A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
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May 14, 2026 - Python
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A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
deep-neural-networks deep-learning data-driven cfd openfoam fluid-dynamics meshes computational-fluid-dynamics fluid-simulation 3d-geometry aerodynamics surrogate-modelling surrogate-models graph-neural-networks dgcnn large-scale-dataset parametric-design generative-ai car-design drivaer
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
point-cloud 3d-vision simpleview sota pointnet pointnet2 point-cloud-processing dgcnn point-cloud-classification modelnet-dataset modelnet40 icml-2021 rscnn scanobjectnn
[BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
deep-learning point-cloud pytorch defense 3d-reconstruction adversarial-machine-learning pointnet pointnet2 dgcnn pointconv implicit-representions rs-cnn 3d-attack
支持百度竞赛数据的中文事件抽取,支持ace2005数据的英文事件抽取,本人将苏神的三元组抽取算法中的DGCNN改成了事件抽取任务,并将karas改成了本人习惯使用的pytorch,在数据加载处考虑了各种语言的扩展
Dilate Gated Convolutional Neural Network For Machine Reading Comprehension
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
deep-neural-networks deep-learning graphical-models attention-mechanism paper-implementations graph-embedding graph-classification graph-signals dgcnn gnn graph-convolutions
Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE
computer-vision deep-learning point-cloud spherical-harmonics frequency-analysis pointnet adversarial-attacks pointnet2 dgcnn 3d-attack
PLEASE USE THE NEW REPO https://github.com/salehjg/DeepPoint-V2-FPGA . The deprecated in-order-queue-based repository for "DGCNN on FPGA: Acceleration of The Point CloudClassifier Using FPGAs".
This repository contains the code to train a custom DGCNN segmentation model on 3D point cloud data and carry out post-processing to filter these point clouds from the k-regular graphs produced by the model.
PyTorch pipeline for 3D tooth segmentation from intraoral scans, using DGCNN with reproducible training and evaluation on Teeth3DS.
computer-vision pytorch medical-imaging semantic-segmentation 3d-segmentation point-cloud-segmentation dgcnn tooth-segmentation dental-ai teeth3ds
AI-assisted orthodontic treatment planning pipeline for clear aligners with dual-agent deep learning and 4D staging simulation.
api pipeline simulation saas medical-imaging biomechanics segmentation orthodontics landmark-detection treatment-planning multi-agent-system open-core dgcnn clinical-ai dental-ai clear-aligners
Codes for the Point Cloud Analysis Project (IPL Lab, Sharif UT)
Code for our article "Sparse Keypoint Segmentation of Lung Fissures: Efficient Geometric Deep Learning for Abstracting Volumetric Images"
point-cloud segmentation keypoints graph-convolutional-networks medical-image-processing lung-segmentation lung pointnet geometric-deep-learning dgcnn point-transformer medical-deep-learning
3D point cloud classification on ModelNet40: PointNet, DGCNN and a hybrid attention-fusion model from scratch, 85.5% test accuracy
computer-vision deep-learning point-cloud pytorch neural-networks attention-mechanism from-scratch 3d-deep-learning pointnet geometric-deep-learning dgcnn modelnet40
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