GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
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Updated
May 22, 2024 - Python
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
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.
MMSP 2023, PCS 2024
Deep Learning based 3D Point Cloud Classification
3D modeling of urban forests based on LiDAR point clouds
DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm
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.
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Implementation of point transformer for point cloud classification and segmentation
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
[ICRA 2023] ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding.
A list of papers and datasets about point cloud analysis (processing)
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
SE-PseudoGrid for the AutoCon journal paper.
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
Point cloud classification demo in BinderHub
PyTorch implementation of SimpleView from "Revisiting Point Cloud Classification with a Simple and Effective Baseline", Goyal et al. (2020)
Official code of paper "Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification" (MM'2020)
Directional PointNet: 3D Environmental Classification for Wearable Robots
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