Xu Jun (csjunxu)

csjunxu

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

Company:NKU

Location:Tianjin, China

Home Page:https://csjunxu.github.io/

GitHub:@csjunxu

Xu Jun's repositories

MCWNNM-ICCV2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

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TWSC-ECCV2018

Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".

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STAR-TIP2020

Matlab code for STAR: A Structure and Texture Aware Retinex Model, TIP 2020.

Guided-Image-Denoising-TIP2018

External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Transactions on Image Processing, 2018.

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PGPD-ICCV2015

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV, 2015.

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SSRSC

Matlab code for "Scaled Simplex Representation for Subspace Clustering (SSRSC)"

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NSCR

Codes for NRC and JNSCR

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RetinexNet

A Tensorflow implementation of RetinexNet

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image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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AdvancedEAST

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

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ATSS

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

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CRAFT-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

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CVPR2020-Figures

Figures of our CVPR2020 submissions

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Deep-SR-ITM

Official repository of Deep SR-ITM (oral at ICCV 2019)

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edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCVW 2019 https://arxiv.org/abs/1901.00212

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Fast-Training-of-Convolutional-Networks-through-FFTs

Implementation of the paper - Fast Training of Convolutional Networks through FFTs (CUDA for parallelization)

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InGAN

Official code for the paper "InGAN: Capturing and Retargeting the DNA of a Natural Image"

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KinD

Kindling the Darkness: a Practical Low-light Image Enhancer

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ModelArts-Lab

ModelArts开发者交流互动平台,@ModelArts服务官网:https://www.huaweicloud.com/product/modelarts.html

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network-slimming

Network Slimming (Pytorch) (ICCV 2017)

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PNLS

Non-local Image Smoothing with Objective Evaluation

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Seeing-Motion-in-the-Dark

Seeing Motion in the Dark. ICCV19

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slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

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Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

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surface-defect-detection

缺陷检测文献记录

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ZS3

Zero-Shot Semantic Segmentation

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