IMMERSE. INTERACT. INVESTIGATE

Risultati finali

The avatar system improves the performance of participants in VR. The purpose of the system will be to provide realistic avatars that participants can use and control to interact with the environment and other participants.

Sanitised datasets to support EU security research

This deliverable is an extract of the project datasets where the content is not classified, to be used for further security research.

Visualisation report for best practices and techniques

This deliverable will report on best practices for visualising data in three dimensional environments

Collaborative natural and gesture-based interaction system

The deliverable is a tool which can be used to coordinate and interact with the virtual environment and collaborative users utilising gesturebased activities This tool will be integrated into the collaborative interactive environment

Visualisation library

This deliverable will develop a library of visualisations that can be deployed in AR/VR

Recommendation report for integrating AI into LEA environments

This deliverable will analyse and recommend practices for integrating AI techniques into LEA workflows

Research report on immersive reality, collaborative and analysis methods

The document presents the first results of the analysis of the efficiency of immersive reality collaborative and analysis methods for INFINITY

Final project report

This document shows all the achievements all the projects: scientific, technical and societal. It shows how the project innovated in the topic.

Analysis of relevant legal, societal and ethical framework

The document establishes the framework legal societal and ethical in which the capabilities developed in the project can be used operationally

Review of the impacts on cognition, health and well-being for sustained AR/VR headset use

This document describes the effects of the ARVR headsets on the operators during their tasks The effects are based on the tests during the first phase of the project

Infinity technical and policy briefs

This deliverable will report on the series of technical and policy briefs that will be created once per three months during the project.

Infinity website, social media channels and dissemination

This deliverable will report on the creation of Infinitys online presence

Mid-term project and societal impact report

This document assesses at the end of the first reporting period of the project The scientific impact The societal impact

Pubblicazioni

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Autori: Muhammad Ahmed, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: MDPI Sensors, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21155116

Towards Robust Object Detection in Floor Plan Images: A Data Augmentation Approach

Autori: Shashank Mishra, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app112311174

CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution

Autori: Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: MDPI Journal of Imaging, 2021, ISSN 2313-433X
Editore: MDPI
DOI: 10.3390/jimaging7100214

Controlling Teleportation-Based Locomotion in Virtual Reality with Hand Gestures: A Comparative Evaluation of Two-Handed and One-Handed Techniques

Autori: Alexander Schäfer; Gerd Reis; Didier Stricker
Pubblicato in: MDPI Electronics, 2021, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics10060715

A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems (under review)

Autori: Alexander Schäfer, Gerd Reis, Didier Stricker
Pubblicato in: ACM Computing Surveys, 2022, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.

Guided Table Structure Recognition Through Anchor Optimization

Autori: Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Noman Afzal; Muhammad Zeshan Afzal
Pubblicato in: IEEE Access, 2021, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3103413

HybridTabNet: Towards Better Table Detection in Scanned Document Images

Autori: Danish Nazir, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11188396

A Survey of Graphical Page Object Detection with Deep Neural Networks

Autori: Jwalin Bhatt, Khurram Azeem Hashmi, Muhammad Zeshan Afzal, and Didier Stricker
Pubblicato in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11125344

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

Autori: Khurram Azeem Hashmi; Marcus Liwicki; Didier Stricker; Muhammad Adnan Afzal; Muhammad Ahtsham Afzal; Muhammad Zeshan Afzal
Pubblicato in: IEEE Access, 2021, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3087865

Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images

Autori: Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11167610

Comparing gradient-free optimizers to the problem of 3d performance capture via template fitting.

Autori: Alexandros Doumanoglou
Pubblicato in: 2021
Editore: Kudos

Zeroth-Order Optimizer Benchmarking for 3D Performance Capture

Autori: Doumanoglou Alexandros, Drakoulis Petros, Christaki Kyriaki, Zioulis Nikolaos, Sterzentsenko Vladimiros, Karakottas Antonis, Zarpalas Dimitrios, Daras Petros
Pubblicato in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021, Pagina/e 955-963, ISBN 978-1-4503-8350-9
Editore: ACM
DOI: 10.1145/3449639.3459354

Benchmarking Gradient-Free Optimizers for 3D Performance Capture in the ∇ Nevergrad platform

Autori: Doumanoglou Alexandros, Zioulis Nikolaos, Sterzentsenko Vladimiros, Karakottas Antonis, Zarpalas Dimitrios, Daras Petros
Pubblicato in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021, ISBN 978-1-4503-8351-6
Editore: ACM
DOI: 10.1145/3449726.3463281

Investigating the Sense of Presence Between Handcrafted and Panorama Based Virtual Environments

Autori: Alexander Schäfer, Gerd Reis, Didier Stricker
Pubblicato in: Proceedings of Mensch und Computer (MuC) 2021, 2021
Editore: ACM
DOI: 10.1145/3473856.3474024

Risultati finali

Pubblicazioni

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