-
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net,[PDF],
-
A generic interface for disparity map and pointcloud insertion,
-
SPHORB: A Fast and Robust Binary Feature on the Sphere,International Journal of Computer Vision 2015,[PDF],[Project Page],
-
BADSLAM: Bundle Adjusted Direct RGB-D SLAM,CVPR 2019,[PDF],
-
High Speed and High Dynamic Range Video with an Event Camera,arXiv,[PDF],[Project Page],
-
Awesome-VIO,Discuss about VIO in PaoPaoRobot group,
-
GyroAllan,陀螺仪随机误差的 Allan 方差分析, Another version,
-
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation,ICRA 2019,[PDF], 跨大视角的场景重识别,
-
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera,ICRA 2019,[PDF], 优化LiDAR以及单目得到的深度图,
-
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image,CVPR 2019,[PDF],[Project Page],通过单幅图像进行3D平面检测以及重建
-
DBow3,注释版的DBow3代码
-
Visual-Inertial Mapping with Non-Linear Factor Recovery,[PDF],[Project Page], 时空联合的VIO优化方案
-
ICRA2019-paper-list,ICRA 2019论文列表(泡泡机器人出品暂时无链接)
-
Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry, IROS 2018,[PDF],利用深度图进行圆柱检测以及平面检测进行VO
-
Solutions to assignments of Robot Mapping Course WS 2013/14 by Dr. Cyrill Stachniss at University of Freiburg,SLAM算法学习课后作业答案
-
Direct sparse odometry combined with stereo cameras and IMU,双目DSO+IMU
-
Python binding of SLAM graph optimization framework g2o,python版本的g2o实现
-
SuperPoint: Self-Supervised Interest Point Detection and Description, CVPR 2018, [Paper], 深度学习描述子+描述
-
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context, CVPR 2019, [Paper], 深度学习描述子
-
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features, CVPR 2019, [Paper], [Project Page], 深度学习关键点+描述
-
ROS interface for ORBSLAM2,ROS版本的ORBSLAM2
-
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction, [Paper]
-
VINS-Mono-Learning,代码注释版VINS-Mono,初学者学习
-
RESLAM: A real-time robust edge-based SLAM system, ICRA 2019, [Paper]
-
PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments, [Paper],线特征SLAM
-
Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM, ECCV 2018, [Project Page], 改进的PL-SLAM
-
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres, CVPR 2019, [Paper]
-
svo_edgelet, 在线轨迹生成
-
Drone SLAM project for Caltech's ME 134 Autonomy class, [PDF]
-
Online Trajectory Generation of a MAV for Chasing a Moving Target in 3D Dense Environments, [Paper]
-
Bundle adjustment demo using Ceres Solver, [Blog], ceres实现BA
-
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019, [Paper]
-
GIST-Global Image Descriptor, GIST描述子
-
mav voxblox planning, MAV planning tools using voxblox as the map representation.
