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
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.shamsafar. @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.shamsafar. @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
- Master _ Sim2real transfer of depth images
More information is available on Bachelor Theses and Master Theses. If you are interested, contact me via faranak.shamsafar. @uni-tuebingen.de
Publication
[1] | 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] |
Teaching
- Seminar: Current Topics in Deep Neural Networks (Winter 2021/22)
- Supervising a Software Engeneering Practical Course: Developing an Interface for Evaluating DNN-based Depth Perception Models (Summer 2021)
- Tutorial: Artificial Intelligence (Winter 2020/2021)
- Tutorial: Introduction to Neural Networks (Summer 2020)
- Tutorial: Deep Neural Networks (Winter 2019/20)
- Seminar: Current Topics in Deep Neural Networks (Summer 2019)
Supervised Theses
2021 | Bachelor thesis | High Accuracy Depth Data for Indoor Scenarios |
2021 | Bachelor thesis | Multi-sensor Point Cloud Fusion |
2021 | Bachelor thesis | Light Deep Stereo Matching Network |
2021 | Bachelor thesis | Trinocular Stereo Vision |