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Name: JLQ
Type: User
Name: JLQ
Type: User
PyTorch implementation of spectral graph ConvNets, NIPS’16
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
(NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Single Shot MultiBox Detector in TensorFlow
A PyTorch Implementation of Single Shot MultiBox Detector
Benchmarks for semi-supervised domain generalization.
Paper and Codes for “Embracing Single Stride 3D Object Detector with Sparse Transformer”
[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
(CVPR 2021) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
[CoRL 2022] Multi Robot Scene Completion
Stereo based 3D object detection on KITTI dataset using Pytorch implementing the Pseudo LIDAR pipeline with papers: AnyNet & PointPillars & SFA3D
Using Stereo-RCNN
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation
3D Point Cloud Annotation Platform for Autonomous Driving
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network
DeepLabv3+ built in TensorFlow
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
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.