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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…