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Name: xiaofei zhang
Type: User
Bio: Computer vision learner
Name: xiaofei zhang
Type: User
Bio: Computer vision learner
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
The model architecture of AS-GCN (for human action recognition)
Implementing Attention Augmented Convolutional Networks using Pytorch
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
算法工程师(人工智能CV方向)面试问题及相关资料
:punch: CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module
This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
A selection of state-of-the-art research materials on trajectory prediction
Papers and resources collection about pedestrian behavior estimation
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Reimplementing SOTA convolution variants with Tensorflow 2.0.
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
A simple simulator for pedestrian interactions. The main idea is to implement this paper (http://motion.cs.umn.edu/PowerLaw/) and compare it to other energy based methods. Requires Python 3
CV岗常见面试题(欢迎大家补充!!!)
CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!
CV 论文笔记
CVPR 2022 论文和开源项目合集
Daily arxiv notification with pre-defined keywords
The ApolloScape Open Dataset for Autonomous Driving and its Application.
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
FcaNet: Frequency Channel Attention Networks
Official code for our NeurIPS 2021 Spotlight "Focal Self-attention for Local-Global Interactions in Vision Transformers"
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
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.