Vision Generation and Recognition in Complex Environments
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 128
Special Issue Editors
Interests: computer vision; face recognition; drone target recognition; person re-identification
Interests: computer vision; person re-identification; object recognition; image retrieval
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the application of vision generation and recognition techniques in numerous research domains—both hot topics in computer vision. In particular, it is devoted to vision generation studies involving concepts such as diffusion models and GANs. We are interested in technique promotions in recognition tasks including face recognition, person re-identification, object detection, and recognition. We are also interested in discussions of vision generation and recognition methodologies in complex environments employing multi-source and heterogeneous sensing systems. Large-scale pre-trained models will address challenging vision tasks. Both theoretical and experimental studies are welcome, as are comprehensive review and survey papers.
Dr. Zhanxiang Feng
Dr. Quan Zhang
Dr. Lingxiao Yang
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.
Keywords
- computer vision
- image generation
- feature extraction
- pattern recognition
- deep learning
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
