Pinned Repositories
2SeaColor
Two-stream remote sensing model for water quality mapping: 2SeaColor
3d-forest-classic
software for analysis of Lidar data from forest environment.
3D-Machine-Learning
A resource repository for 3D machine learning
3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
3DCTN
[TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
AdQSM
AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial Laser Scanning (TLS) point clouds. Many attributes of the trunk or branch can also be quantitatively calculated (as shown in the table below). For example, tree volume (trunk and branch), DBH and tree height parameters can be extracted directly. It allows point clouds collected by different sensors to serve as input point clouds. In addition to TLS, UAV LiDAR, mobile LiDAR, SLAM and even photogrammetry are also included under the premise of appropriate point cloud density.
agile_autonomy
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
agile_flight
Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight
AgriITSC
Prototype-based method for agricultural image time series classification.
SFM-Visual-SLAM
winterchaufr's Repositories
winterchaufr/3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
winterchaufr/ai-research-assistant
Aria is Your AI Research Assistant Powered by Large Language Models
winterchaufr/AnimatedDrawings
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
winterchaufr/anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
winterchaufr/artemis_treeiso
TLS tree isolation/segmentation code
winterchaufr/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
winterchaufr/awesome-segment-anything-extensions
Segment-anything related awesome extensions/projects/repos.
winterchaufr/FLAIR-1-AI-Challenge
Baseline of the first IGN AI challenge, FLAIR #1
winterchaufr/gee-ccdc-tools
Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm
winterchaufr/hdbscan
A high performance implementation of HDBSCAN clustering.
winterchaufr/helios-1
winterchaufr/ISBNet
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
winterchaufr/LSKNet
(ICCV 2023) Large Selective Kernel Network for Remote Sensing Object Detection
winterchaufr/mlhub-tutorials
Tutorials to access Radiant MLHub Training Datasets
winterchaufr/pc-skeletor
Skeletonization of 3D Point Clouds
winterchaufr/Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
winterchaufr/pointnerf
Point-NeRF: Point-based Neural Radiance Fields
winterchaufr/Prompt-Segment-Anything
This is an implementation of zero-shot instance segmentation using Segment Anything.
winterchaufr/sam-mmrotate
SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.
winterchaufr/Satellite-Image-Time-Series-Datasets
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.
winterchaufr/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
winterchaufr/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
winterchaufr/Segment-Anything-NeRF
Segment-anything interactively in NeRF.
winterchaufr/segment-geospatial
Meta AI's Segment Anything Model (SAM) for Geospatial Data
winterchaufr/SegmentAnything3D
SAM-3D: A toolbox transfers 2D SAM segments into 3D scene-level point clouds.
winterchaufr/SegmentAnythingin3D
Segment Anything in 3D with NeRFs
winterchaufr/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
winterchaufr/sepal-doc
Documentation of the SEPAL platform (https://sepal.io)
winterchaufr/TreeLearn
winterchaufr/yolact
A simple, fully convolutional model for real-time instance segmentation.