5 citations · 6 across the 4 of their papers we have counts for
5 papers
Self-Supervised Monocular Scene Flow Estimation
Junhwa Hur, Stefan Roth
Scene flow estimation has been receiving increasing attention for 3D environment perception. Monocular scene flow estimation -- obtaining 3D structure and 3D motion from two tempor…
Optical Flow Estimation in the Deep Learning Age
Junhwa Hur, Stefan Roth
Akin to many subareas of computer vision, the recent advances in deep learning have also significantly influenced the literature on optical flow. Previously, the literature had bee…
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur, Stefan Roth
Deep learning approaches to optical flow estimation have seen rapid progress over the recent years. One common trait of many networks is that they refine an initial flow estimate e…
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Simon Meister, Junhwa Hur, Stefan Roth
In the era of end-to-end deep learning, many advances in computer vision are driven by large amounts of labeled data. In the optical flow setting, however, obtaining dense per-pixe…
MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation
Junhwa Hur, Stefan Roth
Optical flow estimation is one of the most studied problems in computer vision, yet recent benchmark datasets continue to reveal problem areas of today's approaches. Occlusions hav…