Key Dates

Abstract Submission before   

Oct 20, 2020

Full Submission before 

Nov 15, 2020

Author Notification before

Nov 30, 2020

Final Version before

Dec 8, 2020

Registration before 

Dec 8, 2020

Main Conference: 

9-11 December 2020



Publication

All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef,  Thomson Reuters (WoS), etc. 

A selection of papers will be chosen to be published in journal---International Journal of Computer Graphics & Animation (IJCGA)


Join us

We sincerely welcome professors, researchers and other experts in the areas of Computer Vision and Pattern Recognition to join the conference as a Reviewer or Speaker. We sincerely welcome you to send email to ccvpr@iased.org for further information. Your request will be processed in 5 working days. Sincerely welcome you to join us.

News


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The CCVPR 2020 will be postponed to Dec. 9-11 and venue will be changed to 

Bangkok, Thailand due to the coronavirus outbreak.

1578972151268122.png CCVPR 2020 will be held in Saint Petersburg, Russia on September 21-23, 2020.
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 Congratulations!Ilya Vasiliev(from Moscow Institute of Physics and Technology, 

 Machine Intelligence Laboratory) won the best paper in the CCVPR 2019.

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Call for Paper

The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome, such as:

3D Imaging

Image Data Structures and Databases

Geographic Information System

Biometric Authentication

Multi-resolution Imaging Techniques

Segmentation Techniques

Camera Networks and Vision

Symbolic Learning

Parsing Algorithms

Statistical Pattern Recognition

Industrial Inspection

Sensors and Early Vision

More...


Welcome to CCVPR 2020

2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020) will be held in Bangkok, Thailand on December 9-11, 2020.

CCVPR 2020 welcomes researchers, engineers, scientists, and industry professionals to an open forum where advances in the field of Computer Vision and Pattern Recognition can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations. 

CCVPR 2018 has been successfully held in Wellington, New Zealand on Dec. 13-15, 2018.

CCVPR 2019 has been successfully held in Prague, the Czech Republic on Nov. 22-24, 2019.

Committee



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Prof. Jun-Dong Cho

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Dr. Pavlos Kefalas    

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Dr. Piotr Kulczycki

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Dr. Mohd Sazili Shahibi   

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Dr. Low Yeh Ching

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Dr.Min-Shiang Hwang

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Dr. Muhammad Usman Akram

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Prof.Lalit Mohan Patnaik  

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Prof.Álvaro Rocha   

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Prof.Xue-Cheng Tai  

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Dr. Javad Alirezaie  

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Dr.Thumrongrat Amornraksa    

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Prof.Sriman Narayana Iyengar   

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Dr.Mohamed Bahaj

Submission


Prospective authors are welcomed to submit your research paper(full paper or abstract) to ccvpr@iased.org or CCVPR 2020 through the Online Submission SystemIf you are a new user, you need to sign up firstly. Please refers to the detailed guideline for online submission system.


The manuscript should be written in English including tables, figures, equations, and algorithms. Only original papers will be considered. the manuscripts must not be previously published or accepted for publication elsewhere. must not be under review by any other conference or publication during the review cycle. Please download the templates: Paper Template and Abstract Template.

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Previous speakers

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Prof. EDUARDO NEBOT

The University of Sydney 


Autonomous System in industrial application and Urban environments    

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Prof. Robert Babuska

Delft University of Technology, the Netherlands



Reinforcement learning in robot control

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Prof Ruili Wan

Massey University, New Zealand


Deep learning and Polyphonic sound event detection

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Dr. Tomas Krajnik 

Czech Technical University in Prague, Czech Republic



Chronorobotics: Representing the structure of time for service robots