Ning Zhou (ningzhou)

ningzhou

Geek Repo

Company:Amazon

Location:Sunnyvale, CA

Home Page:https://sites.google.com/site/ningzhouhome/

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Ning Zhou's repositories

GOTURN

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

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2015_Face_Detection

Face detection. 2015CVPR Cascade CNNs for Face Detection

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caffe

Caffe: a fast open framework for deep learning.

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contextlocnet

ContextLocNet: Context-aware Deep Network Models for Weakly Supervised Localization

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darknet

Convolutional Neural Networks

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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deep-learning-traffic-lights

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

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deep-person-reid

Pytorch implementation of deep person re-identification models.

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dotfiles

Dot files for different tools

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Emacs

My Emacs Configuration

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HistogramLoss

This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)

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kdtree

Absolute balanced kdtree for fast kNN search.

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mac-setup

Scripts to set up a new mac

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matconvnet

MatConvNet: CNNs for MATLAB

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open-reid

Open source person re-identification library in python

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Person_reID_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss.

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person_search

End-to-End Deep Learning for Person Search

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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R-FCN

R-FCN: Object Detection via Region-based Fully Convolutional Networks

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RPN_BF

RPN+BF

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shutils

bash utilities for convenience

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sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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spencer_people_tracking

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

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SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

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tensorflow-models

Models and examples built with TensorFlow

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ubuntu-post-install

A set of post-installation shell scripts for Ubuntu

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