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Found 3 papers, 1 papers with code
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
To the best of our knowledge this paper is the first attempt to address the depth edges issue for LIDAR-supervised scenes.
Consistent Semantic Attacks on Optical Flow
We present a novel approach for semantically targeted adversarial attacks on Optical Flow.
Using body-anchored priors for identifying actions in single images
The task is easy for humans but difficult for current approaches to object recognition, because action instances may be similar in terms of body pose, and often require detailed examination of relations between participating objects and body parts in order to be recognized.
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