no code implementations • 18 Oct 2023 • Hangbin Lee, IL DO HA, Changha Hwang, Youngjo Lee
In this paper, we propose a novel hierarchical likelihood learning framework for introducing gamma random effects into the Poisson DNN, so as to improve the prediction performance by capturing both nonlinear effects of input variables and subject-specific cluster effects.
no code implementations • 13 Jul 2023 • Hangbin Lee, IL DO HA, Youngjo Lee
For prediction of clustered time-to-event data, we propose a new deep neural network based gamma frailty model (DNN-FM).
no code implementations • 23 Dec 2021 • Youngjo Lee, Hongje Seong, Euntai Kim
We believe that we can select a better reference frame to achieve the better UVOS performance than using only the first frame or the entire video as a reference frame.
Ranked #6 on Unsupervised Video Object Segmentation on FBMS test