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Bo Ma
School of Computer Science and Technology
h-index
2404
Citations
17
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2004
2025
Research activity per year
Overview
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Network
Research output
(91)
Similar Profiles
(2)
Fingerprint
Dive into the research topics where Bo Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Computer Science
Appearance Model
35%
Appearance Variation
13%
Approximation (Algorithm)
14%
Art Performance
12%
Attention (Machine Learning)
23%
Candidate Object
16%
Classification Models
21%
Classifier
14%
Component Analysis
21%
Computational Cost
11%
Contextual Information
11%
Convolutional Network
12%
Convolutional Neural Network
40%
Covariance Matrix
25%
Data Augmentation
12%
Deep Learning
16%
Dictionary Learning
14%
Discriminant Analysis
28%
Distance Metric
15%
Experimental Result
100%
Face Recognition
24%
facial image
10%
Feature Extraction
27%
Feature Space
23%
High Dimensionality
14%
Instance Segmentation
14%
Learning Framework
17%
Learning Problem
14%
Local Coordinate
10%
Local Descriptor
21%
Model Retrieval
21%
Object Contour
21%
Object Detection
38%
Optimization Problem
14%
Partial Differential Equation
14%
Principal Components
21%
Random Decision Forest
14%
second order statistic
12%
Semisupervised Learning
18%
Sparse Representation
40%
Subnetwork
11%
super resolution
21%
Tracking Algorithm
66%
Tracking Method
45%
Tracking Object
68%
Transformation Parameter
10%
Unlabeled Data
10%
Video Sequences
17%
Visual Dictionary
14%
Weak Classifier
14%
Engineering
Appearance Model
7%
Classification Problem
5%
Computervision
10%
Convolutional Neural Network
7%
Deep Neural Network
7%
Dimensionality
7%
Distance Metric Learning
7%
Environmental Noise
7%
Experimental Result
35%
Feature Extraction
15%
Feature Space
5%
Field Image
7%
Gaussian Mixture Model
9%
Gaussians
7%
Genetic Algorithm
7%
Global Structure
7%
Hazards
7%
Human Motion
7%
Image Analysis
7%
Image Understanding
7%
Kalman Filter
10%
Learning System
7%
Level Set
7%
Light Field
7%
Limitations
7%
Local Descriptor
7%
Matching Network
7%
Model Parameter
7%
Model Uncertainty
7%
Motion Blur
7%
Multiple Cluster
10%
Multistage
7%
Natural Scene
7%
Network Boundary
7%
Object Recognition
7%
Observation Model
14%
Partial Occlusion
7%
Recognition Model
8%
Regularization
7%
Similarities
17%
Single Image
7%
Sparse Coding
21%
State-of-the-Art Method
12%
Stereo Matching
7%
Subnetwork
7%
Subspace Method
7%
Target Recognition
7%
Tasks
12%
Tensor
11%
Tracking Algorithm
6%
