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Studying for a tech interview sucks. Here's an open source cheat sheet to help
A list of Summer 2024 internships for software engineering, updated automatically everyday
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
A collection of full time roles in SWE, Quant, and PM for new grads.
Efficient neural feature detector and descriptor
A single-shot learning-based approach to hand and object pose estimation, made available on a head-mounted display.
This is a Unity Project for HoloLens used in the conference sessions by Rene Schulte presented at Build 2018 and more. https://rene-schulte.info
Towards context-aware head-mounted display-based augmented reality for surgical guidance.
Using deep learning models for image classification directly on the HoloLens 2.
Point correspondence-based display calibration and ArUco marker tracking for the HoloLens 2.
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Volume rendering, implemented in Unity3D. Want to support the project? Donate a small sum to Save The Children(https://www.savethechildren.net/) or another charity, and send me a message, and I wil…
A collection of some of the neat math and physics tricks that I've collected over the last few years.
Sample code and documentation for using the Microsoft HoloLens 2 for Computer Vision research.
Sample code and documentation for using the Microsoft HoloLens for Computer Vision research
HoloLens With OpenCVforUnity Example (Support for Hololens1 and Hololens2)
Programs to calibrate HoloLens front-facing camera, supporting HL1 and HL2
Marker tracking on HoloLens built on Aruco, OpenCV and Unity
ArUco marker tracking on the HoloLens, implemented in Unity.
Marker tracking using the front-facing camera of HoloLens (both 1 and 2) and Unity, with a wrapper of ARToolKit built for UWP (Windows Universal Platform)
Sample Unity projects to demo how to use OpenXR plugin in Unity for HoloLens 2 and Mixed Reality headsets
Audio classification via transfer learning
Multimodal Fully Convolutional Neural networks for Semantic Segmentation.
Video classification using the UCF101 dataset for action recognition. We extract SIFT, MFCC and STIP features from the videos, we encode them using the Bag of Words framework and we implement early…
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes