Submit your research
Start your submission and get more impact for your research by publishing with us.
- Frontiers in Computer Science
- Computer Vision
Explores fundamental and applied computer science to advance our understanding of the digital era
Explores research focused on all aspects of developing vision and image analysis technology from a computational perspective.
Author guidelines
Ready to publish? Check out our author guidelines for everything you need to know about submission, from choosing a journal and section to preparing your manuscript.
Editor guidelines
Reviewing a manuscript? See our editorial guidelines for everything you need to know about Frontiers’ peer review process.
Peer review
Our efficient and rigorous peer review means you’ll get a decision on your manuscript in just 77 days.
Publishing fees
Article processing charges (APCs) apply to articles that are accepted for publication by our external editors, following rigorous peer review.
Editors
See all- MP
marcello pelillo
Ca' Foscari University of Venice
Venice, Italy
Specialty Chief Editor
Computer Vision
- XB
xiang bai
Huazhong University of Science and Technology
Wuhan, China
Associate Editor
Computer Vision
- IB
ismail ben ayed
École de technologie supérieure (ÉTS)
Montreal, Canada
Associate Editor
Computer Vision
- XB
xavier boix
Fujitsu Research of America, Inc.
Sunnyvale, United States
Associate Editor
Computer Vision
Articles
See all (109)Review
Published on 13 Jun 2025
Challenges and advancements in image-based 3D reconstruction of large-scale urban environments: a review of deep learning and classical methods
in Computer Vision
Frontiers in Computer Sciencedoi 10.3389/fcomp.2025.1467103- 441 views
Original Research
Accepted on 03 Jun 2025
Leveraging Foundation Models and Goal-Dependent Annotations for Automated Cell Confluence Assessment
in Computer Vision
Frontiers in Computer Sciencedoi 10.3389/fcomp.2025.1562358- 232 views
Original Research
Published on 01 May 2025
An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields
in Computer Vision
Frontiers in Computer Sciencedoi 10.3389/fcomp.2025.1437084- 1,070 views
Original Research
Published on 24 Apr 2025
A benchmark dataset and methodology for fine grained vehicle make and model classification
in Computer Vision
Frontiers in Computer Sciencedoi 10.3389/fcomp.2025.1561899- 969 views
Research Topics
See all (22)Submission open
Large Tensor Analysis and Applications
- Xiaohao Cai
- Gaohang Yu
- Yannan Chen
- 2,987 views
- 3 articles
Submission closed
Foundation Models for Healthcare: Innovations in Generative AI, Computer Vision, Language Models, and Multimodal Systems
- Alberto Santamaria-Pang
- Shuo Li
- Sokratis Makrogiannis
- Paul Nagy
- Vaz Zavaletta
- 17,744 views
- 8 articles
Interactive magazine
eBook
Submission closed
Geometries of Learning
- Pavan Turaga
- Yunye Gong
- P. Thomas Fletcher
- Ajay Divakaran
- 21,065 views
- 13 articles
Interactive magazine
Submission closed
Computer Vision and AI in Real-world Applications: Robustness, Generalization, and Engineering
- Pier Luigi Mazzeo
- Nicola Strisciuglio
- Alessandro Bruno
- Barbara Hammer
- Mingliang Gao
- 29,945 views
- 8 articles