Introduction

Whenever AI researchers want to propose different data-driven models, datasets are the most fundamental resource. They can develop state-of-the-art AI algorithms to achieve excellent prediction performance with easy access to standard datasets. However, when XR researchers decide to import these algorithms for developing intelligent immersive interactive applications, the need for publicly available datasets arises as a challenge despite advanced AI algorithms being developed.

Many works related to datasets have been published, e.g., MINIST, ImageNet, CIFAR-10, etc. To unleash the full power of XR, the community also needs standard datasets for developing data-driven models with machine/deep learning. The workshop on Datasets for Developing Intelligent XR Applications (Data4XR), hosted by the IEEE VR 2024, proposes a meaningful platform for domain researchers to find valuable resources and develop interdisciplinary collaborations. It aims to promote XR research by involving more AI methods, and thus contribute to next-generation XR. 

 Invited Speaker

 Submission Guidelines

All paper submissions must be in English and must comprise 6 pages maximum, NOT including references. All Data4XR Workshop Paper submissions must be prepared in IEEE Computer Society VGTC format (https://tc.computer.org/vgtc/publications/conference/) and submitted in PDF format. We highly encourage authors to use the LaTeX template. However, authors who choose to use the MS Word template should ensure that the PDF submission matches the PDF format template.

A DOUBLE-BLIND review process will be used. This means that both the authors and the reviewers should remain anonymous to each other. Submissions (including citations) should not contain information that identifies the authors, their institutions, funding sources, or their places of work. Relevant previous work by the authors should be cited in the third person to preserve anonymity. Authors should work diligently to ensure that their submissions do not expose their identities either through carelessness or intentionality. Authors that have questions/issues around double-blind submission policy should contact the conference chairs at the above-mentioned email address.

IEEE VR Workshops proceedings will be published electronically through the IEEE Digital Library.

NOTE: papers rejected from the IEEE VR conference track are encouraged to be resubmitted if they can fit the topic of this workshop. In this case, the authors have to submit 1) the revised version of the paper, 2) the review report from the conference reviewers, 3) one page summary of rebuttal.

 Contacts

If you have any questions, please contact Yuyang Wang (yuyangwang[at]hkust-gz.edu.cn), Jean-Rémy Chardonnet (jean-remy.chardonnet[at]ensam.eu), Lik-Hang (Paul) Lee (lik-hang.lee[at]polyu.edu.hk) or Pan Hui (panhui[at]ust.hk).