11 citations · 20 across the 6 of their papers we have counts for
8 papers
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…
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…
An Interaction Neyman-Scott Point Process Model for Coronavirus Disease-19
J. Park, W. Chang, B. Choi
With rapid transmission, the coronavirus disease 2019 (COVID-19) has led to over 2 million deaths worldwide, posing significant societal challenges. Understanding the spatial patte…
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets
Benjamin Seiyon Lee, Jaewoo Park
Nonstationary non-Gaussian spatial data are common in many disciplines, including climate science, ecology, epidemiology, and social sciences. Examples include count data on diseas…
Bayesian Indirect Inference for Models with Intractable Normalizing Functions
Jaewoo Park
Inference for doubly intractable distributions is challenging because the intractable normalizing functions of these models include parameters of interest. Previous auxiliary varia…
Reduced-dimensional Monte Carlo Maximum Likelihood for Latent Gaussian Random Field Models
Jaewoo Park, Murali Haran
Monte Carlo maximum likelihood (MCML) provides an elegant approach to find maximum likelihood estimators (MLEs) for latent variable models. However, MCML algorithms are computation…