Name: Shuda Li
Type: User
Company: Staff Research Scientist @ Common Sense Machine; Research Scientist @ XYZ Reality; Former Postdoc @ AVL Univ of Oxford; PhD @ Univ. of Bristol; MPil @ The Univ of Hong Kong
Bio: Spatial AI, Neural Renderer, Real2Sim, Sim2Real
Twitter: li_shuda
Location: United Kingdom
Blog: https://lishuda.wordpress.com/
Shuda Li's Projects
A collection of resources and papers on Diffusion Models
A curated list of awesome neural radiance fields (NeRF) papers.
The official Python library for the CSM API
Enhanced hierarchical bag-of-word library for C++
Improved version of DBow2
Direct Sparse Odometry
g2o: A General Framework for Graph Optimization
Implementation of Graph Convolutional Networks in TensorFlow
Python tools to perform time-synchronization and hand-eye calibration.
A C++ implementation of our paper "HDRFusion: HDR SLAM using a low-cost auto-exposure RGB-D sensor"
libQGLViewer is an open source C++ library based on Qt that eases the creation of OpenGL 3D viewers.
Models built with TensorFlow
PyTorch code for Neighbourhood Consensus Networks
Open3D: A Modern Library for 3D Data Processing
Open Source Computer Vision Library
Repository for OpenCV's extra modules
OpenNI2
OpenVR SDK
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Open source eye tracking
This is an open source C++ implementation of the paper RGB-D Relocalisation Using Pairwise Geometry and Concise Key Point Sets. Li, S., & Calway, A. ICRA, 2015.
A header only library with example files to deliver moer accurate, precise and robust pose estimation than using traditional Perspective-n-Point approaches.
Main reference:Handa, A., Whelan, T., Mcdonald, J., & Davison, A. J. (2014). A Benchmark for RGB-D Visual Odometry , 3D Reconstruction and SLAM. In ICRA.
Python scripts to facilitate participation in the SIXD Challenge.
C++ implementation of Lie Groups using Eigen.