Fusing the information in visible light and near-infrared images for iris recognition. - Faranak Shamsafar; Hadi Seyedarabi; Ali Aghagolzadeh (Mach. Vis. Appl., 2014)

Understanding holistic human pose using class-specific convolutional neural network. - Faranak Shamsafar; Hossein Ebrahimnezhad (Multim. Tools Appl., 2018)

Object Detection And Autoencoder-Based 6d Pose Estimation For Highly Cluttered Bin Picking. - Timon Höfer; Faranak Shamsafar; Nuri Benbarka; Andreas Zell (ICIP, 2021)

Separable Convolutions for Optimizing 3D Stereo Networks. - Rafia Rahim; Faranak Shamsafar; Andreas Zell (ICIP, 2021)

TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation. - Faranak Shamsafar; Andreas Zell (CoRR, 2021)

Uniting holistic and part-based attitudes for accurate and robust deep human pose estimation. - Faranak Shamsafar; Hossein Ebrahimnezhad (J. Ambient Intell. Humaniz. Comput., 2021)

MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching. - Faranak Shamsafar; Samuel Woerz; Rafia Rahim; Andreas Zell (WACV, 2022)

Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case. - Faranak Shamsafar; Sunil Prasad Jaiswal; Benjamin Kelkel; Kireeti Bodduna; Klaus Illgner-Fehns (CVPR Workshops, 2023)

Edge-Aware Consistent Stereo Video Depth Estimation. - Elena Kosheleva; Sunil Prasad Jaiswal; Faranak Shamsafar; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek (ECCV Workshops (9), 2024)