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👋 Hi there, I’m Jinec

  • 🌱 I’m currently focusing on 3D Vision, Computer Graphics.
  • 👀 This is my homepage. Come in and have a look :)
  • 💬 I have conducted some works in point cloud deep learning, if you have any good ideas, feel free to chat with me.
  • 🤔 I will release my work to the community at the appropriate time.

Jinec's Projects

3pu icon 3pu

Patch-base progressive 3D Point Set Upsampling

android icon android

Mobile software development experiment

chamferdist icon chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

clear_fruit icon clear_fruit

[算法设计与分析综合实训] 水果消消乐 动态消除并自动下落 by Qt

deep_learning-computervision icon deep_learning-computervision

一些深度学习的模型,基于TensorFlow,主要是卷积神经网络,完成计算机视觉中一些分类、检测、识别、图像处理等部分(之前的被我不小心删除了)

dgcnn.pytorch icon dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

dhgcn icon dhgcn

[AAAI 2024] The official implementation of DHGCN

evision icon evision

计算机视觉实践和探索/Practice and explorations in computer vision.

five_son_chess icon five_son_chess

[Windows程序设计实验]五子棋-可实现悔棋、求和、认输、复盘等功能

jinec98 icon jinec98

Config files for my GitHub profile.

mae-pytorch icon mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mae3d icon mae3d

[IEEE TMM] The official implementation of MAE3D

minic_compiler icon minic_compiler

运用JavaCC实现Minic编译器,能够实现if-else、while、do-while、for、switch-case、布尔表达式等语句的翻译,并能生成参数表和错误列表。

paconv icon paconv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

point-in-context icon point-in-context

Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding

pointclouddatasets icon pointclouddatasets

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

pointcontrast icon pointcontrast

Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>

pointglr icon pointglr

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

pu-net icon pu-net

PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

serach_path icon serach_path

迷宫寻路-[数据结构综合实训]BFS、DFS、A*三种算法,可寻找路径、逐步显示路径、保存路径 [面向对象综合实训]IDA*算法、用户交互生成迷宫、自动生成迷宫、“关于”界面、重写类结构

simutrans icon simutrans

[Windows程序设计]模拟十字路口红绿灯-可实现红绿灯交替,汽车左转、右转、直行,同一车道上的汽车不会碰撞,未实现多线程

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