IEEE AIVR 2020 is over. We hope you enjoyed it and thank everyone who contributed, attended, and made it happen.
You can still access this year's keynote speeches via this
IEEE AIVR 2020 keynotes YouTube playlist.
We hope to welcome you again (and many new participants) for IEEE AIVR 2021 in Taichung, Taiwan, Nov 15-17, 2021. Website and call should be available by the end of January 2021.
Welcome to IEEE AIVR 2020
After two successful conferences in Asia and the US, respectively, we were looking forward to bring IEEE AVIR to Europe for the first time.
Due to the COVID-19 situation, we decided though to switch to a virtual event.
The 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020) in December 2020 will thus take place fully online.
IEEE AIVR is a unique event, addressing researchers and industries from all areas of AI as well as Virtual, Augmented, and Mixed Reality. It provides an international forum for the exchange between those fields, to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains. We invite researchers from Virtual Reality (VR) as well as Augmented Reality (AR) and Mixed Reality (MR) to participate and submit their work to the program. Likewise, work on AI that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "For Authors" above for further details.
Best paper award winner IEEE AIVR 2020
Learning Kinematic Machine Models from Videos by Lucas Thies, Marc Stamminger and Frank Bauer
Best presentation award winners (posters/demos)
Tue, Dec 15: The Robot-Arm Talks Back to Me - Human Perception of Augmented Human-Robot Collaboration in Virtual Reality by Alexander Arntz, Sabrina Eimler and Ulrich Hoppe
Wed, Dec 16: High-Quality First-Person Rendering Mixed Reality Gaming System for in Home Setting by Yu-Yen Chung, Hung-Jui Guo, Hiranya Garbha Kumar and Balakrishnan Prabhakaran
Thu, Dec 17: A Preliminary Investigation into a Deep Learning Implementation for Hand Tracking on Mobile Devices by Monica Gruosso, Nicola Capece, Ugo Erra and Francesco Angiolillo