ICIR 2021: IEEE International Conference on Intelligent Reality Virtual May 12-14, 2021 |
Conference website | https://icir.ieee.org/ |
Submission link | https://easychair.org/conferences/?conf=icir2021 |
Submission deadline | March 1, 2021 |
1st IEEE International Conference on Intelligent Reality (IEEE ICIR)
Theme: Enabling Real-time Intelligent Analytics for Immersive Environment
12 – 14 May 2021 (Virtual)
Organized by IEEE Digital Reality Initiative under IEEE Future Directions
Call for Papers and Competition
Technical Papers
With the advancement of smart interactive devices, immersive technologies, and artificial intelligence (AI) algorithms, integrating these technologies can propel future Intelligent Reality (IR). Utilizing innovative technology, such as sensors, immersive computing, and AI machine learning, can provide real-time decision-making user experience with analytics capability within the immersive space. By leveraging these technologies and others being developed for augmented reality (AR), virtual reality (VR), mixed reality (MR), extended reality (XR), and Digital Twins, the line between the physical world and the digital world with intelligent assistant capability will be increasingly less distinct. The formation of these technologies can transform and enhance learning and human performance in education, science, engineering, telemedicine, healthcare, manufacturing, finance, business, public services, and ultimately our society itself.
The first IEEE International Conference on Intelligent Reality explores real-time analytics capability by integrating and deploying AI machine learning into immersive (VR, AR, MR, and XR) space. It provides a forum to encourage the exchange of ideas with leading researchers and industry professionals in this intersection.
List of Topics
We invite researchers, industries, and standards experts to submit their work on this new frontier of Intelligent Reality. Areas of interest include but are not limited to:
- Intelligent Reality Science and Foundations
- Advanced Analytical Models
- Efficient neural network inference Engines, Transfer Learning
- Innovative Rendering Models
- Security, Privacy, Integrity, and Ethics
- Evaluation Metrics and Methodologies
- Novel Quality Models
- Quality of Experience
- New Standards
- Intelligent Reality Technology and Infrastructure
- Neural Network Compression
- Point Cloud Compression
- Immersive Visual Media: Omidirectional, 360, 3DoF, 3DoF, 6DoF+, etc.
- Spatial Audio, 3D Surround Sounds
- Geometric Modeling and Design
- Media Coded Representation
- Interact Machine Learning between Virtual Objects and Real World
- Interoperability between Machine Learning, Virtual Objects, and Real World
- Sensor Fusion
- Visual Analytics
- Multimodel Interaction and Experience
- Rendering Techniques
- System Architectures, Design, and Deployment
- Energy-efficient Computing
- New Programming Models and Environments
- Software Techniques and Architectures
- Hardware, Accelerators, Devices for Intelligent Reality
- AR Glasses, VR Headsets, other AR/VR Form-Factors, Smart Devices
- Sensors technology in actuators, tactile, haptic, etc. for IR applications
- Network on Chip, System on Chip, Programmable Chip
- FPGA/CGRA/GPU/etc. accelerators for IR applications
- Operating system support and runtimes for hardware accelerators
- Programming models and platforms for accelerators
- Novel system organizations and designs
- Computation in memory/storage/network
- Intelligent Reality Applications
- Arts, Games, Leisure, Sports, and Entertainment
- E-commerce, Retail, Real Estate
- 3D Model and Terrain Data
- Interior Design, Landscaping & Urban Planning
- Tourism and Travel
- Telepresence, Teleoperation, collaboration, and social interactions
- Education, Simulation, and Training
- Healthcare, Medicine, Therapy
- Transportation, Automotive, Aerospace
- Geospatial
- Finance
- Industrial, Military, Emergency Response
- Communication and Collaboration
- Manufacturing and Occupational Safety
- Advertising & Marketing
- Government, Public Sector and Society in General
- Intelligent Reality Services
- Emergency
- Environmental
- Public Safety
- Health Care
- Public Transportation
- Travel and Booking
- Public Buildings
- Repair & Maintenance
- Social
- Urban Planning
- Professional
- Housing
- Tourism
- Intelligent Reality Management
- Content Creation, Authoring, and Management
- Analytics Services and Management
- Scalability and Efficiency between AI, Virtual Objects, and Real World
- Data Acquisition, Integration, Cleaning, and Best Practices
- Visualization Analytics
- Computational Modeling and Data Integration
- Security, Ethics, Privacy, and Trust in Intelligent Reality
- Research in Security, Privacy, Integrity, and Ethics
- Techniques and Models for Fairness, Diversity, Transparency, and Interpretability
- Experimental Studies of Fairness, Diversity, Accountability, and Transparency
- User Impacts of Novel Attacks
- Trade-offs between Transparency and Privacy
- Intrusion, Anomaly, Threat Detection
- Multi-layer Defensive Frameworks
- Novel Threats, Attacks, Mitigations
- Trust Management
- Social Connection and Concerns in Intelligent Reality
- User Behaviors and Psychology
- Groups and Communities Interaction
- User Safety for in Social Environments
Submission Guidelines
This conference will only accept original papers that have not been previously published. The review will be single-blind. Papers should be formatted based on the official IEEE Manuscript Formatting guidelines; the maximum allowed camera-ready paper length is eight (8) pages. Also, consider the IEEE policies for publications (i.e., you must own the copyright to all parts.)
