Publications (5)
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference
Lu Gan, Youngji Kim, Jessy W. Grizzle +4
This article presents a novel and flexible multitask multilayer Bayesian mapping framework with readily extendable attribute layers. The proposed framework goes beyond modern metri…
Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks
Youngji Kim, Ayoung Kim
We proposed an end-to-end deep learning-based simultaneous localization and mapping (SLAM) system following conventional visual odometry (VO) pipelines. The proposed method complet…
InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360° Image
Gwanhyeong Koo, Hyunsu Kim, Youngji Kim +5
Recent advances in single image-to-3D generation have enabled high-quality asset synthesis, yet extending these capabilities to indoor scene generation remains challenging. Existin…
Tailoring phonon-driven responses in α-MoO3 through isotopic enrichment
Thiago S. Arnaud, Ryan W. Spangler, Johnathan D. Georgaras +29
The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material is…
A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments
Hyungtae Lim, Suyong Yeon, Soohyun Ryu +6
Global registration using 3D point clouds is a crucial technology for mobile platforms to achieve localization or manage loop-closing situations. In recent years, numerous research…