-
Python Kalman Filter, 30行实现卡尔曼滤波
-
vicalib, 视觉惯导系统标定工具
-
BreezySLAM, 基于雷达的SLAM,支持Python(&Matlab, C++, and Java)
-
Probabilistic-Robotics, 《概率机器人》中文版,书和课后习题
-
Stanford Self Driving Car Code, [Paper], 斯坦福自动驾驶车代码
-
Artificial Intelligence in Automotive Technology, TUM自动驾驶技术中的人工智能课程
-
DeepMatchVO: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation,ICRA 2019, [Paper]
-
GSLAM: A General SLAM Framework and Benchmark, CVPR 2019, [Paper], 集成了各种传感器输入的SLAM统一框架
-
Visual-Odometric Localization and Mapping for Ground Vehicles Using SE(2)-XYZ Constraints,ICRA 2019,基于SE(2)-XYZ约束的VO系统
-
Simple bag-of-words loop closure for visual SLAM, [Blog], 回环
-
FBOW (Fast Bag of Words), an extremmely optimized version of the DBow2/DBow3 libraries,优化版本的DBow2/DBow3
-
Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation(master's thesis)
-
MSCKF, MSCKF中文注释版
-
Calibration algorithm for a camera odometry system, VO系统的标定程序
-
Modified version of VINS-Mono, 注释版本VINS Mono
-
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion,[Paper]
-
Implementation of EPnP algorithm with Eigen,利用Eigen编写的EPnP
-
Real-time SLAM system with deep features, 深度学习描述子(ORB vs. GCNv2)
-
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction, CVPR 2018, 无监督单目深度恢复以及VO
-
ORB-SLAM-windows, Windows版本的ORB-SLAM
-
StructVIO : Visual-inertial Odometry with Structural Regularity of Man-made Environments,[Project Page]
-
KalmanFiltering, 各种卡尔曼滤波器的demo
-
Stereo Odometry based on careful Feature selection and Tracking, [Paper], C++ OpenCV实现SOFT
-
Visual SLAM with RGB-D Cameras based on Pose Graph Optimization
-
Multi-threaded generic RANSAC implemetation, 多线程RANSAC
-
Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities, BMVC 2017, [Project Page],利用平面正交信息进行VO
-
GraphSfM: Robust and Efficient Graph-based Structure from Motion, [Project Page]
-
LOAM_NOTED, loam中文注解版
-
Divide and Conquer: Effcient Density-Based Tracking of 3D Sensors in Manhattan Worlds,ACCV 2016,[Project Page],曼哈顿世界利用深度传感器进行旋转量平移量分离优化
-
Real-time Manhattan World Rotation Estimation in 3D,IROS 2015,实时曼哈顿世界旋转估计
-
Progressive Pose Attention for Person Image Generation,CVPR 2019,[Paper]
-
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image, CVPR 2019,[Paper]
-
An unoffical implemention for paper "Fast Human Pose Estimation", CVPR 2019,[Paper]
-
Real-time single person pose estimation for Android and iOS,手机端实现人体位姿估计
-
High-resolution networks (HRNets) for object detection, [Paper]
-
Learning Correspondence from the Cycle-Consistency of Time, CVPR 2019, [Paper]
-
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation, CVPR 2019, [Paper], [Project Page]
-
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry, CVPR 2018, [Paper]
-
Deep High-Resolution Representation Learning for Human Pose Estimation,CVPR 2019, [Paper], [Project Page]
-
PoseFlow: Efficient Online Pose Tracking), BMVC 2018, [Paper]
-
A Bottom-Up Clustering Approach to Unsupervised Person Re-identification,AAAI 2019, 重定位
-
Fast Online Object Tracking and Segmentation: A Unifying Approach,CVPR 2019,[Paper] [Video] [Project Page]
-
SimpleDet - A Simple and Versatile Framework for Object Detection and Instance Recognition,[Paper]
-
SCDA: Adapting Object Detectors via Selective Cross-Domain Alignment,CVPR 2019, [Paper], [Project Page]
-
Learning Single-Image Depth from Videos using Quality Assessment Networks,CVPR 2019, [Paper], [Project Page]
-
Learning monocular depth estimation infusing traditional stereo knowledge,CVPR 2019,[PDF]
-
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds,CVPR 2019,[Paper]
