Ziming Wu (jimmy-ng)

jimmy-ng

Geek Repo

Company:The Hong Kong University of Science and Technology

Location:Hong Kong

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Ziming Wu's repositories

happy_project

Mining happy behaviours using deep learning

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ACACTS

A simple realization of the paper Automatic Content-Aware Color and Tone Stylization

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arcolorbalancing

Fast and Stable Color Balancing for Images and Augmented Reality

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bag-of-colors

Bag of colors implementation as in the paper ACM MM 2011 from Wengert et al.

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caffe-cnn-triplet

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

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ColorEn

This is a implementation of "example-based image color and tone style enhancement"(SIGGRAPH-2011)

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colour-transfer

Colour transfer algorithms for grading the colours of an image

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data_driven_modeling_2016

Codes and presentations for Data Driven Modeling course at ETH Zurich, chair for Computer Aided Architectural Design (CAAD)

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deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

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facegen

Generating faces with deconvolution networks

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FaceVerification

An Experimental Implementation of Face Verification, 96.8% on LFW.

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gencolormap

generate color maps for visualization from intuitive parameters

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jimmy-ng.github.com

Jimmy's homepage

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kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow

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MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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mxnet-face

Using mxnet for face-related algorithm.

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NormFace

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

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RealismCNN

code for predicting and improving visual realism in composite images

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Sentiment-Analysis-Twitter

:mortar_board:RESEARCH:smirk_cat: [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter. :thumbsup:

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snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

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SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

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TinyColor

Fast, small color manipulation and conversion for JavaScript

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tripletloss

tripletloss in caffe

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VremiereDemo

Binary demo of paper "Vremiere: In-headset Virtual Reality Video Editing"

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