Stars
Automatically create and renew website certificates for free using the Let's Encrypt certificate authority.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
[CVPR 2026 Highlight] LitePT: Lighter Yet Stronger Point Transformer
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Applied 3D geometry in C++, with a focus on surface meshes.
WebGL point cloud viewer for large datasets
Command line tools for processing ray clouds, together with an associated C++ library. Ray clouds are point clouds with sensor location included per point.
Qhull development for www.qhull.org -- Qhull 2020.2 (8.1-alpha1) at https://github.com/qhull/qhull/wiki
Manipulation and analysis of geometric objects
[CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambr…
[NeurIPS '25] Asymmetric Dual Self-Distillation (AsymDSD) for 3D representation learning
Cambridge Arboreal Modelling Panoptic 3D: Pipeline and Dataset
ReVanced YT and YT-M for both root and non-root users.
Remove attachment(s) when delete the item(s) or collection in Zotero and JurisM.
A family of header-only, very fast and memory-friendly hashmap and btree containers.
Official implementation of the ISPRS Journal of Photogrammetry and Remote Sensing paper: "Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds"
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A curated list of Computer Vision related conferences with dates and paper registration deadlines.
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
An efficient Python library for fast fixed-radius nearest neighbor search
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"
Implement efficient jacobian method available for most pytorch networks