Applied Computer Vision and Deep Learning

Dear Colleagues,

This Special Issue is dedicated to cutting-edge applications emerging from the fusion of Computer Vision (CV) and Deep Learning (DL). We particularly encourage submissions that demonstrate a powerful synergy between CV and DL to solve complex, real-world problems. The core goal of this issue is to showcase innovations in intelligent perception systems that enable machines to robustly understand and interact with their environments.

We welcome high-quality original research papers on topics including, but not limited to, localization, reconstruction, depth estimation, semantic segmentation, object detection, tracking, recognition, and other vision tasks. Application areas of interest include autonomous driving, robotics, augmented reality, biometrics, and smart manufacturing. We especially value contributions that validate advanced algorithms with real-world data and demonstrate tangible performance gains. This issue aims to provide a platform on which researchers and engineers may exchange forward-thinking, data-driven solutions for building the next generation of autonomous systems.

Dr. Shangshu Yu
Prof. Dr. Peter Peer
Dr. Tsung-Jung Liu
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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 2400 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.