Skip to main navigation
Skip to search
Skip to main content
Beijing Institute of Technology Home
English
中文
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
View Scopus Profile
Bo Ma
School of Computer Science and Technology
h-index
2116
Citations
17
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2004
2024
Research activity per year
Overview
Fingerprint
Network
Research output
(88)
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.
Sort by
Weight
Alphabetically
Computer Science
Appearance Model
36%
Appearance Variation
13%
Approximation (Algorithm)
14%
Art Performance
13%
Attention (Machine Learning)
21%
Candidate Object
17%
Classification Models
22%
Classifier
14%
Component Analysis
22%
Computational Cost
12%
Convolutional Network
12%
Convolutional Neural Network
42%
Covariance Matrix
27%
Data Augmentation
13%
Deep Learning
17%
Dictionary Learning
14%
Discriminant Analysis
29%
Distance Metric
16%
Experimental Result
100%
Face Recognition
25%
facial image
11%
Feature Extraction
28%
Feature Selection
11%
Feature Space
24%
High Dimensionality
14%
Instance Segmentation
14%
Learning Framework
18%
Learning Problem
14%
Local Coordinate
11%
Local Descriptor
22%
Model Retrieval
22%
Object Contour
22%
Object Detection
33%
Optimization Problem
15%
Partial Differential Equation
14%
Principal Components
22%
Random Decision Forest
14%
second order statistic
13%
Semisupervised Learning
19%
Sparse Representation
42%
Subnetwork
12%
super resolution
14%
Tracking Algorithm
68%
Tracking Method
47%
Tracking Object
71%
Transformation Parameter
11%
Unlabeled Data
11%
Video Sequences
18%
Visual Dictionary
14%
Weak Classifier
14%
Engineering
Appearance Model
7%
Classification Problem
5%
Computervision
11%
Convolutional Neural Network
7%
Deep Neural Network
7%
Dimensionality
7%
Distance Metric Learning
7%
Environmental Noise
7%
Experimental Result
35%
Feature Extraction
16%
Feature Space
6%
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
11%
Learning System
7%
Level Set
7%
Limitations
7%
Local Descriptor
7%
Matching Network
7%
Model Parameter
7%
Model Uncertainty
7%
Motion Blur
7%
Multiple Cluster
11%
Multistage
7%
Natural Scene
7%
Network Boundary
7%
Object Recognition
7%
Observation Model
14%
Partial Occlusion
7%
Recognition Model
9%
Regularization
7%
Similarities
18%
Single Image
7%
Sparse Coding
22%
State-of-the-Art Method
13%
Stereo Matching
7%
Subnetwork
7%
Subspace Method
7%
Target Recognition
7%
Tasks
12%
Tensor
12%
Tracking Algorithm
6%
