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Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
In this paper, we propose a framework for unsupervised learning of optical flow and occlusions over multiple frames.
On the Integration of Optical Flow and Action Recognition
Here we take a deeper look at the combination of flow and action recognition, and investigate why optical flow is helpful, what makes a flow method good for action recognition, and how we can make it better.
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
Existing optical flow datasets are limited in size and variability due to the difficulty of capturing dense ground truth.
Exploiting Object Similarity in 3D Reconstruction
Despite recent progress, reconstructing outdoor scenes in 3D from movable platforms remains a highly difficult endeavour.
Displets: Resolving Stereo Ambiguities Using Object Knowledge
Stereo techniques have witnessed tremendous progress over the last decades, yet some aspects of the problem still remain challenging today.
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