Skip to main content

IMMERSE. INTERACT. INVESTIGATE

Deliverables

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

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 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

Visualisation report for best practices and techniques

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

Searching for OpenAIRE data...

Publications

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

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

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

Author(s): Shashank Mishra, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Published in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app112311174

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

Author(s): Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Published in: MDPI Journal of Imaging, 2021, ISSN 2313-433X
Publisher: 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

Author(s): Alexander Schäfer; Gerd Reis; Didier Stricker
Published in: MDPI Electronics, 2021, ISSN 2079-9292
Publisher: MDPI
DOI: 10.3390/electronics10060715

Guided Table Structure Recognition Through Anchor Optimization

Author(s): Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Noman Afzal; Muhammad Zeshan Afzal
Published in: IEEE Access, 2021, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3103413

HybridTabNet: Towards Better Table Detection in Scanned Document Images

Author(s): Danish Nazir, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Published in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app11188396

A Survey of Graphical Page Object Detection with Deep Neural Networks

Author(s): Jwalin Bhatt, Khurram Azeem Hashmi, Muhammad Zeshan Afzal, and Didier Stricker
Published in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app11125344

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

Author(s): Khurram Azeem Hashmi; Marcus Liwicki; Didier Stricker; Muhammad Adnan Afzal; Muhammad Ahtsham Afzal; Muhammad Zeshan Afzal
Published in: IEEE Access, 2021, ISSN 2169-3536
Publisher: 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

Author(s): Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Published in: MDPI Applied Sciences, 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app11167610

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

Author(s): Alexandros Doumanoglou
Published in: 2021
Publisher: Kudos

Zeroth-Order Optimizer Benchmarking for 3D Performance Capture

Author(s): Doumanoglou Alexandros, Drakoulis Petros, Christaki Kyriaki, Zioulis Nikolaos, Sterzentsenko Vladimiros, Karakottas Antonis, Zarpalas Dimitrios, Daras Petros
Published in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021, Page(s) 955-963, ISBN 978-1-4503-8350-9
Publisher: ACM
DOI: 10.1145/3449639.3459354

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

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

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

Author(s): Alexander Schäfer, Gerd Reis, Didier Stricker
Published in: Proceedings of Mensch und Computer (MuC) 2021, 2021
Publisher: ACM
DOI: 10.1145/3473856.3474024