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IPRIA 2021 : IPRIA2021 - 5th International conference on Pattern Recognition and Image Analysis ( online conference )


When Apr 28, 2021 - Apr 29, 2021
Where online (Kashan, Iran)
Submission Deadline Jan 1, 2021
Notification Due Feb 1, 2021
Final Version Due Mar 1, 2021
Categories    online conference   pattern recognition   computer vision & image proces   machine learning & deep learni

Call For Papers

IPRIA 2021
5th International Conference on Pattern Recognition and Image Analysis ( online conference )
When Apr 28, 2021 - Apr 29, 2021
Where online conference(Kashan, Iran)

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 online at the Department of Electrical and Computer Engineering, University of Kashan, Kashan, Iran, April 28 - 29, 2021.
( online conference )


Publication and Indexing

Accepted papers will be published in the conference electronic proceedings (requested archival in IEEE Xplore for English papers and CIVILICA for Farsi papers) conditional upon advance registration of the paper by at least one of the authors.
Acceptance will be based on a rigorous peer review process.
Extended version of selected papers will be recommended to be published in supporting or other journals


Important Dates :

Submission Deadline Jan 01, 2021
Notification Due Feb 01, 2021
Final Version Due Mar 01, 2021


Keynote Speakers:

• Prof. Sergios Theodoridis, National and Kapodistrian University of Athen, GR
• Prof. Shohreh Kasaei, Sharif University of Technology, IR
• Dr Gerald Schaefer, Loughborough University, UK
• Dr. Mohammad Shokoohi-Yekta, Senior Data & Applied Scientist at Microsoft, and Instructor at Stanford University, CA


Paper Submission

Submit Via


Call for Paper

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.

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

3D Computer Vision
3D Imaging
Active and Robot Vision
Activity Recognition
Bayesian Methods in Pattern Recognition and Matching
Biomedical Image Processing
Biometric Authentication
Camera Networks and Vision
Case studies and Emerging technologies
Clustering Techniques in Image Processing
Cognitive and Biologically Inspired Vision
Compression and Watermarking
Computer Vision and Image Processing Architectures
Deep Learning in Image Processing and Computer Vision
Dimensionality Reduction Methods in Pattern Recognition
Document Processing and Recognition
Enhancement Techniques
Ensemble Learning Algorithms
Face and Gesture Recognition
Fuzzy and Neural Techniques in Computer Vision
Geographic Information System
Image and Video Analysis
Image and Video Mining
Image Compression, Coding, and Encryption
Image Data Structures and Databases
Image Feature Extraction
Image Generation, Acquisition, and Processing
Image Geometry and Multi-view Geometry
Image Restoration
Image-based Modeling and Algorithms
Industrial Inspection
Invariance in Pattern Recognition
Knowledge-based Recognition
Machine Learning Techniques in Vision
Machine Learning Technologies for Computer Vision
Mathematical Morphology
Medical Image Processing and Analysis
Motion Analysis and Tracking
Motion and Tracking Algorithms and Applications
Multimedia Systems and Applications
Multi-resolution Imaging Techniques
Nondestructive Evaluation
Novel Computer Vision Application and Case Studies
Novel Document Image Understanding Techniques
Novel Image Processing Applications
Novel Noise Reduction Algorithms
Object Recognition
Pattern Recognition in Data Science and Engineering
Parsing Algorithms
Performance Analysis and Evaluation
Quantum Image Processing
Remote Sensing
RGBD processing
Segmentation Techniques
Sensors and Early Vision
Soft Computing Methods in Image Processing and Computer Vision
Software Tools for Imaging
Special-purpose Machine Architectures for Computer Vision
Statistical Pattern Recognition
Stereo and Multi-view Geometry
Stereo Vision
Structural and Syntactic Pattern Recognition
Supervised and Un-supervised Classification Algorithms
Symbolic Learning
Texture, Shape, and Color
Video Analysis
Watermarking Methods and Protection + Wavelet Methods
Other related topics

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