Jump to content

CORTEX2: Difference between revisions

From OpenVerse Wiki
VisualWikitext
Created page with "=== CORTEX2 Project === {| class='wikitable' style='margin:auto' |- ! CORDIS Reference !! Start date !! End date !! Coordinator |- | https://cordis.europa.eu/project/id/101070192 || 01/09/2022 || 31/08/2025 || DFKI / Germany |} === Project description === Video conferencing and mixed reality are both forms of communication but based on very different technologies. Video conferencing does not provide an in-person feel to meetings and has several other drawbacks. In con..."
 
No edit summary
 
Line 8: Line 8:
=== Project description ===
=== Project description ===
Video conferencing and mixed reality are both forms of communication but based on very different technologies. Video conferencing does not provide an in-person feel to meetings and has several other drawbacks. In contrast, mixed reality has emerged as a technology that can provide a genuine feeling of presence, and better collaboration tools. The EU-funded CORTEX² project will bridge the divide between widespread video conferencing tools and innovative XR-based solutions to democratise the adoption of next-generation eXtended Reality tele-cooperation by industrial sectors and SMEs. The initiative will use and extend the widespread Rainbow teleconferencing solution from Alcatel Lucent Enterprise to allow for fully interactive XR-based cooperation. This will be demonstrated in three pilots: industrial production, business meetings, and remote training respectively.
Video conferencing and mixed reality are both forms of communication but based on very different technologies. Video conferencing does not provide an in-person feel to meetings and has several other drawbacks. In contrast, mixed reality has emerged as a technology that can provide a genuine feeling of presence, and better collaboration tools. The EU-funded CORTEX² project will bridge the divide between widespread video conferencing tools and innovative XR-based solutions to democratise the adoption of next-generation eXtended Reality tele-cooperation by industrial sectors and SMEs. The initiative will use and extend the widespread Rainbow teleconferencing solution from Alcatel Lucent Enterprise to allow for fully interactive XR-based cooperation. This will be demonstrated in three pilots: industrial production, business meetings, and remote training respectively.
=== Project outputs ===
==== Publications ====
{| class="wikitable sortable"
! Domain !! Type of output !! Title !! DOI URL
|-
| Audio, Speech & NLP || Conference proceedings || Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras || https://doi.org/10.48550/arxiv.2207.06058
|-
| Audio, Speech & NLP || Conference proceedings || X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents || https://doi.org/10.48550/arxiv.2306.17674
|-
| Computer Vision, 3D Modeling & Rendering || Conference proceedings || Dynamic Cost Volumes with Scalable Transformer Architecture for Optical Flow || https://doi.org/10.5281/zenodo.8253051
|-
| Computer Vision, 3D Modeling & Rendering || Conference proceedings || Avatar quality: A study on presence and user preference || https://doi.org/10.1109/AIxVR59861.2024.00022
|-
| Education, Training & Serious Games || Peer reviewed articles || Exploring Avatar Utilization in Workplace and Educational Environments: A Study on User Acceptance, Preferences, and Technostress || https://doi.org/10.3390/APP15063290
|-
| Extended Reality (VR/AR/MR) & HCI || Conference proceedings || CORTEX2 – Extended Collaborative Telepresence for future work and education || https://doi.org/10.5281/ZENODO.8065220
|-
| Robotics, Manufacturing & Industry 4.0 || Conference proceedings || Ready Expert One: Universal 3D Workbench for Remote Industrial Training || https://doi.org/10.1145/3706370.3731701
|}
==== Technological assets ====
{| class="wikitable sortable"
! Title !! Type of Asset !! Link / DOI !! Description
|-
| Dynamic Cost Volumes with Scalable Transformer Architecture for Optical Flow || AI Model / Software || https://doi.org/10.5281/zenodo.8253051 || A neural network architecture and software framework for accurate optical flow estimation.
|-
| Uni-SLAM || AI Model / Software || https://cortex2.eu/2025/11/29/cortex2-publication-uni-slam-uncertainty-aware-neural-implicit-slam-for-real-time-dense-indoor-scene-reconstruction/ || An uncertainty-aware neural implicit SLAM model developed for real-time dense indoor scene reconstruction.
|-
| X-RiSAWOZ || Dataset || https://doi.org/10.48550/arxiv.2306.17674 || High-quality end-to-end multilingual dialogue datasets accompanied by few-shot agents.
|-
| FREDSum || Dataset || https://arxiv.org/abs/2312.04843 || A dialogue summarization corpus specifically designed around French political debates.
|}

Latest revision as of 13:33, 22 April 2026

CORTEX2 Project

CORDIS Reference Start date End date Coordinator
https://cordis.europa.eu/project/id/101070192 01/09/2022 31/08/2025 DFKI / Germany

Project description

Video conferencing and mixed reality are both forms of communication but based on very different technologies. Video conferencing does not provide an in-person feel to meetings and has several other drawbacks. In contrast, mixed reality has emerged as a technology that can provide a genuine feeling of presence, and better collaboration tools. The EU-funded CORTEX² project will bridge the divide between widespread video conferencing tools and innovative XR-based solutions to democratise the adoption of next-generation eXtended Reality tele-cooperation by industrial sectors and SMEs. The initiative will use and extend the widespread Rainbow teleconferencing solution from Alcatel Lucent Enterprise to allow for fully interactive XR-based cooperation. This will be demonstrated in three pilots: industrial production, business meetings, and remote training respectively.

Project outputs

Publications

Domain Type of output Title DOI URL
Audio, Speech & NLP Conference proceedings Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras https://doi.org/10.48550/arxiv.2207.06058
Audio, Speech & NLP Conference proceedings X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents https://doi.org/10.48550/arxiv.2306.17674
Computer Vision, 3D Modeling & Rendering Conference proceedings Dynamic Cost Volumes with Scalable Transformer Architecture for Optical Flow https://doi.org/10.5281/zenodo.8253051
Computer Vision, 3D Modeling & Rendering Conference proceedings Avatar quality: A study on presence and user preference https://doi.org/10.1109/AIxVR59861.2024.00022
Education, Training & Serious Games Peer reviewed articles Exploring Avatar Utilization in Workplace and Educational Environments: A Study on User Acceptance, Preferences, and Technostress https://doi.org/10.3390/APP15063290
Extended Reality (VR/AR/MR) & HCI Conference proceedings CORTEX2 – Extended Collaborative Telepresence for future work and education https://doi.org/10.5281/ZENODO.8065220
Robotics, Manufacturing & Industry 4.0 Conference proceedings Ready Expert One: Universal 3D Workbench for Remote Industrial Training https://doi.org/10.1145/3706370.3731701

Technological assets

Title Type of Asset Link / DOI Description
Dynamic Cost Volumes with Scalable Transformer Architecture for Optical Flow AI Model / Software https://doi.org/10.5281/zenodo.8253051 A neural network architecture and software framework for accurate optical flow estimation.
Uni-SLAM AI Model / Software https://cortex2.eu/2025/11/29/cortex2-publication-uni-slam-uncertainty-aware-neural-implicit-slam-for-real-time-dense-indoor-scene-reconstruction/ An uncertainty-aware neural implicit SLAM model developed for real-time dense indoor scene reconstruction.
X-RiSAWOZ Dataset https://doi.org/10.48550/arxiv.2306.17674 High-quality end-to-end multilingual dialogue datasets accompanied by few-shot agents.
FREDSum Dataset https://arxiv.org/abs/2312.04843 A dialogue summarization corpus specifically designed around French political debates.
Retrieved from "https://wiki.open-verse.eu/index.php?title=CORTEX2&oldid=311"