An ensemble of AI models that automates wildlife species classification in camera trap images using an object detector and a species classifier.

A multicamera calibration tool for 3D motion capture that estimates camera intrinsics and spatial positions to enable accurate 3D triangulation.

A Transformer-based model for encrypted network traffic classification that learns datagram contextual relationships through pre-training and fine-tuning.

An iOS app that uses AirPods' head tracking and local AI to provide real-time posture coaching and nudges to reduce neck strain.

LiteReality converts RGB-D scans from mobile devices into graphics-ready 3D scenes with physically-based rendering materials for high-fidelity reconstruction.

RELION is a software program for the Maximum A Posteriori refinement of 3D reconstructions and 2D class averages in cryo-electron microscopy.

A library for training and evaluating deep neural networks that extract and match local visual features, supporting state-of-the-art models like LightGlue and GlueStick.

A toolbox for holistic 3D mapping and structure from motion that jointly optimizes points, lines, planes, and parametric primitives for more accurate 3D reconstructions.

A high-performance Vulkan-based viewer and testbed for 3D Gaussian Splatting models, allowing users to compare rasterization, ray tracing, and hybrid rendering techniques.

An AI-powered image and video annotation tool that uses models like SAM2 and YOLO to provide semi-automated pre-labeling for computer vision datasets.

A 3D point cloud registration framework that uses flow matching to align multiple unposed scans into a common frame by treating registration as a conditional generation task.

A Zotero plugin that uses Tesseract OCR to add a searchable text layer to scanned PDFs within a Zotero library.

A framework for high-quality, large-scale 3D scene reconstruction using Gaussian Splatting, featuring multi-GPU support and geometrically accurate rendering.

A public research dataset providing cleaned motion-capture files, time-series biomechanics, and physical assessment metrics for baseball pitching and hitting.

A collection of machine learning and computer vision tools for the Vesuvius Challenge to virtually unwrap and read ancient Herculaneum scrolls from CT scans.

Stone Soup is a framework for the development and testing of target tracking and state estimation algorithms.

A privacy-focused Android application that uses Tesseract 5 to perform offline optical character recognition (OCR) in over 120 languages.

A unified PyTorch Lightning framework for training and evaluating a wide collection of state-of-the-art optical flow estimation models.

A local vision-based monitoring system that detects 3D print failures in real-time to automatically pause printers and alert users, avoiding wasted filament.

QuerySplat is a 3D Gaussian Splatting prediction framework that decouples geometry and appearance representations to improve the quality of 3D scene reconstructions from images.

A Java wrapper for popular computer vision and video processing libraries like OpenCV and FFmpeg, enabling high-performance image and video manipulation on Java and Android.

A Python library for facial detection and analysis that curates open-source models and packages them as portable torch.export models for efficient inference.

A lightweight 3D bounding box labeling tool for point clouds, used to generate training data for 3D object detection and 6D pose estimation.

A medical imaging solution accelerator that ingests and indexes DICOM files to enable SQL-based metadata analysis and AI-powered image segmentation using MONAI.

A high-performance GPU-accelerated camera application for real-time raw image processing and ISP pipelines, supporting a wide range of industrial cameras.

A cross-platform Rust library powered by ONNX Runtime for efficient inference of vision and vision-language models under 1B parameters.

A Python library for alpha matting that estimates the transparency of foreground objects using trimaps to enable precise background removal and composition.

Hypersim is a large synthetic indoor dataset (≈77 k HDR images, 1.9 TB) with per‑pixel geometry, semantics, and material channels, plus a V‑Ray‑based toolkit for generating and editing similar data. It’s designed for training and evaluating scene‑understanding models (depth, normals, segmentation, intrinsic image decomposition) and includes a ready‑made train/val/test split.

HUGS is a reference implementation for reconstructing an animatable human and their surrounding background scene from a single video using Gaussian Splatting.

An efficient framework that automates the creation of animation-ready 3D characters by predicting joint positions and skinning weights from 3D meshes.

A lightweight C++/Python 3D viewer and UI for quickly visualizing meshes and point clouds with associated scalar and vector data.

Surflo is a 3D surface flow model that turns a handful of unposed RGB views into detailed 3D meshes using a global state and flow matching.

A macOS utility that uses OCR to extract non-selectable text from any screen area and copy it directly to the clipboard.

A universal Japanese OCR popup dictionary that enables instant word lookups from any on-screen content, including games, manga, and videos.

A Python library for document understanding that orchestrates layout analysis, OCR, and token classification to extract structured data from PDFs and scans.

A software development kit for the nuScenes and nuImages datasets, providing tools to load, analyze, and evaluate multimodal sensor data for autonomous driving research.

An image processing development platform for Espressif chips that provides examples for face and pedestrian detection and QR code recognition.

A deep neural network for visual localization that determines an image's position and orientation by matching it to 2D public maps like OpenStreetMap.

A network for detecting and localizing image manipulations by analyzing JPEG compression artifacts, providing tools for image forensics research.

An intelligent open-source ecosystem for AI-assisted medical image annotation that uses a server-client architecture to enable interactive and automated labeling for radiology, pathology, and endoscopy.

An AI-driven construction site safety monitoring system that uses YOLO to detect PPE violations and proximity hazards from live camera feeds.

A benchmark dataset of 2,624 annotated electroluminescence images of solar cells used for the visual identification of defects that reduce power efficiency.

An open-source machine learning platform that uses deep learning and satellite imagery to automatically detect deforestation, arctic ice melting, and flooding.

MAMMA is a markerless multi-person 3D motion acquisition system that reconstructs accurate human poses from multi-view video footage.

A cross-platform .NET wrapper for the OpenCV library that enables image-processing functions to be used in .NET compatible languages.

A framework for adapting the Segment Anything Model (SAM) to improve performance in challenging scenes like camouflage, shadows, and medical imaging.

A self-hosted security camera platform providing live viewing, recording, and on-device AI detection while keeping footage on user-owned hardware.

Ocean is a C++ framework for building Computer Vision and Augmented Reality applications across various platforms including mobile, desktop, and Meta Quest.