runjtu

Master's degree candidate at Shanghai Jiao Tong University

Shanghai Jiao Tong UniversityShanghai

Pinned Repositories

2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Language:Python00
4d-gaussian-splatting
[ICLR 2024] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Language:Python0 0 00
awesome-and-novel-works-in-slam
collecting some new ideas for slam (Semantic, 3DGS, BEV, Nav, LLM, Multi-session) and will update this repo weekly, for both engineering and academic usings.
39 2 03
housepricing-predict
nus groupworks with Li Yifan and Lyu Dongwei
Language:Jupyter Notebook1 1 00
jump-robot
bio-inspired jumpingrobot, stm32, wechat app, raspi, with Niu Junhao
Language:C1 1 00
loan-or-not
sample for ml
Language:Jupyter Notebook10
ntu-mlhw
Dr.Lin-ntu-machine learning 2021 autumn
Language:Jupyter Notebook1 1 00
OnSite-Mine-unstructed-benchmark
sim autonomous driving with python-based lib OnSite-Mine for unstructed environments
Language:Python1 1 00
onsite_mine
The simulation environment for unstructured road replay testing in onsite competitions. Maintaining release and docker-image branch
Language:Python10
ros2-practice
improve and practice with ros2
Language:Python1 1 00

runjtu's Repositories

runjtu/awesome-and-novel-works-in-slam
collecting some new ideas for slam (Semantic, 3DGS, BEV, Nav, LLM, Multi-session) and will update this repo weekly, for both engineering and academic usings.
39 2 03
runjtu/jump-robot
bio-inspired jumpingrobot, stm32, wechat app, raspi, with Niu Junhao
Language:C1 1 00
runjtu/OnSite-Mine-unstructed-benchmark
sim autonomous driving with python-based lib OnSite-Mine for unstructed environments
Language:Python1 1 00
runjtu/onsite_mine
The simulation environment for unstructured road replay testing in onsite competitions. Maintaining release and docker-image branch
Language:Python10
runjtu/2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Language:Python00
runjtu/4d-gaussian-splatting
[ICLR 2024] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Language:Python0 0 00
runjtu/AnyLoc
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
Language:Python0 0 00
runjtu/baa-ngp
This repository contains the official Implementation for "BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives".
Language:Python0 0 00
runjtu/Coco-LIC
[RA-L 2023] Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline
Language:C++0 0
runjtu/DeepPointMap
Implementation of DeepPointMap (AAAI2024), a nerual network-based LiDAR SLAM architecture in Pytorch
Language:Python0 0
runjtu/dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
runjtu/EmerNeRF
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Language:Python0 0
runjtu/FlexMap_Fusion
ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion, for car race
Language:C++0 0
runjtu/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Language:Python0 0
runjtu/gaustudio
A Modular Framework for 3D Gaussian Splatting and Beyond
runjtu/Kimera-Multi-LCD
Language:C++0 0
runjtu/lovemcm
naive paper written in those days
1 0
runjtu/LTAOM
for mines mapping
Language:C++0 0
runjtu/MR_SLAM
[IEEE T-RO 2023] A modularized multi-robot SLAM system with elevation mapping and a costmap converter for easy navigation. Different odometry and loop closure algorithms can be easily integrated into the system.
runjtu/neural_graph_mapping
Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
Language:Python0 0
runjtu/OSM2GMNS
runjtu/PGSR
code for "PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction"
Language:Python0 0
runjtu/PIN_SLAM
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
Language:Python0 0
runjtu/runjtu
self supervised
1 0
runjtu/S3Gaussian
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
runjtu/SelaVPR
Official repository for the ICLR 2024 paper "Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition".
runjtu/SMERF
runjtu/tactics2d
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
runjtu/TopoLogic
An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes, Better than SMERF
runjtu/VPR-methods-evaluation
Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"