IVPAI2020
The 3rd International Conference on Image, Video Processing and Artificial Intelligence 2020
Important Dates
About IVPAI2020
Academic Conference & Summit & Exhibition. IVPAI is organized by Shanghai Advanced Research Institute, Chinese Academy of Sciences. As an annually-held conference, IVPAI has achieved its success in the past 2 years. In 2019, IVPAI attracted more than 5000 applications and 1000 attendees.
Topics
Image processing, Computational and artificial intelligence, Machine learningCall for Papers
1. Introduction
The 3rd International Conference on Image, Video Processing and Artificial Intelligence (IVPAI2020) will be held during August 21-23, 2020 in Shanghai, China. IVPAI is organized by Shanghai Advanced Research Institute, Chinese Academy of Sciences. As an annually-held conference, IVPAI has achieved its success in the past 2 years. In 2019, IVPAI attracted more than 5000 applications and 1000 attendees.
IVPAI aims to provide a communication platform for top technology leaders, scholars, engineers, scientists, leading industry leaders as well as graduate students to share ideas and discuss the latest technology in artificial intelligence and related fields. The conference offers keynote speeches, invited speeches, oral presentation sessions, poster sessions, exhibitions and other forms of communication and information exchange. Authors are invited to submit original and not published papers describing new technologies and trends about the topics.
2. Proceeding
The conference proceedings will be published in SPIE.
Indexing: Web of Science, CPCI-S, Scopus, Ei-Compendex, and others.
3. Topics
IVPAI welcomes author submission of papers concerning any branch of the imaging processing and artificial intelligence, and their applications other subjects.
Image, Speech, Signal and Video Processing
Segmentation, features and descriptors
Texture and color analysis
Multimedia analysis, indexing and retrieval
Medical image and signal analysis
Face recognition
Natural language processing
Pattern Recognition and Machine Learning
Statistical and structural pattern recognition
Machine learning and data mining
Artificial neural networks
Classification and clustering
Machine learning
Deep learning
Neural networks
Computer Vision
Biologically motivated vision
Computational photography
2D/3D object detection and recognition
Vision for graphics
Data Science and Artificial Intelligence Application
Knowledge Engineering
Computational intelligence
Intelligent controlÂ
Artificial Immune System
Human Computer Interaction
Fuzzy Systems and Control
Soft Computing
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