2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020)

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  • TypeConference
  • Image
  • Location Bangkok, Thailand,Bangkok,Thailand
  • Price
  • Date 09-12-2020 - 11-12-2020
Conference Title
2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020)
Event Type
Conference
Conference Date
09-12-2020 to 11-12-2020
Last Date for Applying
10-11-2020
Location
Bangkok, Thailand,Bangkok,Thailand
Organization Name / Organize By
IASED
Organizing/Related Departments
IASED
Organization Type
Academy
ConferenceCategory
Technical
ConferenceLevel
International
Related Industries

Engineering

Computer Science

Computer/Technology

Location
Bangkok, Thailand,Bangkok,Thailand

Due to health concerns and associated travel restrictions being put in place in view of the COVID-19 coronavirus, The organizing committee of CCVPR 2020 has made to decision to change CCVPR 2020 to an online conference during same dates on December 9-11, 2020. The conference was originally scheduled to be held at Bangkok, Thailand. Please contact ccvpr@iased.org for online presentation registration and fees.

 

●2020 3rd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2020)-- Ei Compendex & Scopus—Call for papers 

|Conference Date:December 9-11, 2020|Website: http://www.ccvpr.org/

 

●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.

 

●Publication and Indexing

All accepted papers will be published in the digital conference proceedings which will be send 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

●Keynote Speakers

Prof. Ian Robert McAndrew, Capitol Technology University, Maryland, USA

Prof. Cristina Botella, Clinical Psychology, Universitat Jaume I, Instituto Salud Carlos III, Spain

Prof. ZHANG, Dapeng David, Hong Kong Polytech University, China

 

●Call for papers (For more information, please click the official website: http://www.ccvpr.org/to)

The topics of interest include, but are not limited to:

IMAGE PROCESSING

Medical Image Processing and  Analysis

3D Imaging

Novel Document Image Understanding Techniques

Enhancement Techniques

Novel Vision Application and Case Studies

Image Compression, Coding, and Encryption

Object Recognition

Image Data Structures and Databases

Sensors and Early Vision

Image Generation, Acquisition, and Processing

Soft Computing Methods in Image Processing and Vision

Image Geometry and Multi-view Geometry

Special-purpose Machine Architectures for Vision

Image Restoration

Stereo Vision

Image-based Modeling and Algorithms

Mathematical Morphology

PATTERN RECOGNITION:

Motion and Tracking Algorithms and Applications

Security

Multi-resolution Imaging Techniques

Medicine

Multimedia Systems and Applications

Robotic

Novel Image Processing Applications

Geographic Information System

Novel Noise Reduction Algorithms

Remote Sensing

Performance Analysis and Evaluation

Industrial Inspection

Segmentation Techniques

Nondestructive Evaluation

 

●Paper Submission

1. PDF version submit via CMT: https://cmt3.research.microsoft.com/CCVPR2020

2. Submit Via email directly to: ccvpr@iased.org

 

●CONTACT US

Ms. Jane X. Q. Keung

Email: ccvpr@iased.org

Website: http://www.ccvpr.org/

 

Others Details

●CONTACT US Ms. Jane X. Q. Keung Email: [email protected] Website: http://www.ccvpr.org/

Registration Fees
Available
Registration Fees Details
http://www.ccvpr.org/reg.html
Registration Ways
Website
Address/Venue
  Bangkok, Thailand 
Official Email ID
Contact
Ms. Jane X. Q. Keung

[email protected]

     85230696823