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Name: Pingping Zhang
Type: User
Bio: Associate Professor of Dalian University of Technology
Location: Dalian,Liaoning,China
Name: Pingping Zhang
Type: User
Bio: Associate Professor of Dalian University of Technology
Location: Dalian,Liaoning,China
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
caffe for Similarity Learning
YOLO (Real-Time Object Detection) in caffe
Caffe for 3D organ localization in CT image
3D Semantic Scene Completion
Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)
This is the project of the paper "Conditional Feature Coupling Network for Multi-Person Clothing Parsing" (PCM2018). The test code is coming soon in Pytorch
Multiple closed-form local metric learning for KNN
CFNN: Correlation Filter Neutral Network for Visual Object Tracking
CGNet: A Light-weight Context Guided Network for Semantic Segmentation
Channel Pruning for Accelerating Very Deep Neural Networks
README and scripts for the Cityscapes Dataset
Convolutional (Patch) Networks for Semantic Segmentation
Benchmarks for popular CNN models
Source code for Kristiadi and Pranowo, 2017's "Deep Convolutional Level Set Method for Image Segmentation"
The official homepage of the COCO-Stuff 10K dataset.
Implementation for CODA
MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added
Source code of paper: Competitive Inner-Imaging Squeeze and Excitation for Residual Network
accepted by ACML2017
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
CReLU (Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units) with Caffe
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/
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
Single Image Crowd Counting via MCNN (Unofficial Implementation)
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.