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Name: Lei He
Type: User
Bio: Lei is currently a PhD candidate from CASIA. His research interests include computer vision, machine learning, and pattern recognition.
Name: Lei He
Type: User
Bio: Lei is currently a PhD candidate from CASIA. His research interests include computer vision, machine learning, and pattern recognition.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
The classical papers and codes about generative adversarial nets
awesome-semantic-segmentation
Caffe: a fast open framework for deep learning.
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
自动化所硕博论文模板
README and scripts for the Cityscapes Dataset
COCO Json converter python script for DAVIS 2016
Implement Coupled Generative Adversarial Networks in Tensorflow
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
CUDA Random Forest implementation for Image Labeling tasks
Api for visualize sample data, evaluation of different tasks
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练
DenseNet Implementation in Tensorflow
Depth estimation from single images
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Code for DSAC (Differentiable RANSAC) for Camera Localization, CVPR 17
DualGAN-tensorflow: tensorflow implementation of DualGAN
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
gvnn: Geometric Vision with Neural Networks
code for Holistically-Nested Edge Detection
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Implemention of lanenet model for real time lane detection using deep neural network model
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
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.