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Hi there 👋 I am Zhenghao Ji(吉政豪).

🔭 I’m currently studying at Fudan University, Shanghai, China.

🌱 I’m currently learning computer vision, deep learning.

👯 I’m going to have an internship in Megvii Research Lab Shanghai this summer@2021Summer, Shanghai, China.

👯 I’m happy to join Sensetime as Large Model R&D Engineer in basemodel group of Sensetime Reseach Lab@2022 Spring, Shanghai, China.

👯 I’m a Full-time Reseacher @Large Model in Basemodel group of Sensetime Reseach Lab@2022-2023, Shanghai, China.

⚡ Interests in Object Detection Based on DETR and Backbone Designing Based on CNN&SelfAttn.

📫 How to contact me: [email protected]

📫 How to contact me: [email protected]

Zhenghao Ji's Projects

2021-cv-surveys icon 2021-cv-surveys

2021 年,计算机视觉相关综述。包括目标检测、跟踪........

bilibili-helper icon bilibili-helper

B站,哔哩哔哩(Bilibili)自动签到投币工具,每天轻松获取65经验值,支持每日自动投币,银瓜子兑换硬币,领取大会员福利,大会员月底给自己充电等功能。呐!赶快和我一起成为Lv6吧!

dpnma icon dpnma

Dual Path Networks With Multi-scaleNon-local Attention for Crowd Counting

fds icon fds

All is from the summer course named Foundation of Data Science in 2019

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

mcccns icon mcccns

Multi-scale Crowd Counting Networks

mmnet icon mmnet

code for Multi-scale Matching Networks for Semantic Correspondence, ICCV

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

real-time-rendering-3rd-cn-summary-ebook icon real-time-rendering-3rd-cn-summary-ebook

:blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》,也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣,或者《Real-Time Rendering 4th》的前置阅读材料。

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