7 citations · 12 across the 5 of their papers we have counts for
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cs.CV2019
Learned Collaborative Stereo Refinement
Patrick Knöbelreiter, Thomas Pock
In this work, we propose a learning-based method to denoise and refine disparity maps of a given stereo method. The proposed variational network arises naturally from unrolling the…
cs.CV2019
Self-Supervised Learning for Stereo Reconstruction on Aerial Images
Patrick Knöbelreiter, Christoph Vogel, Thomas Pock
Recent developments established deep learning as an inevitable tool to boost the performance of dense matching and stereo estimation. On the downside, learning these networks requi…