Related Topics
Topics of interest include fundamentals and practical applications of image processing, computer vision, and deep learning. Specific topics include, but are not limited to:
Fundamentals and Theory
Image filtering, Image enhancement, Image restoration, Image transformation, Stochastic vision, Stereo vision, Scale space analysis, Hough transform, Morphological processing, Image sequence analysis, Image processing architecture, Representation, Color and illumination analysis, Vision geometry, Image coding, Error analysis.
Computer Vision and Image Analysis
Shape from-X, Active vision, Image/Scene segmentation, Object detection and tracking, Visual language and description, Deep learning for computer vision, Machine & semantic learning for computer vision, Integration of deep learning and conventional method, Performance evaluation and dataset.
Applications
Image/video search and retrieval, Video surveillance, Computer vision application to AR/VR/MR/HR, Smart factory, healthcare, Intelligent transportation system, Autonomous land vehicle, Bio- medical image analysis, Agriculture, Smart home, Logistics and Distribution, Intelligent robot.
Recognition & Learning
2D/3D object recognition, Action and behavior recognition, Adversarial learning, Face and gesture recognition, Human pose estimation, Efficient training and inference methods, Explainable AI, Representation learning, Scene analysis and understanding, Transfer, low-shot, semi- and unsupervised learning, Reinforcement learning.
Acknowledgement
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.