IW-FCV2021: The 27th International Workshop on Frontiers of Computer Vision Daegu, South Korea, February 20-22, 2021 |
Conference website | http://vr.knu.ac.kr/IWFCV2021 |
Submission link | https://easychair.org/conferences/?conf=iwfcv2021 |
Submission deadline | January 17, 2021 |
The International Workshop on Frontiers of Computer Vision (IW-FCV) is the exciting chance and place for inter-communication and discussion through many presentations of the advanced researches from the worldwide research communities of computer vision theory, applications, deep learning and big data. IW-FCV 2021 was originally going to be held in Daegu, South Korea. However, the COVID-19 pandemic has imposed unprecedented changes in our personal and professional lives. As you are aware, we have decided to transform the face-to-face version of IW-FCV 2021 into an online event. We remain committed to the IW-FCV series in 2021 and for this reason, we are committed to offer a fully online conference experience. This will be available on the IW-FCV 2021 online platform starting from the regular conference dates, 21-23 February 2021. We are fully aware that our face-to-face meeting is and will remain the ideal format to share knowledge and research however, in light of the pandemic, we see the online conference as the best alternative to keep the spirit of our global community alive. We are extremely grateful to our organizing committee who have been so supportive in the decision to proceed with the conference online and we know attendees will value the opportunity to engage and network in the online format.
Related Topics
Topics of interest include all aspects of image processing, computer vision, deep learning, fundamentals and applications including, but not limited to, the following areas:
Fundamentals and Theory: Image filtering, Enhancement, Restoration, Transformation, Stochastic vision, Stereo vision, Scale space analysis, Hough transform, Morphological processing, Image sequence analysis, Image processing architecture, Representation, Color and illumination analysis, Vision geometry, Coding, Error Analysis.
Computer Vision and Image Analysis: Shape from-X, Active vision, Image/Scene segmentation, Object detection and tracking, Visual language and description, Deep Learning-based Vision, Machine & semantic learning for computer vision, Integration of deep learning and conventional method, Performance evaluation and dataset.
Applications: Image/Video search and retrieval, Video surveillance, AR/VR/MR/HR, Smart factory, Smart healthcare, Intelligent transportation system, Bio-medical image analysis, Smart agriculture, Smart home, Logistics and distribution, Autonomous land vehicle, Intelligent robot.
Workshop Sessions
IW-FCV2021 has prepared various sessions to exchange and share research results with various participants. For more information, please refer to IW-FCV2021 website
http://vr.knu.ac.kr/IWFCV2021
a) Oral session: full (12-15 pages) / short (1-8 pages) papers
b) Poster session: full (12-15 pages) / short (1-8 pages) papers
c) Extended Summary Session (for the introduction of on-going projects): short (1-8 pages) papers
Post Workshop Proceedings
The workshop proceedings will be available only for the workshop attendants. The post-workshop proceedings including high quality papers presented at the workshop are published as a Springer CCIS series. For detail of the post-workshop proceedings, please refer the workshop website
Paper Submission Instruction
A complete paper should be submitted using the template which follows Springer Computer conference format. Detailed instructions for authors are available on the workshop website
AWARDS
IW-FCV2021 will present the following awards to the authors of selected outstanding papers as follows:
• Best paper award
• Best student paper award
• Best poster presentation award
Important Dates
Paper Submission Deadline: Dec. 11, 2020 Jan. 17, 2021
• Notification of Acceptance: Jan. 10, 2021 Feb. 3, 2021
• Camera-ready Submission Deadline: Jan.19, 2021 Feb. 10, 2021
• Early Online Registration Deadline: Feb. 2, 2021 Feb. 5, 2021