3 citations · 6 across the 5 of their papers we have counts for
6 papers
Evaluation Framework for Feedback Generation Methods in Skeletal Movement Assessment
Tal Hakim
The application of machine-learning solutions to movement assessment from skeleton videos has attracted significant research attention in recent years. This advancement has made re…
Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation
Tal Hakim
Predicting the accuracy of candidate neural architectures is an important capability of NAS-based solutions. When a candidate architecture has properties that are similar to other…
NAAP-440 Dataset and Baseline for Neural Architecture Accuracy Prediction
Tal Hakim
Neural architecture search (NAS) has become a common approach to developing and discovering new neural architectures for different target platforms and purposes. However, scanning…
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…
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…
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…