The 4th International conference on Pattern Recognition and Image Analysis (IPRIA)

About IPRIA 2019


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 4th IPRIA conference will be held at the Department of Computer Engineering, Sharif University of Technology, Tehran, Iran, March 6 – 7, 2019.
On behalf of the IPRIA 2019 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 2019 include, but are not restricted to:

  • Action Recognition
  • Classification and Clustering
  • Cognitive and Biologically Inspired Analysis
  • Data Mining for Pattern Recognition, Image Analysis, and Computer Vision (PRIACV)
  • Dimensionality Reduction in PRIACV
  • Document Analysis
  • Event Recognition
  • Feature Extraction
  • Graphical Models for PRIACV
  • Industrial, Medical, Social, and Military Applications of PRIACV
  • Machine Learning (Deep Learning) for PRIACV
  • Pattern Recognition for Big Data
  • Pattern Recognition in Bioinformatics and Biological Computations
  • Scene Analysis and Understanding
  • Self-Driving Cars
  • 2D/3D Object Detection, Recognition, Segmentation, and Retrieval
  • 3D Analysis from Multi-view and Single-view

Read more ...

News

Decision on the papers announced

Review results on 15 Feb

IPRIA on IEEE Iran Section website

Best Papers

All News

Highlights

Call for Competition

Call for Workshop: Applied Deep Learning For Computer Vision

Call for Best Thesis Award

All Highlights

IMPORTANT DATES

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Paper submission: January 14, 2019

Call for Best Thesis Award:
February 19, 2019

Call for Competition:
February 9, 2019

Acceptance notification: February 10, 2019

Camera ready due: February 20, 2019

Conference: March 6-7, 2019




Supporters

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Keynote speakers




Professor Babak Nadjar Araabi, University of Tehran, Iran



Professor Ali Ghodsi, University of Waterloo, Canada
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