23 citations · 79 across the 17 of their papers we have counts for
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cs.CV2016★ 23 cited
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea, Michael D. Flynn, Rene Vidal +2
The ability to identify and temporally segment fine-grained human actions throughout a video is crucial for robotics, surveillance, education, and beyond. Typical approaches decoup…
cs.CV2016★ 17 cited
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Colin Lea, Rene Vidal, Austin Reiter +1
The dominant paradigm for video-based action segmentation is composed of two steps: first, for each frame, compute low-level features using Dense Trajectories or a Convolutional Ne…