loijilai
Hi, I am a member of the Communication and Multimedia Laboratory (CMLab) at NTU. My research focuses on multimedia security and privacy.
loijilai's Stars
spamegg1/reviews
Reviewing some online CS courses I took
1devm0/Dodgy-3quares
GMTK Game Jam 2023
xuanyuzhang21/EditGuard
[CVPR 2024🔥] EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
amusi/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
and-mill/Awesome-GenAI-Watermarking
A curated list of watermarking schemes for generative AI models
52CV/CVPR-2024-Papers
practical-tutorials/project-based-learning
Curated list of project-based tutorials
remzi-arpacidusseau/ostep-homework
remzi-arpacidusseau/ostep-projects
Projects for an undergraduate OS course
LMMS/lmms
Cross-platform music production software
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
joe0123/SPML2021
Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)
clpeng/Awesome-Face-Forgery-Generation-and-Detection
A curated list of articles and codes related to face forgery generation and detection.
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
thinwayliu/Watermark-Vaccine
The code for ECCV2022 (Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal)
toeverything/AFFiNE
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
jackfrued/Python-100-Days
Python - 100天从新手到大师
NVIDIA/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
nolliechyTW/WIL
WIL is like my personal diary, where I jot down all the exciting things I've learned on my journey as a computer science enthusiast! 📝💻
kkbruce/reverse-interview-zh-Hant
面試背後的面試繁體中文翻譯
Trustworthy-AI-Group/TransferAttack
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
kenlina/system_programming
stas00/ml-engineering
Machine Learning Engineering Open Book
LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention
This repo is implementation for Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules in pytorch.
tongxyh/ImageCompression_Adversarial
Official Implementation of the TCSVT2023 paper: "Towards Robust Neural Image Compression: Adversarial Attack and Finetuning"
Mes0903/Cpp-Miner
NourozR/Reconstruction-and-Compression-of-Color-Images
Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm
vivekrmk/Image-Compression-Principal-Component-Analysis-Pytorch
In this tutorial we can use the Pytorchs efficient PCA implementation for performing data compression by retaining essential features of an Image. With the result of the PCA tensor, we also try to reconstruct the original Image.
MahmoudAshraf97/AutoencoderCompression
Learned Image Compression Using Autoencoder Architecture
abskj/lossy-image-compression
Image Compression using CNN based Autoencoders