Welcome to CCVPR 2022

2022 5th International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2022 Online) will be held online in Guangzhou, China on December 9-11, 2022.


CCVPR 2022 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.

CCVPR 2020 has been been held virtually via WebEx Meeting during December 9-11, 2020.

CCVPR 2021 has been been held virtually via WebEx Meeting during December 18-20, 2021.

Key Dates

Full Submission before 

November 20, 2022

Main Conference: 

December 9-11  2022


December 9, 2022: Registration + Conference Materials collection

December 10, 2022: Keynote Sessions + Parallel Sessions

December 11, 2022: Parallel Sessions + Social Networking Event (TBD)

The conference schedule is subject to final arrangements.



All accepted and presented papers will be published in digital conference proceeding, which will send to be reviewed and indexed by major citation databases such as EI Compendex, Scopus, CPCI, Google Scholar etc. 

The selected papers will be considered for special issues in following Journal after significant extension.

---International Journal of Computer Graphics & Animation (IJCGA)

---Big Data Analysis Based Network

---PeerJ Computer Science "Smart Cities"

---Artificial Intelligence Empowered IoT Big Data Analytics Towards Smart Cities

The selected papers will be considered for special issues in Journal after significant extension


Reviewer Application

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 committee.member@iased.org for further information. Your request will be processed in 5 working days. Sincerely welcome you to join us.


Prospective authors are welcomed to submit your research paper(full paper or abstract) through theonline submission system or submit to ccvpr@iased.org.

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.


In recognition of their efforts in reviewing CCVPR 2020 papers, Dr. Justin Joseph(Indian Institute

of Technology) and Dr.Thumrongrat Amornraksa(King Mongkut's University of Technology Thonburi) are nominated as CCVPR 2020 Best Reviewers.

The CCVPR 2020 has been successfully held online during Dec. 9-11, 2020.

 Congratulations!Ilya Vasiliev(from Moscow Institute of Physics and Technology, 

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

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

Enhancement Techniques

Image Compression, Coding, and Encryption

Image Data Structures and Databases

Image Generation, Acquisition, and Processing

Image Geometry and Multi-view Geometry

Image Restoration

Image-based Modeling and Algorithms

Mathematical Morphology

Motion and Tracking Algorithms and Applications

Multi-resolution Imaging Techniques

Multimedia Systems and Applications

Novel Image Processing Applications

Novel Noise Reduction Algorithms

performance Analysis and Evaluation



Guangzhou, China


Supported by