2 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
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…
Using Hand Pose Estimation To Automate Open Surgery Training Feedback
Eddie Bkheet, Anne-Lise D'Angelo, Adam Goldbraikh +1
Purpose: This research aims to facilitate the use of state-of-the-art computer vision algorithms for the automated training of surgeons and the analysis of surgical footage. By est…
Bounded Future MS-TCN++ for surgical gesture recognition
Adam Goldbraikh, Netanell Avisdris, Carla M. Pugh +1
In recent times there is a growing development of video based applications for surgical purposes. Part of these applications can work offline after the end of the procedure, other…
Open surgery tool classification and hand utilization using a multi-camera system
Kristina Basiev, Adam Goldbraikh, Carla M Pugh +1
Purpose: The goal of this work is to use multi-camera video to classify open surgery tools as well as identify which tool is held in each hand. Multi-camera systems help prevent oc…
Video-based fully automatic assessment of open surgery suturing skills
Adam Goldbraikh, Anne-Lise D'Angelo, Carla M. Pugh +1
The goal of this study was to develop new reliable open surgery suturing simulation system for training medical students in situation where resources are limited or in the domestic…