no code implementations • 3 Mar 2017 • Jang-Won Lee, Michael S. Ryoo
We design a new approach that allows robot learning of new activities from unlabeled human example videos.
no code implementations • CVPR 2017 • Chenyou Fan, Jang-Won Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures the scene.
no code implementations • 26 Jan 2021 • Hyun-Suk Lee, Cong Shen, William Zame, Jang-Won Lee, Mihaela van der Schaar
Phase I clinical trials are designed to test the safety (non-toxicity) of drugs and find the maximum tolerated dose (MTD).
no code implementations • 2 Mar 2021 • Hyun-Suk Lee, Jang-Won Lee
To address this, we propose a metric, called an effectivity score, which represents the amount of learning from asynchronous FL.
no code implementations • 18 Mar 2022 • Dongheon Lee, Gyuyeol Kong, Jang-Won Lee, Sooyong Choi
In this study, a novel coding scheme called highdensity coding based on high-density codebooks using a genetic local search algorithm is proposed.
1 code implementation • NeurIPS 2020 • Hyun-Suk Lee, Yao Zhang, William Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
Most of the current methods of subgroup analysis begin with a particular algorithm for estimating individualized treatment effects (ITE) and identify subgroups by maximizing the difference across subgroups of the average treatment effect in each subgroup.