Pinned Repositories
3D-point-capsule-networks
3D Point Capsule Networks
Android
Mobile software development experiment
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
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)
DHGCN
[AAAI 2024] The official implementation of DHGCN
MAE3D
[IEEE TMM] The official implementation of MAE3D
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。
OpenGL-Vase
花瓶的绘制及纹理渲染
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
trash_classify
响应习大大的号召,进行垃圾分类。基于OpenCV和TensorFlow的生活垃圾图像分类识别。
Jinec98's Repositories
Jinec98/trash_classify
响应习大大的号召,进行垃圾分类。基于OpenCV和TensorFlow的生活垃圾图像分类识别。
Jinec98/MAE3D
[IEEE TMM] The official implementation of MAE3D
Jinec98/DHGCN
[AAAI 2024] The official implementation of DHGCN
Jinec98/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
Jinec98/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。
Jinec98/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
Jinec98/Android
Mobile software development experiment
Jinec98/OpenGL-Vase
花瓶的绘制及纹理渲染
Jinec98/3D-point-capsule-networks
3D Point Capsule Networks
Jinec98/3PU
Patch-base progressive 3D Point Set Upsampling
Jinec98/chamferdist
Pytorch package to compute Chamfer distance between point sets (pointclouds).
Jinec98/DG-PIC
[ECCV24] The official implementation of DG-PIC
Jinec98/dgcnn
Jinec98/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Jinec98/Evision
计算机视觉实践和探索/Practice and explorations in computer vision.
Jinec98/GuidedDenoising
Guided Mesh Normal Filtering
Jinec98/Jinec98
Config files for my GitHub profile.
Jinec98/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Jinec98/Mario_Adventure
A Mario game by Qt.
Jinec98/OpenGL-Free-ball
小球的自由落体动画
Jinec98/PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Jinec98/Point-In-Context
Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
Jinec98/PointCloudDatasets
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
Jinec98/PointContrast
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
Jinec98/PointGLR
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Jinec98/PU-Net
PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)
Jinec98/RSCNN_Pytorch1.0
Relation-Shape-CNN for Pytorch 1.0
Jinec98/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
Jinec98/torch_kmeans
PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.
Jinec98/votenet
Deep Hough Voting for 3D Object Detection in Point Clouds