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Name: Fengkui Cao
Type: User
Bio: A Ph.D. candidate,his research interests are in UGVs’ autonomous navigation and long-term localization, SLAM, and computer vision.
Location: Dalian, Liaoning, China
Name: Fengkui Cao
Type: User
Bio: A Ph.D. candidate,his research interests are in UGVs’ autonomous navigation and long-term localization, SLAM, and computer vision.
Location: Dalian, Liaoning, China
Deformable Convolutional Networks
Self-supervised Deep LiDAR Odometry for Robotic Applications
Delta Descriptors: Visual Localization via Visual Place Recognition (VPR) where places are described using a change-based spatio-temporal representation. (RA-L & IROS 2020)
DenseNet Implementation in Tensorflow
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
End-to-End Object Detection with Transformers
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
A memory-efficient implementation of DenseNets
A memory efficient implementation of densenet.
PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic
PyTorch code for training EfficientPS for Panoptic Segmentation of images. https://rl.uni-freiburg.de/research/panoptic
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
3D mapping tools for robotic applications
Point Cloud Library repository with some tutorials and personal works to help me understand PCL
Face recognition using Tensorflow
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)
g2o: A General Framework for Graph Optimization
An easy example of doing bundle adjustment within two images using g2o.
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
starter from "How to Train a GAN?" at NIPS2016
Guided Locality Preserving Feature Matching for Remote Sensing Image Registration / Visual Homing via Guided Locality Preserving Matching
Multimodal matching ; image matching; SIFT
HOPC matching code
ICRA2020 paperlist by paopaorobot
Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.