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08/02/2019
Learning Variations in Human Motion via Mix-and-Match Perturbation
Human motion prediction is a stochastic process: Given an observed seque...
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10/22/2018
VIENA2: A Driving Anticipation Dataset
Action anticipation is critical in scenarios where one needs to react be...
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07/16/2018
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
Training a deep network to perform semantic segmentation requires large ...
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08/15/2017
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation
Pixel-level annotations are expensive and time-consuming to obtain. Henc...
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06/06/2017
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation
Pixel-level annotations are expensive and time consuming to obtain. Henc...
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03/21/2017
Encouraging LSTMs to Anticipate Actions Very Early
In contrast to the widely studied problem of recognizing an action given...
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11/17/2016
