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NUDT
- Changsha, China
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01:28
(UTC +08:00) - https://neng-wang.github.io/
- https://orcid.org/0009-0005-3620-347X
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Dynamic 3D Gaussian Scene Graphs for Environment Adaptation
Open-source code for Paper: Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
Codes for "Efficient Multi-Modal 3D Object Detector via Instance Level Contrastive Distillation"
4D Panoptic Scene Graph Generation (NeurIPS'23 Spotlight)
LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar
BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion Model
Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding
Efficient Instance Motion-Aware Point Cloud Scene Prediction
Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM
[CVPR 2025] Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting
[CVPR2025] LightLoc: Learning Outdoor LiDAR Localization at Light Speed
SGT-LLC: LiDAR Loop Closing Based on Semantic Graph with Triangular Spatial Topology
[ICRA 2025] ELite: Ephemerality meets LiDAR-based Lifelong Mapping
Header-Only C++ Library for Graph Representation and Algorithms
KISS-Matcher: Fast, Robust, and Scalable Registration for All Point Clouds
A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.
PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map
BEV-LSLAM: A Novel and Compact BEV LiDAR SLAM for Outdoor Environment
Semantic DSP Map in paper "Particle-based Instance-aware Semantic Occupancy Mapping in Dynamic Environments"