Directional PointNet: 3D Environmental Classification for Wearable Robots
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Updated
Aug 7, 2019 - Python
Directional PointNet: 3D Environmental Classification for Wearable Robots
Official code of paper "Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification" (MM'2020)
PyTorch implementation of SimpleView from "Revisiting Point Cloud Classification with a Simple and Effective Baseline", Goyal et al. (2020)
Point cloud classification demo in BinderHub
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
SE-PseudoGrid for the AutoCon journal paper.
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
A list of papers and datasets about point cloud analysis (processing)
[ICRA 2023] ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding.
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
Implementation of point transformer for point cloud classification and segmentation
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
This repository contains my paper reviews, solutions and code submissions for projects completed as part of CMSC848F during Fall 2023. Each project is organized in its own folder, with accompanying documentation and any necessary resources.
DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm
3D modeling of urban forests based on LiDAR point clouds
Deep Learning based 3D Point Cloud Classification
MMSP 2023, PCS 2024
This repository refers to my master's thesis in the Data Science at Sapienza University. The objective is to build a model in order to perform the task of 3D fragment matching. Given two 3D scans of fragments, the model must predict whether they are adjacent or not.
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
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