Faranak Shamsafar

I am a postdoctoral researcher at the chair of Cognitive Systems at the Eberhard Karls University of Tübingen, working with Prof. Dr. Andreas Zell. My research interest lies in the span of computer vision and deep learning. Currently, I am working on depth perception using stereo camera setup and object detection for a bin picking scenario.

Current Projects

  • DeepStereoVision: Funded by BMBF
  • iBinPick: Funded by BMWi
  • Tri-camera Depth Estimation: Funded by Program for the Promotion of Junior Researchers at the University of Tübingen

Open Student Research Assistant Positions

  • There are two open Hiwi / student research assistant positions, which include research work to develop a depth perception paradigm in a tri-camera setup. We are looking for a motivated student who has a background in Computer Vision and good experience in Python programming. The candidate should be pursuing a Bachelor / Master of Science degree in a subject related to computer science at the University of Tübingen. The position can also lead to an opportunity for doing a bachelor / master thesis at the Cognitive Systems chair. If you are interested, write an email to me at faranak.shamsafarspam prevention@uni-tuebingen.de.
  • There is an open Hiwi / student research assistant position in our chair. This job includes research work as part of a 3rd party sponsored research project, which aims to develop a deep learning-based method for stereo vision and makes the network transferable to a non-GPU device with limited memory. We are looking for a motivated student who has a background in Deep Learning or Computer Vision and good experience in PyTorch or TensorFlow programming. The candidate should be pursuing a Bachelor / Master of Science degree in a subject related to computer science at the University of Tübingen. The position can also lead to an opportunity for doing a bachelor / master thesis at the Cognitive Systems chair. If you are interested, write an email to me at faranak.shamsafarspam prevention@uni-tuebingen.de.

Open Topics for Bachelor/Master Theses

There are some open topics for bachelor/master thesis in the chair:

  • Bachelor _ Fusion of point clouds obtained from two depth sensors
  • Bachelor _ Investigating depth perception with three cameras
  • Master _ Improving object instance segmentation in a cluttered scene
  • Master _ Sim2real transfer of depth images

More information is available on Bachelor Theses and Master Theses. If you are interested, contact me via faranak.shamsafarspam prevention@uni-tuebingen.de.

Teaching

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.