Name: huanli
Type: User
Company: Xidian University
Bio: received master degree in school of computer science form the Xidian University, China, in 2018. Working in the Hikvision Research Institute.
Location: xian,shaanxi,china
huanli's Projects
Caffe: a fast open framework for deep learning.
Class Segmentation and Object Localization using superpixel neighbourhoods and crf
cnpy lib,to read .npy file fastly
:books: Solutions for C++ Primer 5th exercise answers.
Conditional random fields package for images
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/
CRF-RNN Keras/Tensorflow version
CRF++: Yet Another CRF toolkit
Working copy of Deeplab repository
Deep Learning Book Chinese Translation
a fork of the densecrf package implementing alternative inference scheme
densecrf modified to generate lib for superpixel-crf
Dense CRF for multiclass video labelling
Fast R-CNN
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
from fcn.npy[n*m] to generate pixel label
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
gSLICr: Real-time super-pixel segmentation
ImageSpirit Project for SIGGRAPH 2015 demo, ACM TOG 2014 "ImageSpirit: Verbal Guided Image Parsing". CVPR 2014 "Dense Semantic Image Segmentation with Objects and Attributes"
2nd place solution for Avazu click-through rate prediction competition
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
R code for Kaggle's Walmart Recruiting - Store Sales Forecasting