometric Recognition
8%
Head Motion
8%
Touch Detection
8%
Kinect for Windows
8%
RGB-D
8%
Facial Landmarks
8%
Roadside
8%
Distributed Monitoring
8%
Contactless Measurement
8%
Facial Feature Points
8%
Muscle Fatigue
8%
Person Re-identification
8%
Maximally Stable Extremal Regions
8%
Extremal Region of Extrema Level
8%
Transient Identification
8%
Medical Scenarios
8%
Intensity Level
8%
Heart Sound Signal
8%
Facial Expression Classification
8%
Light Enhancement
8%
Deep Representation
8%
Resolution Enhancement
8%
Video Analytics
8%
Image Super-resolution
8%
