6th international conference on Pattern Recognition and Image Analysis (2023) at University of Tehran

About IPRIA 2023

The 6th International conference on Pattern Recognition and Image Analysis (IPRIA) will be held at Faculty of Engineering, College of Farabi, University of Tehran, Qom, Iran by the Iranian Society of Machine Vision and Image Processing (ISMVIP) and the University of Tehran on February 14-16, 2023 (25-27 Bahman 1401). The conference is a venue for the researchers to present their latest findings and discuss their ideas in the field of Computer Vision and Image Analysis. Professionals and researchers are cordially invited to submit their novel and latest findings to this conference.

Call for Paper

Topics of interest at IPRIA 2023 include, but are not restricted to:

  • Pattern Recognition for Images, Audio, and Text
  • 3D Computer Vision
  • Action and Behavior Recognition
  • Biomedical Image Analysis
  • Biometrics
  • Compression and Watermarking
  • Computational Photography and Imaging
  • COVID-19 Signal and Image Analysis
  • Detection and Localization
  • Document Processing and Recognition
  • Human Computer Interaction
  • Image, Video, Audio, and Text Analysis
  • Image, Video, Audio, and Text Retrieval
  • Image and Vision Applications
  • Machine Learning in Image and Vision Analysis
  • Low-shot Learning
  • Deep Learning in Image and Vision
  • Deep Learning in Audio and Text
  • Adversarial Learning
  • Reinforcement Learning

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Decision on the papers

IPRIA 2023 best papers 2

IPRIA 2023 best papers

Papers Language

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Paper submission (Ext.): January 07, 2023
Acceptance notification: January 28, 2023
Camera ready due: February 4, 2023
Conference: February 14-16, 2023 (25-27 Bahman 1401)



Keynote speakers

Prof. David Rousseau
Université d'Angers, France
Topic of Talk: Challenges and opportunities for deep learning-based computer vision in plant imaging


Dr. Ali Jassim Abboud
University of Diyala, College of Engineering, Department of Computer Engineering
Topic of Talk: Recent Progresses in Detecting Deepfakes in Images and Videos


Dr. Mohsen Soryani
Iran University of Science and Technology
Topic of Talk: Weakly supervised brain tumor segmentation with label propagation and level set loss

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