Name: Qingfu Wan
Type: User
Company: New York University; Fudan Univ.
Bio: Quant Finance, Machine Learning, Computer Vision, Deep Learning, Software Development, Maths
Location: New York, NY
Blog: https://scholar.google.com/citations?user=I0WxuwQAAAAJ&hl=en
Qingfu Wan's Projects
This is a group norm implementation of 3d heatmap with batch size = 1.
Bilinear Interpolation project
Brain information processing thesis
year 2012 c++ learning translate pascal->c++ code
This is the caffe reimplementation of "Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose".
Caffe: a fast open framework for deep learning.
caffe implement
Configure Caffe in one hour for Windows users.
This is currently an experimental refactoring of Caffe.
Caffe implementation of multiple popular object detection frameworks
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
computer network chatroom
CNN(Convolutional neural network) forward code which requires little dependency and is easy to run on Windows
Code repository for Convolutional Pose Machines, CVPR'16
Analyze news articles related to covid-19 based on different metrics.
Y86 Simulator (C#)
Range Tree with Fractional Cascading + 2-D/3-D segment tree + KD tree + quad tree + balanced tree
Code repository for Model-based Deep Hand Pose Estimation
The modified version of the released code of our IJCAI 2016 [paper](http://xingyizhou.xyz/zhou2016model.pdf) for estimating hand pose from depth image.
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Denoising Diffusion Probabilistic Models
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.
ARIMA
GARCH for FX rate volatility prediction
caffe implementation of Group Normalization https://arxiv.org/abs/1803.08494
Implementation of Compositional Pose Regression for ICCV2017 workshop Hands2017 Challenge.
This repository implements a demo of the Human pose estimation via Convolutional Part Heatmap Regression paper.
Iterative Error Feedback
This is a personal fun implementation of I1 (heatmap + integral loss) in Integral Regression. Trained only on H36M w/ 2-stage coarse to fine Hourglass. JUST FOR REFERENCE.
Integral Human Pose Regression