Hwichang Kim — accepted AI-conference papers

2026

ESP-SLAM: Efficient Submap Partitioning for Large-Scale 3D Gaussian Splatting-Based SLAM

Jisung Bae, Hwichang Kim, Jinwoo Choi, Ji-Hoon Hwang, Dong-Wook Kim, Kun Park +1

RA-L 2026

Recent SLAM systems have adopted 3D Gaussian Splatting (3DGS) to generate photorealistic maps. Despite its high fidelity, scaling 3DGS-SLAM to large scenes remains challenging. In most implementations, 3DGS maintains a single globally shared set of Gaussians, which can cause catastrophic forgetting

Cited by 0 Source ↗Scholar ↗

2022

ABCD: Attentive Bilateral Convolutional Network for Robust Depth Completion

Yurim Jeon, Hwichang Kim, Seung-Woo Seo

RA-L 2022

We propose a point-cloud-centric depth completion method called attention bilateral convolutional network for depth completion (ABCD). The proposed method uses LiDAR data and camera data to improve the resolution of the sparse depth information. Color images, which have been seen as fundamental to d

Cited by 26 Source ↗Scholar ↗