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Sign language segmentation with temporal convolutional networks
The objective of this work is to determine the location of temporal boun...
11/25/2020 ∙ by Katrin Renz, et al. ∙
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Watch, read and lookup: learning to spot signs from multiple supervisors
The focus of this work is sign spotting - given a video of an isolated s...
10/08/2020 ∙ by Liliane Momeni, et al. ∙
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BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
Recent progress in fine-grained gesture and action classification, and m...
07/23/2020 ∙ by Samuel Albanie, et al. ∙
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Synthetic Humans for Action Recognition from Unseen Viewpoints
Our goal in this work is to improve the performance of human action reco...
12/09/2019 ∙ by Gül Varol, et al. ∙
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Learning joint reconstruction of hands and manipulated objects
Estimating hand-object manipulations is essential for interpreting and i...
04/11/2019 ∙ by Yana Hasson, et al. ∙
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BodyNet: Volumetric Inference of 3D Human Body Shapes
Human shape estimation is an important task for video editing, animation...
04/13/2018 ∙ by Gül Varol, et al. ∙
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Learning from Synthetic Humans
Estimating human pose, shape, and motion from images and videos are fund...
01/05/2017 ∙ by Gül Varol, et al. ∙
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Long-term Temporal Convolutions for Action Recognition
Typical human actions last several seconds and exhibit characteristic sp...
04/15/2016 ∙ by Gül Varol, et al. ∙
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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Computer vision has a great potential to help our daily lives by searchi...
04/06/2016 ∙ by Gunnar A. Sigurdsson, et al. ∙
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