Conference Information
CVDL 2024: International Conference on Computer Vision and Deep Learning
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Submission Date: |
2023-12-10 |
Notification Date: |
|
Conference Date: |
2024-01-20 |
Location: |
Changsha, China |
Viewed: 7258 Tracked: 1 Attend: 1
Call For Papers
You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to CVDL 2024 conference. Topics of interest for submission include:
Track 1: Computer Vision
Big data and computer vision
Biomedical image analysis
Image and video coding
Image and video retrieval
Remote sensing image
Computational photography
Optimization and method of study
Sensor and display
Data collection and performance analysis
Computer vision of deep learning
Document image analysis
Character identification
Analysis, behavior identity
Visual models
Video analysis
Multimodal information processing
Visual and language
Motion and tracking
3D reconstruction
Human-computer interaction
Track 2: Deep Learning
Machine Learning
Unsupervised Feature Learning
Deep Reinforcement Learning
Convolutional Neural Networks (CNN)
Deep Hierarchical Networks (DHN)
Recurrent Neural Network (RNN)
Neuro-Fuzzy Algorithms
Autoencoders
Graph Representation Learning
Clustering, Classification and Regression
Evolutionary Methods
Image Processing
Autonomic Computing
User Modeling
Information Retrieval and Reuse
Question-Answering
Language Translation
Cognitive Architectures
Recommender Systems
Track 1: Computer Vision
Big data and computer vision
Biomedical image analysis
Image and video coding
Image and video retrieval
Remote sensing image
Computational photography
Optimization and method of study
Sensor and display
Data collection and performance analysis
Computer vision of deep learning
Document image analysis
Character identification
Analysis, behavior identity
Visual models
Video analysis
Multimodal information processing
Visual and language
Motion and tracking
3D reconstruction
Human-computer interaction
Track 2: Deep Learning
Machine Learning
Unsupervised Feature Learning
Deep Reinforcement Learning
Convolutional Neural Networks (CNN)
Deep Hierarchical Networks (DHN)
Recurrent Neural Network (RNN)
Neuro-Fuzzy Algorithms
Autoencoders
Graph Representation Learning
Clustering, Classification and Regression
Evolutionary Methods
Image Processing
Autonomic Computing
User Modeling
Information Retrieval and Reuse
Question-Answering
Language Translation
Cognitive Architectures
Recommender Systems
Last updated by Dou Sun in 2023-11-11
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Related Journals
| CCF | Full Name | Impact Factor | Publisher | ISSN |
|---|---|---|---|---|
| a | International Journal of Computer Vision | 9.3 | Springer | 0920-5691 |
| Computer Assisted Language Learning | 6.6 | Taylor & Francis | 0958-8221 | |
| Computers & Industrial Engineering | 6.5 | Elsevier | 0360-8352 | |
| Journal of Computational Design and Engineering | 6.1 | Oxford | 2288-4300 | |
| Journal of Computer Assisted Learning | 4.6 | Wiley-Blackwell | 0266-4909 | |
| Computers & Chemical Engineering | 3.9 | Elsevier | 0098-1354 | |
| b | Computer Vision and Image Understanding | 3.5 | Elsevier | 1077-3142 |
| c | Computer Speech and Language | 3.4 | Elsevier | 0885-2308 |
| Journal of Computer Science Engineering | 2.5 | IJRDO | 2456-1843 | |
| c | IET Computer Vision | 1.3 | IET | 1350-245X |