2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2020★ 2 cited
A Comprehensive Review of Skeleton-based Movement Assessment Methods
Tal Hakim
The raising availability of 3D cameras and dramatic improvement of computer vision algorithms in the recent decade, accelerated the research of automatic movement assessment soluti…
cs.CV2019
A-MAL: Automatic Movement Assessment Learning from Properly Performed Movements in 3D Skeleton Videos
Tal Hakim, Ilan Shimshoni
The task of assessing movement quality has recently gained high demand in a variety of domains. The ability to automatically assess subject movement in videos that were captured by…
cs.CV2019
Learning to Detect and Retrieve Objects from Unlabeled Videos
Elad Amrani, Rami Ben-Ari, Tal Hakim +1
Learning an object detector or retrieval requires a large data set with manual annotations. Such data sets are expensive and time consuming to create and therefore difficult to obt…