Jee Won Lee

According to our database, Jee Won Lee authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity.

SooYeun Yang, Cheyul Im, Jee Won Lee, Jongseong Brad Choi

CoRR, January, 2026

SARA: Scene-Aware Reconstruction Accelerator.

Jee Won Lee, Hansol Lim, Minhyeok Im, Dohyeon Lee, Jongseong Brad Choi

CoRR, January, 2026

2025

LiteVoxel: Low-memory Intelligent Thresholding for Efficient Voxel Rasterization.

Jee Won Lee, Jongseong Brad Choi

CoRR, November, 2025

Hybrid Vision Servoing with Depp Alignment and GRU-Based Occlusion Recovery.

Jee Won Lee, Hansol Lim, SooYeun Yang, Jongseong Brad Choi

CoRR, October, 2025

VEGA: Electric Vehicle Navigation Agent via Physics-Informed Neural Operator and Proximal Policy Optimization.

Hansol Lim, Minhyeok Im, Jonathan Boyack, Jee Won Lee, Jongseong Brad Choi

CoRR, September, 2025

A Hybrid Surrogate for Electric Vehicle Parameter Estimation and Power Consumption via Physics-Informed Neural Operators.

Hansol Lim, Jongseong Brad Choi, Jee Won Lee, Haeseong Jeoung, Minkyu Han

CoRR, August, 2025

Micro-splatting: Maximizing Isotropic Constraints for Refined Optimization in 3D Gaussian Splatting.

Jee Won Lee, Hansol Lim, SooYeun Yang, Jongseong Choi

CoRR, April, 2025

MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection.

Jee Won Lee, Hansol Lim, SooYeun Yang, Jongseong Brad Choi

CoRR, March, 2025

PD-Skygroundhook Controller for Semi-Active Suspension System Using Magnetorheological Fluid Dampers.

Hansol Lim, Jee Won Lee, Seung-Bok Choi, Jongseong Brad Choi

CoRR, March, 2025

2024

EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics.

Hansol Lim, Jee Won Lee, Jonathan Boyack, Jongseong Brad Choi

CoRR, 2024