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The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
library for efficient processing of homography and bird's eye view
Blender render script for ShapeNet models
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Package for computing Continuous 3D Loss
Pytorch framework for supervised depth prediction
CARLA self-driving challenge, UM-VDL
Cloud-and-Learning compatible Automated vehicle Platform (Mirrored from Gitlab, please post issues to the Gitlab link)
Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)
Camera-to-IMU calibration and synchronization toolbox
Test the properties of CVO function on 2D point clouds in MATLAB.
Some utils for 3D object detection based on Numpy and Pytorch
Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Monocular depth estimation from a single image
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Efficient SE(3)-Equivariant Point Network
PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
EQ-4D-StOP in ICCV 2023 paper: 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"
GTSAM Tutorial Examples
from https://github.com/wvangansbeke/LaneDetection_End2End
from https://github.com/MaybeShewill-CV/lanenet-lane-detection
DSO with SIM(3) pose graph optimization and loop closure
Learning Depth from Monocular Videos using Direct Methods, CVPR 2018
Github Pages for my personal website
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.