[visionlist] CFP: Asian Conference on Computer Vision (ACCV 2020)
Ryo Yonetani
yonetani at iis.u-tokyo.ac.jp
Sun Jun 14 17:33:28 -04 2020
Please Accept our Apology for Multiple Posting.
====================================================
CALL FOR PAPERS
Asian Conference on Computer Vision (ACCV 2020),
Virtual from Kyoto, Nov. 30 - Dec. 4, 2020
URL: http://accv2020.kyoto/
Email: accv2020-pcs at googlegroups.com
Important Dates:
================
Paper submission deadline: Jul. 8, 2020
Supplementary material deadline: Jul. 13, 2020
Notification of acceptance: Sep. 18, 2020
Camera-ready paper deadline: Oct. 9, 2020
Main conference: Nov. 30 - Dec. 2, 2020
Workshops:Dec. 3 - 4, 2020
ACCV is a leading biennial international conference mainly sponsored
by Asian Federation of Computer Vision. This highly successful series
provides a premier forum for researchers, developers, and
practitioners to present and discuss new problems, solutions, and
technologies in computer vision and related areas.
Due to the COVID-19 pandemic, ACCV2020 will be held as a completely
online conference on the planned dates, Nov 30th to Dec 4th, 2020. The
organizing committee is committed to taking this opportunity to make
ACCV2020 a widely visible open conference. Your contributions and
participation will be key to its success!
ACCV 2020 solicits high-quality original research in all aspects of
computer vision for publication in its main conference and co-located
Workshops. The conference proceedings will be published by Springer in
the Lecture Notes in Computer Science (LNCS) series.
Topics include (but are not limited to):
* 3D Computer Vision
* Applications of Computer Vision, Vision for X
* Attention
* Big Data, Large Scale Methods
* Biomedical Image Analysis
* Biometrics
* Computational Photography, Sensing, and Display
* Datasets and Performance Analysis
* Deep learning for computer vision
* Document image analysis
* Face, Pose, Action, and Gesture
* Illumination and Reflectance Modeling
* Low-level Vision, Image Processing
* Motion and Tracking
* Optimization Methods
* Physics-based Vision and Shape from X
* Recognition: Feature Detection, Indexing, Matching, and Shape Representation
* RGBD and Depth Image Processing
* Robot Vision
* Segmentation and Grouping
* Statistical Methods and Learning
* Video Analysis and Event Recognition
General Chairs:
Ko Nishino (Kyoto Univ.), Long Quan (HUST), Hiromi Tanaka (Ritsumeikan Univ.)
Program Chairs:
Hiroshi Ishikawa (Waseda Univ.), Cheng-Lin Liu (NLPR),
Jianbo Shi (U. Pennsylvania), Tomas Pajdla (CTU)
Local Chairs:
Shohei Nobuhara (Kyoto Univ.), Yasushi Makihara (Osaka Univ.)
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