no code implementations • 29 Feb 2024 • Hoon Kim, Minje Jang, Wonjun Yoon, Jisoo Lee, Donghyun Na, Sanghyun Woo
We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework.
no code implementations • 25 Sep 2019 • Sunghyun Kim, Minje Jang, Changho Suh
As existing state-of-the-art algorithms are tailored to certain statistical models, we have different best algorithms across distinct scenarios.
no code implementations • NeurIPS 2017 • Minje Jang, Sunghyun Kim, Changho Suh, Sewoong Oh
As our result, we characterize the minimax optimality on the sample size for top-K ranking.
no code implementations • 14 Mar 2016 • Minje Jang, Sunghyun Kim, Changho Suh, Sewoong Oh
First, in a general comparison model where item pairs to compare are given a priori, we attain an upper and lower bound on the sample size for reliable recovery of the top-$K$ ranked items.
