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Deep Learning Technology and Image Sensing: Volume II

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 28 November 2024 | Viewed by 49

Special Issue Editors


E-Mail Website
Guest Editor
Division of Computer Engineering, Dongseo University, 47 Jurye Road, Sasang Gu, Busan 47011, Republic of Korea
Interests: image deconvolution/restoration; color image compression; computer vision; deep learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Machine Learning/Deep Learning Research Labs, Department of Computer Engineering, Dongseo University, Busan 47011, Republic of Korea
Interests: automated machine learning; adversarial machine learning; multi-agent reinforcement learning; few shot learning; generative adversarial network
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Deep learning-based computing technology is significantly improving the quality and reliability of image recognition data today. For example, in the field of autonomous driving, the performance of sensor themselves is also increasing through deep learning based on sensor and data fusion between front camera sensors and radars. Other deep learning-based computer vision technologies help to improve the performance of smartphone camera applications such as face recognition, panorama photography, depth/geometry detection, and high-quality magnification and detection. Still, other computer vision technologies have come to accurately recognize human behavior and posture. This allows for the use of human behavior as a tool for human–computer interfaces (HCI) in applications such as the Metaverse. This Special Issue covers all topics related to applications using deep learning-based image and video sensing technologies. 

Topics include, but are not limited to, the following:

  • Deep learning-based image sensing techniques;
  • Deep learning-based video sensing techniques;
  • Deep learning-based computer vision algorithms;
  • Deep learning-based signal processing techniques;
  • Deep learning-based computational photography.

Prof. Dr. Sukho Lee
Prof. Dr. Dae-Ki Kang
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. Sensors 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.

Keywords

  • deep learning
  • image sensing
  • video sensing
  • image sensor
  • video sensor
  • computer vision

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Published Papers

This special issue is now open for submission.
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