1 citations · 1 across the 4 of their papers we have counts for
5 papers
Edge-aware Consistent Stereo Video Depth Estimation
Elena Kosheleva, Sunil Jaiswal, Faranak Shamsafar +3
Video depth estimation is crucial in various applications, such as scene reconstruction and augmented reality. In contrast to the naive method of estimating depths from images, a m…
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
Faranak Shamsafar, Sunil Jaiswal, Benjamin Kelkel +2
Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and…
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation
Faranak Shamsafar, Andreas Zell
Stereo vision is an effective technique for depth estimation with broad applicability in autonomous urban and highway driving. While various deep learning-based approaches have bee…
Separable Convolutions for Optimizing 3D Stereo Networks
Rafia Rahim, Faranak Shamsafar, Andreas Zell
Deep learning based 3D stereo networks give superior performance compared to 2D networks and conventional stereo methods. However, this improvement in the performance comes at the…
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching
Faranak Shamsafar, Samuel Woerz, Rafia Rahim +1
Recent methods in stereo matching have continuously improved the accuracy using deep models. This gain, however, is attained with a high increase in computation cost, such that the…