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Christian Bailer

2 accepted papers

2017

CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss

CVPR 2017poster

Learning based approaches have not yet achieved their full potential in optical flow estimation, where their performance still trails heuristic approaches. In this paper, we present a CNN based patch matching approach for optical flow estimation. An important contribution of our approach is a novel…

Cited by 149PDFScholar
2015

Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation

ICCV 2015oral

Modern large displacement optical flow algorithms usually use an initialization by either sparse descriptor matching techniques or dense approximate nearest neighbor fields. While the latter have the advantage of being dense, they have the major disadvantage of being very outlier prone as they are n…

Cited by 325PDFScholar