14 citations · 36 across the 16 of their papers we have counts for
6 papers · 1 filter
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
Dongkyu Derek Cho, Won Chang, Jaewoo Park
Computer models play a crucial role in numerous scientific and engineering domains. To ensure the accuracy of simulations, it is essential to properly calibrate the input parameter…
ASAP: Accurate semantic segmentation for real time performance
Jaehyun Park, Subin Lee, Eon Kim +4
Feature fusion modules from encoder and self-attention module have been adopted in semantic segmentation. However, the computation of these modules is costly and has operational li…
A Bayesian Convolutional Neural Network-based Generalized Linear Model
Yeseul Jeon, Won Chang, Seonghyun Jeong +2
Convolutional neural networks (CNNs) provide flexible function approximations for a wide variety of applications when the input variables are in the form of images or spatial data.…
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation
Jaewoo Park, Hojin Park, Eunju Jeong +1
The findings on open-set recognition (OSR) show that models trained on classification datasets are capable of detecting unknown classes not encountered during the training process.…
A Spatio-Temporal Dirichlet Process Mixture Model for Coronavirus Disease-19
Jaewoo Park, Seorim Yi, Won Chang +1
Understanding the spatio-temporal patterns of the coronavirus disease 2019 (COVID-19) is essential to construct public health interventions. Spatially referenced data can provide r…
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network
Jaehyun Park, Chansoo Kim, Kichun Jo
The autonomous car must recognize the driving environment quickly for safe driving. As the Light Detection And Range (LiDAR) sensor is widely used in the autonomous car, fast seman…