Connectionists: Frontiers in Computer Vision - Call for contributions and Research Topics proposals

Marcello Pelillo marcello.pelillo at gmail.com
Sat Oct 15 06:41:10 EDT 2022


Dear colleagues,

the *Computer Vision* section of *Frontiers in Computer Science* welcomes
original contributions in all relevant areas of computer vision, from both
academia and industry:


https://www.frontiersin.org/journals/computer-science/sections/computer-vision

Among the distinguishing features of Frontiers' open-access journals are
fast publication time and an innovative collaborative peer-review process
(see here
<https://www.frontiersin.org/about/review-system?utm_source=fweb&utm_medium=fmain&utm_campaign=ba-cco-hpfea-review>
for
details).

We also particularly welcome Research Topics proposals on cutting-edge
themes:

     https://www.frontiersin.org/about/research-topics

Here's a list of the most recent ones:

   - Perceptual Organization in Computer and Biological Vision
   <https://www.frontiersin.org/research-topics/36776/perceptual-organization-in-computer-and-biological-vision>
   - Body Talks: Advances in Passive Visual Automated Body Analysis for
   Biomedical Purposes
   <https://www.frontiersin.org/research-topics/46789/body-talks-advances-in-passive-visual-automated-body-analysis-for-biomedical-purposes>
   - Optimization Methods and Machine Learning Techniques in Image Sciences
   <https://www.frontiersin.org/research-topics/41756/optimization-methods-and-machine-learning-techniques-in-image-sciences>
   - Trustworthy Visual Intelligence: From Theory to Practice
   <https://www.frontiersin.org/research-topics/41202/trustworthy-visual-intelligence-from-theory-to-practice>
   - Learning Deep Visual Understanding Models with Limited Annotations
   <https://www.frontiersin.org/research-topics/40828/learning-deep-visual-understanding-models-with-limited-annotations>
   - Advances in Long-Tail Learning
   <https://www.frontiersin.org/research-topics/35813/advances-in-long-tail-learning>
   - Making Visual SLAM Useful for Real-World Applications
   <https://www.frontiersin.org/research-topics/35632/making-visual-slam-useful-for-real-world-applications>
   - Novel Methods for Human Face and Body Perception and Generation
   <https://www.frontiersin.org/research-topics/32305/novel-methods-for-human-face-and-body-perception-and-generation>
   - Segmentation and Classification: Theories, Algorithms, and Applications
   <https://www.frontiersin.org/research-topics/31911/segmentation-and-classification-theories-algorithms-and-applications>
   - Deep Learning with Few Labeled Training Data in Computer Vision and
   Image Analysis
   <https://www.frontiersin.org/research-topics/31801/deep-learning-with-few-labeled-training-data-in-computer-vision-and-image-analysis>


If you have any questions about the journal, feel free to contact me or the
editorial office.

Best regards
-mp

--
Marcello Pelillo, *FIEEE, FIAPR, FAAIA*
Professor of Computer Science
Ca' Foscari University of Venice, Italy
IEEE SMC Distinguished Lecturer
Specialty Chief Editor,
*Computer Vision - Frontiers in Computer Science*
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