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Inha University, SPARO LAB
- 🇰🇷
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09:14
(UTC +09:00) - [email protected]
- https://orcid.org/0009-0006-9225-3583
- https://scholar.google.com/citations?hl=ko&user=iKsImcYAAAAJ
- in/gihyeonlee99
Highlights
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Lists (22)
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3D-pointcloud method
awesome
essential-framework
Foundation models
CLIP, DINO etc.Gazebo
line segment
multi_robot_slam
open-set mapping & scene graph
Optim
rviz_cinema_videomaker
Semantic 3d scene graph
Semantic SLAM
sensor-driver
SPARO
Super-Quadric
Object & Semantic SLAMtext
Ultralytics
Object aware methodVLM & LLM robotics
world-model
논문 코드
면접용
신기한 것
Stars
CMU Vision-Language-Autonomy Challenge - Unity Docker Setup
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
Robotics Mathematical modeling and theory with Python (learning through extensive numerical simulations and animations.)
YOLOv12: Attention-Centric Real-Time Object Detectors
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
CMU Vision-Language-Autonomy Challenge - Unity Setup
Gaussian Blief Propagation
A General NeRF Acceleration Toolbox in PyTorch.
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
HEROS: Hierarchical Exploration with Online Subregion Updating for 3D Environment Coverage
🌱CLID-SLAM: A Coupled LiDAR-Inertial Neural Implicit Dense SLAM with Region-Specific SDF Estimation
A modified version of FAST-LIO2 that can generate RGB point cloud maps
GSPR: Multimodal Place Recognition using 3D Gaussian Splatting for Autonomous Driving
Collect some World Models for Autonomous Driving (and Robotic) papers.
Official Implementation of RTGS: Enabling Real-Time Gaussian Splatting on Mobile Devices Using Efficiency-Guided Pruning and Foveated Rendering.
[ICLR 2025] Point-SAM: Promptable 3D Segmentation Model for Point Clouds
Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019)
MambaGlue: Fast and Robust Local Feature Matching With Mamba @ ICRA'25
(In progress) A curated list of recent robot learning papers incorporating diffusion models for robotics tasks.
LIR-LIVO: A Lightweight,Robust Lidar/Vision/Inertial Odometry with Illumination-Resilient Deep Features
[ICLR'25] [3D-LLM] City-scale 3D Visual Grounding with Multi-modality LLMs
[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency