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20212023
most citedMS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics

2 citations · 2 across the 6 of their papers we have counts for

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cs.CV2023

SFGANS Self-supervised Future Generator for human ActioN Segmentation

Or Berman, Adam Goldbraikh, Shlomi Laufer

The ability to locate and classify action segments in long untrimmed video is of particular interest to many applications such as autonomous cars, robotics and healthcare applicati…

cs.CV2023★ 2 cited

MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics

Adam Goldbraikh, Omer Shubi, Or Rubin +2

Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors. This work presents two contr…