Faranak Shamsafar

Background

Since February 2019
Postdoctoral Fellow

2013 - 2018
PhD in Electrical Engineering, Sahand University of Technology, Iran

2010 - 2012
MSc in Electrical Engineering, University of Tabriz, Iran

2005 - 2010
BSc in Electrical Engineering, University of Tabriz, Iran

Research Interests

  • Computer Vision
  • Deep Learning

Current Projects

  • Deep Stereo Vision
  • iBinPick

Teaching

Theses

Holistic, Part-Based Human Pose Estimation Using Convolutional Neural Networks
PhD thesis, Sahand University of Technology

Multispectral and Color Analysis of Iris Recognition
Master's thesis, University of Tabriz

Separating FECG from MECG by Minimizing Error Function in Wavelet Domain
Bachelor's thesis, University of Tabriz

Publications

[1]

Faranak Shamsafar and Hossein Ebrahimnezhad, “Three-Dimensional Human Pose Estimation from a Single Image Using Non-linear Convolutional Neural Network Based on Shape Information”, Journal of Nonlinear Systems in Electrical Engineering, Volume 5, Issue 1, Pages 83-103, 2019 - Language: Persian.

Link

[2]

Faranak Shamsafar and Hossein Ebrahimnezhad, “Understanding Holistic Human Pose Using Class-Specific Convolutional Neural Network”, Multimedia Tools and Applications, Volume 77, Issue 18, Pages 23193–23225, 2018, DOI: 10.1007/s11042-018-5617-1.

Link

[3] Faranak Shamsafar and Hossein Ebrahimnezhad, “3D Human Pose Estimation From 2D Images Using Fuzzy C-means”, 2nd Int. Conf. on Pattern Recognition and Image Analysis (IPRIA2015), Rasht, Iran - Language: Persian.
[4]

Faranak Shamsafar, Hadi Seyedarabi, and Ali Aghagolzadeh, “Fusing the Information in Visible Light and Near-infrared Images for Iris Recognition”, Machine Vision and Applications, Volume 25, Issue 4, Pages 881-899, 2014, DOI: 10.1007/s00138-013-0572-3.

Link

[5]

Faranak Shamsafar, “A New Feature Extraction Technique from Dental X-ray Images for Human Identification Purposes”, 8th Iranian Conf. on Machine Vision and Image Processing (MVIP2013), Indexed in IEEE Xplore, Zanjan, Iran, DOI: 10.1109/IranianMVIP.2013.6780018.

Link

[6] Faranak Shamsafar, Hadi Seyedarabi, and Ali Aghagolzadeh, “Securing the Iris Database Using Visual Cryptography and Substitution”, 21st Iranian Conf. on Electrical Engineering (ICEE2013), Mashhad, Iran - Language: Persian.