Admin at 13:33, 22 April 2026

2026-04-22T13:33:49Z

← Older revision		Revision as of 13:33, 22 April 2026
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	=== 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.
			\|}

Admin: 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..."

2025-03-04T14:03:29Z

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..."

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=== 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 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.

CORTEX2 - Revision history

Admin at 13:33, 22 April 2026