Xiaogang Xu (xiaogang00)

xiaogang00

User data from Github https://github.com/xiaogang00

Company:The Chinese University of Hong Kong

Location:Hong Kong

GitHub:@xiaogang00

Xiaogang Xu's repositories

SMG-LLIE

This is the source code for CVPR paper "Low-Light Image Enhancement via Structure Modeling and Guidance"

MTFormer

This is the source code for the ECCV paper "MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning"

white-paper-for-large-model-security-and-privacy

The white paper which discusses the security and privacy problems of large models.

DP3DF

The implementation of DP3DF

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Text-Human-Image-Manipulation

The code for TPAMI paper "Text-Guided Human Image Manipulation via Image-Text Shared Space"

UADA

This is a pytorch project for the paper Universal Adaptive Data Augmentation (IJCAI2023).

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AAAI-Scene-Graph-to-Image

This is the pytorch implementation for AAAI2022 paper "Hierarchical Image Generation via Transformer-Based Sequential Patch Selection"

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ACT-VAE

The code for the paper "Conditional Temporal Variational AutoEncoder for Action Video Prediction“

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GPU-CUDA

Learn the technology of CUDA and GPU Programming. The main is learn from the book of "CUDA Programming: A Developer's Guide to Parallel Computing with GPUS"

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DAI2I

This is the repository for CVPR paper "Domain Adaptive Image-to-image Translation"

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CCIR

This is match for The 23rd China Conference on Information Retrieval, The title for this match is "chapter sorting based on intelligent questions and answers"

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Deep-learning-on-Tensorflow

Some try on the tensorflow to deal with the problem of deep learning

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Probability-Graph-Model

The notes when I learn the aspect of probability graph model

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TCM-Medical-AI

This is solution for the match which is hosted by TIAN CHI. Tha main idea is to use AI(Deep learning) to analysis the CT medical images.

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Adversarial_Distribution_Alignment

The project for General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments.

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Algorithms

主要是我在学习算法课程时的一些笔记与代码,参考书籍为:1.Introduction to Algorithms (3rd) 2.Introduction to the Design and Analysis of Algorithms 3rd Edition

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Deep-Learning

I will put my learning process of deep learning into repository which mainly about the computer vision and data mining

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Hadoop

The practice and learn for Hadoop

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PVDD

The code and dataset for the paper "PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes"

few-shot-vid2vid

Pytorch implementation for few-shot photorealistic video-to-video translation.

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huggingface-php

inference.huggingface

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learn-for-JavaScript

This is some note and code when I learn JavaScript

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Learn-Mxnet

The main target is to learn how to use the framework of Mxnet on python, matlab and R. The code when I learn will be push.

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Leetcode

The code when I practice on Leetcode

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PRML

Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning"

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R-and-machine-learning

There are some R codes about machine learning or others

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