-
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching,CVPR 2019,[Paper]
-
DPSNet: End-to-end Deep Plane Sweep Stereo,ICLR 2019,[Paper]
-
Fast Depth Densification for Occlusion-aware Augmented Reality, SIGGRAPH-Asia 2018, [Project Page],another version
-
Learning To Adapt For Stereo, CVPR 2019, [Paper]
-
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, [Paper]
-
Sparse Depth Completion, [Paper], RGB图像辅助雷达深度估计
-
MVSNet: Depth Inference for Unstructured Multi-view Stereo, [Paper], 非官方实现版本的MVSNet
-
Stereo R-CNN based 3D Object Detection for Autonomous Driving, CVPR 2019, [Paper]
-
Real-time self-adaptive deep stereo, CVPR 2019, [Paper]
-
High Quality Monocular Depth Estimation via Transfer Learning,CVPR 2019, [Paper], [Project Page]
-
Group-wise Correlation Stereo Network,CVPR 2019, [Paper]
-
DeepMVS: Learning Multi-View Stereopsis, CVPR 2018,[Project Page],多目深度估计
-
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks, CVPR 2017, 深度学习光流恢复
-
StereoVision-ADCensus,深度恢复代码集合(ADCensus, SGBM, BM)
-
SegStereo: Exploiting Semantic Information for Disparity Estimation, 探究语义信息在深度估计中的作用
-
Light Filed Depth Estimation using GAN,利用GAN进行光场深度恢复
-
EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras,Proceedings of Robotics 2018,[Paper]
-
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency, ECCV 2018, [Paper]
-
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose, CVPR 2018, [Paper]
-
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals, [Paper]
-
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding,CVPR 2019, [Paper], 单目3D重建
-
HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation,CVPR 2019, [Paper], 深度学习全景转3D
-
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes,SIGGRAPH Asia 2018, [Project Page]
-
End-to-end Adversarial Learning for Generative Conversational Agents,2017,介绍了一种端到端的基于GAN的聊天机器人
-
Residual Non-local Attention Networks for Image Restoration,ICLR 2019.
-
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis, CVPR 2019,[Paper]
-
SPADE: Semantic Image Synthesis with Spatially-Adaptive Normalization,CVPR 2019, [Project Page]
-
Deep-Learning-Coursera,深度学习教程(deeplearning.ai)
-
A Julia machine learning framework,一种基于Julia的机器学习框架
-
Event-based Vision Resources,关于事件相机的资源
-
AutonomousVehiclePaper,无人驾驶相关论文速递
-
Segmentation.X, Segmentation相关论文&代码
-
CVPR-2019, CVPR 2019 论文开源项目合集
-
awesome-slam, SLAM合集
-
awesome-visual-slam, 视觉SLAM合集
-
Papers with code, 周更论文with代码
-
Awesome Semantic Segmentation, 语义分割集合
-
IROS2018 SLAM Collections, IROS 2018集合
-
VP-SLAM-SC-papers,Visual Positioning & SLAM & Spatial Cognition 论文统计与分析
-
Machine-Learning-With-Python, 《机器学习实战》python代码实现
-
How to learn robotics, 开源机器人学学习指南
-
Awesome Deep Vision,DL在CV领域的应用
-
Single-Image-Super-Resolution, 一个有关图像超分辨的合集
-
ai report, AI相关的研究报告
-
State-of-the-art papers and code,搜集了目前sota的论文以及代码
-
A curated list of papers & resources linked to 3D reconstruction from images,有关三维重建的论文汇总
-
SLAM-Jobs, SLAM/SFM求职指南
-
awesome-reinforcement-learning-zh,强化学习从入门到放弃的资料
-
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels,CVPR 2019,超分辨
-
Cool Fashion Papers, Cool resources about Fashion + AI.
-
Deep Flow-Guided Video Inpainting,CVPR 2019, [Paper] ,图像修复
-
LPRNet: License Plate Recognition via Deep Neural Networks, [Paper]
-
CHINESE-OCR, 运用tf实现自然场景文字检测
-
BeautyCamera, 美颜相机,具有人脸检测、磨皮美白人脸、滤镜、调节图片、摄像功能
-
CV-arXiv-Daily, 分享计算机视觉每天的arXiv文章
-
Pluralistic-Inpainting, ArXiv | Project Page | Online Demo | Video(demo)
-
An Interactive Introduction to Fourier Transforms, 超棒的傅里叶变换图形化解释
-
pumpkin-book, 《机器学习》(西瓜书)公式推导解析