Artificial Intelligence: Deep Learning and Computer Vision

Dear Colleagues,

Currently, we are witnessing how computer vision applications, powered by advancements in deep learning, are becoming a reality previously imagined in science fiction novels and films. Moreover, since 2015, computers have been outperforming human experts in complex vision tasks. The methods allowing these achievements are mainly powerful artificial intelligence models based on deep neural networks.

This Special Issue will present recent applications of artificial intelligence for computer vision. Special attention is devoted to deep learning methods using convolutional and transformer-based architectures.

The Special Issue is an opportunity for authors/researchers to present their work while discussing the novel capabilities of the DNN revolution in operational settings and the reliability and limitations of these processes.

This Special Issue will accept high-quality papers containing original research results and review articles in the following fields:

• Image or video segmentation using deep neural networks;
• Image or video classification using deep neural networks;
• Image or video restoration or reconstruction using deep neural networks;
• Image to X and image from X reconstruction using deep neural networks;
• Autonomous robot or vehicle navigation using deep neural networks for images;
• Object detection in images or video using deep neural networks;
• Three-dimensional reconstruction or depth estimation using deep neural networks;
• Generative deep learning for images;
• Image-based deep reinforcement learning;
• Computational methods for computer vision using deep neural networks;
• Optimization algorithms for computer vision using deep neural networks;
• Intelligent systems for computer vision using deep neural networks.

Prof. Dr. Juan Manuel Rendón-Mancha
Prof. Dr. Edgar Roman-Rangel
Dr. Stéphane Marchand-Maillet
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• deep learning
• computer vision
• image classification
• image segmentation
• image restoration
• robot or vehicle autonomous navigation
• image-based deep reinforcement learning
• generative deep models
• computational methods for computer vision
• intelligent systems
• optimization algorithms for computer vision