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𝗛𝗲𝗹𝗹𝗼!

I'm Lu Li (李璐)! A postgraduate student at Beijing Institute of Technology (BIT).

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🍜 About

🌱 Languages&Tool I use:

C++ C Python VSCode QT MySQL

Lu Li 's Projects

bank_interview icon bank_interview

:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)

blind_iqa_contrast icon blind_iqa_contrast

This repo compiles various blind image quality acessment methods focused on contrast evaluation. Only code that works in Python or Octave.

ceiq icon ceiq

:art: Code for "No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement" by J. Yan, J. Li, X. Fu

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

eclnet icon eclnet

ACMMM 2022 (Official Implementation of "Exposure-Consistency Representation Learning for Exposure Correction")

flatnet icon flatnet

This is the official pytorch code repo for the ICCV 2019 paper Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images and the TPAMI 2020 paper FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements

hep icon hep

Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”

lilubit icon lilubit

Config files for my GitHub profile.

megspot icon megspot

MegSpot是一款高效、专业、跨平台的图片&视频对比应用

mf-lime icon mf-lime

基于Retinex模型和多尺度融合的低光照图像增强技术 Low-light image enhancement technology based on Retinex model and multi-scale fusion

retinexformer icon retinexformer

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023)

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