Qi Cui (TracyCuiq)

TracyCuiq

Geek Repo

Company:Nanyang Technological University

Location:Singapore

Home Page:https://www.researchgate.net/profile/Qi_Cui3

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Qi Cui's repositories

S-UNIWARD-python

An implementation of S-UNIWARD steganography in python

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Learning-Image-Steganography

List for learning image steganography

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Hill-python

Hill steganography in python

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DCNN_NI_CG_Forensic

Convert the original Caffe version to Pytorch version

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Image_Segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

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boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

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CNNIQA

CVPR2014-Convolutional neural networks for no-reference image quality assessment

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design-patterns-for-humans-cn

🎉 Design patterns for humans 中文机翻版

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image-quality-assessment-python

Python code to compute features of classic Image Quality Assessment models

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MUNIT

Multimodal Unsupervised Image-to-Image Translation

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PlotNeuralNet

Latex code for making neural networks diagrams

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pySTC

A Python interface for Syndrome Trellis Codes Steganography

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PythonUtils

Simple Utils programs using Python

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Pytorch-implementation-of-SRNet

A pytorch implementation of Deep Residual Network for Steganalysis of Digital Images (SRNet)

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pytorchviz

A small package to create visualizations of PyTorch execution graphs

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ResNeXt.pytorch

Reproduces ResNet-V3 with pytorch

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SiaStegNet

A Siamese CNN for Image Steganalysis

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stable_signature

Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"

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StegaStamp_pytorch

StegaStamp of pytorch version

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tf-encrypted

Layer on top of TensorFlow for doing machine learning on encrypted data

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UT-GAN

Unofficial Pytorch version of J. Yang, D. Ruan, J. Huang, X. Kang and Y. Shi, "An Embedding Cost Learning Framework Using GAN," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 839-851, 2020.

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