A number of computer vision deep regression approaches report improved
r...
Activity progress prediction aims to estimate what percentage of an acti...
Objects in videos are typically characterized by continuous smooth motio...
Deep learning has improved vanishing point detection in images. Yet, dee...
Binary networks are extremely efficient as they use only two symbols to
...
Frequency information lies at the base of discriminating between texture...
Resolution in deep convolutional neural networks (CNNs) is typically bou...
Not all video frames are equally informative for recognizing an action. ...
Classical work on line segment detection is knowledge-based; it uses
car...
Biological vision adopts a coarse-to-fine information processing pathway...
Currently, the most common motion representation for action recognition ...
We focus on the problem of estimating human hand-tremor frequency from i...
Knowledge distillation compacts deep networks by letting a small student...
This method introduces an efficient manner of learning action categories...
This work incorporates the multi-modality of the data distribution into ...
This paper proposes motion prediction in single still images by learning...