-
Segments.ai
- Belgium
- https://tobiascornille.com
- @tobiascornille
Block or Report
Block or report segments-tobias
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model Conversion
[CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
The open-source tool for building high-quality datasets and computer vision models
pmndrs / meshline
Forked from spite/THREE.MeshLine🪱 Mesh replacement for THREE.Line
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
Convergent, Replicated SQLite. Multi-writer and CRDT support for SQLite
The reactive data store for local‑first apps.
Data-driven simulation for training and evaluating full-scale autonomous vehicles.
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.
A project for computing high-quality ground truth training examples for RGB-D data.
Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
A post processing library for three.js.
Automatically find issues in image datasets and practice data-centric computer vision.
🇨🇭 A React renderer for Three.js
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) fo…
Lens ( radial ) distortion pass for threejs postprocessing.
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
We extend Segment Anything to 3D perception by combining it with VoxelNeXt.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!