jlqzzz Goto Github PK
Name: JLQ
Type: User
Name: JLQ
Type: User
Official Tensorflow implementation of SilhoNet
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
[AAAI 2021] Official Implementation of "SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations"
Official Codes for "SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification"
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Simple and easy to follow point cloud and bounding box visualizations for kitti data. The only dependencies are OpenCV and Numpy. Create re-projections onto images and 3 different views of a point-cloud with a black background (birds eye view, first person view, third person view).
A Simple Baseline for BEV Perception
simple visualization scripts for Kitti and Semantic Kitti dataset
A simple 3D & BEV visualizer for point clouds and 3D boxes.
A Simple and Versatile Framework for Object Detection and Instance Recognition
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
Code release for SLIP Self-supervision meets Language-Image Pre-training
(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
Fusion LiDAR & Stereo
[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
Semi-Supervised Learning, Object Detection, ICCV2021
Deep Learning for 3D Point Clouds
[IJCAI 2022] Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds (official pytorch implementation)
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. 1st place on KITTI.
Submanifold sparse convolutional networks
End-to-End Object Detection with Learnable Proposal, CVPR2021
🐝Tensorflow Implementation of Spatial Transformer Networks
PyTorch implementation of residual gated graph ConvNets, ICLR’18
Official implementation of SpatialDETR. The paper will be presented at ECCV 2022
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
Spatial Sparse Convolution in PyTorch
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.