AI/Machine Learning in Computer Vision/Image Processing and Natural Language Processing

Dear Colleagues,

With the rapid pace of innovations and discoveries of generic and robust artificial intelligence/machine learning algorithms and methods, it is challenging to keep track of recent developments in various domains such as computer vision (CV) and natural language processing (NLP). Additionally, exploration of these algorithms is pivotal in investigating their robustness in various domains, such as healthcare, agriculture, remote sensing, marine diversity exploration, signal processing, vital signs monitoring, etc., which also deserve considerable attention. Therefore, with an effort to serve as a one-stop-shop for the AI community dedicated to developing robust AI/ML methods and algorithms in the domains of CV and NLP and applying these methods and algorithms for solving real-time problems of diverse domains, this Special Issue aims to provide a compilation of upcoming significant research developments in the field of AI and machine learning, covering the high- (pattern recognition and sophisticated reasoning) and low-level tasks (feature creation and extraction) encompassing both domains.

This Special Issue aims to cover all aspects of AI and ML and is not limited to the following topics:

• Image captioning, object detection and recognition, and scene understanding;
• Text summarization, machine translation, and sentiment analysis;
• Large language/vision models and foundation models in the context of CV/NLP;
• Causal and/or explainable artificial intelligence in the context of CV/NLP;
• Edge detection and image or video denoising and deblurring;
• Generative modelling and its applications in the context of CV/NLP;
• Reinforcement learning and its applications in the context of CV/NLP;
• Computer vision-based remote health monitoring, such as remote photoplethysmography or vital signs monitoring;
• AI and machine learning methods for biomedical imaging;
• NLP in healthcare.

We look forward to your contributions to this Special Issue.

Regards,

Dr. Ankit Gupta
Dr. Morgado Dias
Dr. Antonio G. Ravelo-Garcia
Dr. Martin Černý
Guest Editors

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• computer vision
• reinforcement learning
• explainable AI
• natural language processing
• multimodal AI