no code implementations • 11 Nov 2022 • Raisha Shrestha, Waree Kongprawechnon, Teesid Leelasawassuk, Nattapon Wongcumchang, Oliver Findl, Nino Hirnschall
Comparison between gold standard GT and segmented results from our models gave a Dice coefficient value greater than 0. 7 and IoU score greater than 0. 6 for both the models showing that automated ground truths can also result in generation of an efficient model.
no code implementations • 16 Oct 2015 • Dima Damen, Teesid Leelasawassuk, Walterio Mayol-Cuevas
This paper presents an unsupervised approach towards automatically extracting video-based guidance on object usage, from egocentric video and wearable gaze tracking, collected from multiple users while performing tasks.