Pinned Repositories
BDCN
The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection
code-and-dataset-for-CapSal
This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.
DenseSurfelMapping
This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"
evo
Python package for the evaluation of odometry and SLAM
Fast-Planner
Package for the paper "Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight"
FIESTA
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
gluon-cv
Gluon CV Toolkit
hello-world
KL-Loss
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
Teach-Repeat-Replan
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
xuefeiwang12's Repositories
xuefeiwang12/FIESTA
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
xuefeiwang12/gluon-cv
Gluon CV Toolkit
xuefeiwang12/Teach-Repeat-Replan
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
xuefeiwang12/BDCN
The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection
xuefeiwang12/code-and-dataset-for-CapSal
This project provides the code and datasets for 'CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection', CVPR 2019.
xuefeiwang12/DenseSurfelMapping
This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"
xuefeiwang12/evo
Python package for the evaluation of odometry and SLAM
xuefeiwang12/Fast-Planner
Package for the paper "Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight"
xuefeiwang12/hello-world
xuefeiwang12/KL-Loss
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
xuefeiwang12/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
xuefeiwang12/OpenMAS
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
xuefeiwang12/PoolNet
Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"
xuefeiwang12/Prometheus
Open source software for autonomous drones.
xuefeiwang12/pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
xuefeiwang12/RESLAM
RESLAM: A real-time robust edge-based SLAM system
xuefeiwang12/RTM3D
The PyTorch Implementation of RTM3D for Monocular 3D Object Detection
xuefeiwang12/SC-SfMLearner-Release
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)
xuefeiwang12/segmap
A map representation based on 3D segments
xuefeiwang12/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
xuefeiwang12/VINS-Fusion
An optimization-based multi-sensor state estimator
xuefeiwang12/VINS-kidnap
a place recognition system for VINS-fusion
xuefeiwang12/VisualServoing
Visual Servoing of UAVs