-
Fondazione Bruno Kessler
- Trento
-
09:11
(UTC -12:00) - https://gfmei.github.io
- @CvGfmei
- https://scholar.google.com/citations?user=VsmIGqsAAAAJ&hl=en
Stars
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Numpy implementation of Hilbert curves in arbitrary dimensions
List of Algorithms
Segmentator for clustering on meshes or pointclouds
This repository contains demos I made with the Transformers library by HuggingFace.
The code of point cloud cluster for 3D representation learning
Python implementation of Efficient Graph-Based Image Segmentation
gfmei / GML2023
Forked from xbresson/GML2023Graph Machine Learning course, Xavier Bresson, 2023
Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification
gfmei / LLMs-from-scratch
Forked from rasbt/LLMs-from-scratchImplementing a ChatGPT-like LLM from scratch, step by step
gfmei / IMFNet
Forked from XiaoshuiHuang/IMFNet[IEEE RAL 2022] IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions
Refine high-quality datasets and visual AI models
Unsupervised Point Cloud Pre-training via Contrasting and Clustering
Stable Diffusion in NCNN with c++, supported txt2img and img2img
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Overlap-guided Gaussian Mixture Models for Point Cloud Registration
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"