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.
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
Master _ Improving object instance segmentation in a cluttered scene
Faranak Shamsafar, Andreas Zell. “TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation”, arXiv:2111.12502. [arXiv|Code|Dataset]
[2]
Faranak Shamsafar, Samuel Woerz, Rafia Rahim, Andreas Zell. “MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching”, In IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, January 2022. [arXiv|Code]
[3]
Timon Höfer, Faranak Shamsafar, Nuri Benbarka, Andreas Zell. “Object Detection And Autoencoder-Based 6d Pose Estimation For Highly Cluttered Bin Picking”. In IEEE International Conference on Image Processing (ICIP), pages 704-708, Anchorage, AK, USA, September 2021. [Link|Dataset]
[4]
Rafia Rahim, Faranak Shamsafar, Andreas Zell. “Separable Convolutions for Optimizing 3D Stereo Networks”. In IEEE International Conference on Image Processing (ICIP), pages 3208-3212, Anchorage, AK, USA, September 2021. [Link]
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