View source for XTREME

=== XTREME Project === 
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! CORDIS Reference !! Start date !! End date !! Coordinator 
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| https://cordis.europa.eu/project/id/101136006 || 01/01/2024 || 31/12/2026 || IT-UNIVERSITETET I KOBENHAVN / Denmark
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=== Project description ===
Engaging with art and music has a positive effect on health, but limitations such as venue location, personal constraints, scheduling conflicts, and costs often hinder access to these experiences. With this in mind, the EU-funded XTREME project aims to develop a human-centred mixed reality (MR) solution that transports concerts and performances to remote locations, removing physical constraints. This MR technology integrates real and virtual content, where users can share the experience virtually with selected social circles, promoting inclusivity. Eliminating travel requirements, XTREME provides a greener alternative. This groundbreaking project provides virtual access to immersive art and music experiences breaking down traditional barriers.

=== Project outputs ===
==== Publications ====
Domain	Type of output	Title	DOI URL
AI, Machine Learning & Data Science	Conference proceedings	"AI enhances our performance, I have no doubt this one will do the same: The Placebo effect is robust to negative descriptions of AI"	https://doi.org/10.1145/3613904.3642633
Audio, Speech & NLP	Peer reviewed articles	Into the Here and Now: Explorations within a New Acoustic Virtual Reality	https://doi.org/10.1162/LEON_A_02651
Audio, Speech & NLP	Peer reviewed articles	Interfacing with history: curating with audio augmented objects	https://doi.org/10.1080/09647775.2024.2431899
Computer Vision, 3D Modeling & Rendering	Conference proceedings	Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery	https://doi.org/10.1109/WACV61041.2025.00571
Computer Vision, 3D Modeling & Rendering	Peer reviewed articles	Attribute-Centric Compositional Text-to-Image Generation	https://doi.org/10.1007/S11263-025-02371-0
Computer Vision, 3D Modeling & Rendering	Peer reviewed articles	Scale-wise Bidirectional Alignment Network for referring remote sensing image segmentation	https://doi.org/10.1016/J.ISPRSJPRS.2025.05.014
Extended Reality (VR/AR/MR) & HCI	Conference proceedings	Navigating the Virtual Gaze: Social Anxiety's Role in VR Proxemics	https://doi.org/10.1145/3613904.3642359
Extended Reality (VR/AR/MR) & HCI	Peer reviewed articles	Don't They Really Hear Us? A Design Space for Private Conversations in Social Virtual Reality	https://doi.org/10.1109/TVCG.2025.3549844
Robotics, Manufacturing & Industry 4.0	Conference proceedings	Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection	https://doi.org/10.48550/ARXIV.2504.03306

==== Technological assets ====
{| class="wikitable sortable"
! Title !! Type of Asset !! Link / DOI !! Description
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| Multi-Flow: Multi-View-Enriched Normalizing Flows || AI Model || https://doi.org/10.48550/ARXIV.2504.03306 || Advanced deep learning framework created for industrial anomaly detection.
|}