Fraunhofer HHI (fraunhoferhhi)

Fraunhofer HHI

fraunhoferhhi

Geek Repo

Location:Berlin, Germany

Home Page:https://www.hhi.fraunhofer.de/en/index.html

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Fraunhofer HHI's repositories

vvenc

VVenC, the Fraunhofer Versatile Video Encoder

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vvdec

VVdeC, the Fraunhofer Versatile Video Decoder

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neural-deferred-shading

Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)

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omaf.js

HTML5 MSE Playback of MPEG 360 VR Tiled Streaming

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QuaDRiGa

QuaDRiGa, short for QUAsi Deterministic RadIo channel GenerAtor, is used for generating realistic radio channel impulse responses for system-level simulations of mobile radio networks.

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X-maps

Real-time depth estimation with an event camera and a laser projector (CVPR-W 2023)

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nncodec

Fraunhofer Neural Network Encoder/Decoder (NNCodec)

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D-NeuS

Recovering Fine Details for Neural Implicit Surface Reconstruction (WACV2023)

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vvdecWebPlayer

A minimal proof-of-concept VVC player for the web using WebAssembly

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casapose

CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation (BMVC 2022)

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xpsnr

A filter plug-in adding support for Extended Perceptually Weighted Peak Signal-to-Noise Ratio (XPSNR) measurements in FFmpeg

pred6dof

Code for our ACMM'20 paper "Kalman Filter-based Head Motion Prediction for Cloud-based Mixed Reality"

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racpit

Code and additional information to our paper "RACPIT: Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation"

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BerlinV2X

Support code and documentation for the Berlin V2X dataset

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pytorch2tikz

Generate Tikz figures from pytorch models

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BTSeg

BarlowTwin Segementation

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PLAS

Parallel Linear Assignment Sorting

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DistSensIQE

Models for our paper on "Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network".

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ai4mobile-industrial

Support code and documentation for the AI4Mobile industrial datasets: iV2V and iV2I+

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CuriouslyEffectiveIQE

Reference implementation for our paper "Curiously Effective Features for Image Quality Prediction"

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sidelink-mcs-measurements

Measurement data for the paper "From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication"

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measurement-data-terminal-side-data-rate-prediction

Measurement data for the paper "Terminal-Side Data Rate Prediction for High-Mobility Users"

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