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About IPRIA 2021

The International conference on Pattern Recognition and Image Analysis (IPRIA) is an excellent and premier forum comprising several scientific tracks organized by Iranian Society of Machine Vision and Image Processing (ISMVIP). The 5th IPRIA conference will be held at the Department of Electrical and Computer Engineering, University of Kashan, Kashan, Iran, April 28–29, 2021.

On behalf of the IPRIA 2021 organizing committee, it is our great pleasure to invite you to the bi-annual International conference on Pattern Recognition and Image Analysis.

Call for Paper

Topics of interest at IPRIA 2021 include, but are not restricted to:

3D Computer Vision
Activity Recognition
Biomedical Image Processing
Compression and Watermarking
RGBD processing
Image and Video Mining
Motion Analysis and Tracking
Stereo and Multi-view Geometry
Texture, Shape, and Color
Document Processing and Recognition
Machine Learning Techniques in Vision
Deep Learning in Computer Vision
Computer Vision and Image Processing Architectures
Quantum Image Processing
Other related topics

Read more ...

News

Accepted papers will be submitted to IEEE Xplore

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Keynote speaker, Dr. Mohammad Shokoohi-Yekta

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Keynote speaker, Professor Shohreh Kasaei

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Keynote speaker, Dr Gerald Schaefer

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IMPORTANT DATES

Paper submission:	December 1, 2020

Acceptance notification:	January 1,2021

Camera ready due:	February 1,2021

Conference:	April 28–29, 2021

Supporters

Keynote speakers

Professor Sergios Theodoridis

National and Kapodistrian University of Athen, GR

stheodor [at] di.uoa.gr

Topic of Talk: Bayesian Machine Learning

Dr Gerald Schaefer

Loughborough University, UK

G.Schaefer [at] lboro.ac.uk

Topic of Talk: Latest Developments in Computer Vision

Professor Shohreh Kasaei

Sharif University of Technology, IR

kasaei [at] sharif.edu

Topic of Talk: Advances in 3D Computer Vision

Dr. Mohammad Shokoohi-Yekta

Senior Data & Applied Scientist at Microsoft

and Instructor at Stanford University, CA, USA

m.shokoohi [at] gmail.com

Topic of Talk: Hottest Trends and Challenges of Deep Learning

Address

Faculty of Engineering,

University of Kashan,

Kashan, Iran.

Telephone

Tel: +98-(31)55912419,
+98-(31)55912487

Ms. Seyedipour

FAX: +98-(31)5591121

Email

ipria2021@ismvipconf.ir

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