Xiaojiean's repositories
ct_2_mri
ct_aortic_anatomy_to_pc_mri_flow_conversion
robopilot
Live Dense Multi Modal 3D Mapping — A system designed for real time 3D reconstruction using a fusion of multiple depth and camera sensors simultaneously at real time speed — A Generic Framework for Distributed Deep Neural Networks over the Cloud, the Edge, and End Devices for Computer Vision Applications.
forest_model
Reconstruction of 3D forest models from segmented point clouds
GCFM-pytorch
The implementation of "Fine-Grained Question-Level Deception Detection via Graph-based Learning and Cross-modal Fusion" using pytorch
mrmf
A framework for multi-robot planning, scheduling, and control within the ROS ecosystem
Autonomous-Navigation-Robot-Design-for-Shelter-Hospital-Garbage-transportation
Based on Livox, Rplidar and camera. Software: Navigation
neural-3d-holography
Code and data for Neural 3D Holography | SIGGRAPH Asia 2021
unsupervised-depth-completion-visual-inertial-odometry
Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
manhattan_sdf
Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral
vox-point-cloud-texture-importer
MagicaVoxel Vox file importer to Texture2D for use in Unity's VFX Graph
PointCloudRendering
Fast rendering of large point clouds in OpenGL through compute shaders.
GmSSL
支持国密SM2/SM3/SM4/SM9/SSL的密码工具箱
vox_nav
A project to develop/adapt a navigation system for outdoor robotics in rough uneven terrains
MedicalSeg
MedicalSeg is an easy-to-use 3D medical image segmentation toolkit that supports the whole segmentation process. Specially, We provide data preprocessing acceleration, high precision model on COVID-19 CT scans dataset and MRISpineSeg spine dataset, and a 3D visualization demo based on itkwidgets.
smart_surveillance
Home surveillance systems available today notify homeowners of any motion detected by the cameras. This behavior leads to mostly false positives and annoying notifications. Worse, these systems suffer from the “one size fits all” approach and do not offer any ability to provide personalized feedback and make the notifications only appear for unknown persons and objects. The personalization can be based on the unique features of a home’s landscape, location and known persons and pets. Our team intends to address this gap. We are proposing to develop the building blocks for a smart home surveillance system. The system will use video streams from off-the-shelf outdoor IP cameras. It will analyze and interpret the content of the streams and employ feedback mechanisms to generate customizable notifications for the homeowner. We plan to implement an end to end pipeline that can detect objects and faces in the data streams in order to recognize unfamiliar faces, identify anomalous situations and notify the homeowner about the anomaly. The feedback loop will enable the system to improve its capabilities over time and generate notifications that are personalized for each homeowner.
didimo-digital-human-unity-sdk
Didimo creates incredible high-fidelity digital humans. Simple, fast, high-quality user-generated avatars to integrate into business, apps, and experiences.
easylearn_dev
Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.
hydrafusion
Model code for our paper titled "HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception"
awesome-robotic-tooling
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
V2X-Hub
V2X Hub is a message handler that acts as a translator and data aggregator/disseminator for infrastructure components of a connected vehicle deployment.
QT-PyQt-PySide-Custom-Widgets
Awesome custom widgets made for QT Desktop Applications. Simplify your UI development process. These widgets can be used in QT Designer then imported to PySide code.
invesalius3
3D medical imaging reconstruction software
self-driving-car-nanodegree
This nanodegree programs covered all the basic topics related to self-driving cars. Computer vision, deep learning, sensor fusion, localization, motion planning, control and systems integration.
CTK
A set of common support code for medical imaging, surgical navigation, and related purposes.
ALSET
ALSET Autonomous Vehicles with Full Self Driving Capabilities: Model S: A toy RC robot with arm and tracked wheels. Model X: a toy RC Excavator. Both run the same software and use a camera for navigation and control (no lidar!) and Neural Nets / Reinforcement Learning (DQN) running on an on-board Jetson Nano.
Retrospective-v8.2
Self-gated CINE MRI reconstruction. Features: 2D/3D, phased-array coils, CS & parallel imaging, L-curve, 3D variable-flip-angle for T1 mapping.
ROS-TurtleBot-Tutorial
Tutorial to run TurtleBot examples on ROS1 and ROS2