4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 4 cited
LeanStereo: A Leaner Backbone based Stereo Network
Rafia Rahim, Samuel Woerz, Andreas Zell
Recently, end-to-end deep networks based stereo matching methods, mainly because of their performance, have gained popularity. However, this improvement in performance comes at the…
cs.CV2025★ 1 cited
Distilling Stereo Networks for Performant and Efficient Leaner Networks
Rafia Rahim, Samuel Woerz, Andreas Zell
Knowledge distillation has been quite popular in vision for tasks like classification and segmentation however not much work has been done for distilling state-of-the-art stereo ma…
cs.CV2021★ 1 cited
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…