Call for Papers

Aim and Scope

IVPAI2020 welcomes author submission of papers concerning any branch of the Image Processing and Artificial Intelligence, and their applications in other subjects.
The conference publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing methods for these purposes. Submission will be rigorously reviewed, and should clearly make the case for a documented improvement over the existing state-of-the-arts.
It is planned to publish the proceedings with SPIE (final approval pending), and some outstanding papers will be selected to the special issues on the prominent international journals (SCI indexed).

Download the CFP

Topics (include but are not limited to)

Track 1
Image, Speech, Signal and Video Processing
Track 2
Pattern Recognition and Machine Learning
Signal, image and video processing Statistical and structural pattern recognition
Image and video analysis and understanding Machine learning and data mining
Audio and acoustic processing and analysis Artificial neural networks
Segmentation, features and descriptors Dimensionality reduction and manifold learning
Texture and color analysis Classification and clustering
Automatic speech and speaker recognition Symbolic learning
Multimedia analysis, indexing and retrieval Active and ensemble learning
Vision sensors Deep learning
Medical image and signal analysis Machine learning
Computer-aided detection and diagnosis Support vector machine
Image guidance and robot guidance of interventions Neural networks
Face recognition Bayesian learning
Image compression, coding, and encryption Transfer learning
Graph theory in image processing Reinforcement learning and temporal models
Natural language processing Semi-supervised learning and spectral methods
Track 3
Computer Vision
Track 4
Data Science and Artificial Intelligence Application
Vision sensors Knowledge Engineering
Biologically motivated vision Computational intelligence
Illumination and reflectance modeling Intelligent agent
Image based modeling Intelligent control 
Physics-based vision Knowledge management 
Perceptual organization Artificial Immune System
Computational photography Big data Data mining
3D shape recovery Distributed and parallel learning
2D/3D object detection and recognition Human Computer Interaction
Cognitive and embodied vision Fuzzy Systems and Control
Occlusion and shadow detection Intelligent Systems
Vision for graphics Soft Computing
Scene understanding  Graphics algorithms