no code implementations • 27 Apr 2022 • Youngjoon Yu, Hong Joo Lee, Hakmin Lee, Yong Man Ro
Person detection has attracted great attention in the computer vision area and is an imperative element in human-centric computer vision.
no code implementations • 21 May 2020 • Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Nassir Navab, Yong Man Ro
Experimental results show that the proposed method could provide useful uncertainty information by Bayesian approximation with the efficient ensemble model generation and improve the predictive performance.
no code implementations • 21 May 2020 • Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro
After the ensemble models are trained, it can hide the gradient efficiently and avoid the gradient-based attack by the random layer sampling method.
no code implementations • 21 May 2020 • Byeong Cheon Kim, Jung Uk Kim, Hakmin Lee, Yong Man Ro
Through the comprehensive experimental results and analysis, this paper presents the inherent property of adversarial robustness in the autoencoders.
no code implementations • 17 Sep 2018 • Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
In order to learn deep network model to be well-behaved in bio-image computing fields, a lot of labeled data is required.
no code implementations • 23 May 2018 • Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro
In this paper, we investigate interpretability in CADx with the proposed interpretable CADx (ICADx) framework.