For paper submission, please visit https://easychair.org/conferences/?conf=icir2021.
All submitted papers will be reviewed by three international program committees. Accepted papers will be published in the IEEE ICIR proceedings and part of the IEEE Xplore.
For further information, please see detail at https://icir.ieee.org/.
Invited Speakers
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Dr. Danny Lange is Senior Vice President of Artificial Intelligence and Machine Learning at Unity. As head of machine learning at Unity, Lange leads the company’s innovation around AI (Artificial Intelligence) and Machine Learning, focusing on bringing AI to simulation and gaming.
Prior to joining Unity, Lange was the head of machine learning at Uber, where he led efforts to build the world’s most versatile Machine Learning platform to support the company’s hyper-growth. Lange also served as General Manager of Amazon Machine Learning — an AWS product that offers Machine Learning as a Cloud Service. Before that, he was Principal Development Manager at Microsoft where he led a product team focused on large-scale Machine Learning for Big Data.
Lange spent 8 years on Speech Recognition Systems, first as CTO of General Magic, Inc., then through his work on General Motor’s OnStar Virtual Advisor, one of the largest deployments of an intelligent personal assistant until Siri. Danny started his career as a Computer Scientist at IBM Research.
He holds MS and Ph.D. degrees in Computer Science from the Technical University of Denmark. He is a member of ACM and IEEE Computer Society and has several patents to his credit.
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Marc Pollefeys is a Professor of Computer Science at ETH Zurich and the Director of the Microsoft Mixed Reality and AI Lab in Zurich where he works with a team of scientists and engineers to develop advanced perception capabilities for HoloLens and Mixed Reality. He was elected Fellow of the IEEE in 2012. He obtained his PhD from the KU Leuven in 1999 and was a professor at UNC-Chapel Hill before joining ETH Zurich.
He is best known for his work in 3D computer vision, having been the first to develop a software pipeline to automatically turn photographs into 3D models, but also works on robotics, graphics, and machine learning problems. Other noteworthy projects he worked on are real-time 3D scanning with mobile devices, a real-time pipeline for 3D reconstruction of cities from vehicle mounted-cameras, camera-based self-driving cars, and the first fully autonomous vision-based drone. Most recently his academic research has focused on combining 3D reconstruction with semantic scene understanding.
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Dr. Victoria Interrante is Director of Center for Cognitive Sciences, University of Minnesota. Professor Interrante's research focuses on applying insights from visual perception and cognition to the development of more effective virtual reality experiences and the more effective communication of complex information through visual imagery. In this work, she has enjoyed collaborating with colleagues in a wide variety of fields, from architectural design and neuropsychology to engineering and medicine.
Dr. Interrante is a recipient of the 2020 IEEE VGTC Virtual Reality Career Award in recognition of her lifetime contributions to visualization and visual perception for augmented and virtual reality, and the 1999 Presidential Early Career Award for Scientists and Engineers, "the highest honor bestowed by the U.S. government on outstanding scientists and engineers beginning their independent careers". She was also a recipient of the 2001-2003 McKnight Land-Grant Professorship from the University of Minnesota.
At the University of Minnesota, Dr. Interrante is currently serving as the director of the University-wide Center for Cognitive Sciences and as a member of the graduate faculty in the interdisciplinary Cognitive Science and Human Factors programs. She also served from 2010-2013 as a member and 2013-2014 as co-chair of the Women's Faculty Cabinet, providing consultation and advice to the Vice Provost for Faculty and Academic Affairs to improve and enrich the academic and professional environments for women faculty at the University of Minnesota. She also served as Director of Graduate Studies for the Department of Computer Science and Engineering from 2010-2013.
Applications Competition
** Please see IEEE ICIR GitHub for latest updates **
Technological integration of smart interactive devices, immersive technologies, and AI machine learning algorithms is the future of propelling Intelligent Reality (IR). We challenge developers to create AI machine learning IR applications to provide real-time decision-making user experience with analytics capability for the immersive (VR/AR/MR/XR) environment.
Instructions
IR Applications (any developers and university students) submitted to the Competition must meet the following guidelines:
- Implementation needs to be original work (existing or new are acceptable)
- Include AI machine learning techniques and run within VR/AR/MR/XR
- Source code and data submission (see IEEE-ICIR-ACIR GitHub for instructions)
- Record 4 to 5 minutes video (mp4) to showcase key implementation features
- Grant IEEE to post video, codes, data (if any) at public IEEE-ICIR-ACIR GitHub under MIT licensing
- Students must attend an accredited university (for students only)
Evaluation criteria
- Originality: How creative and innovative is the idea?
- Implementation: What design methods have been used, user experience (graphics, gameplay, etc.)?
- Impact: How does the project contribute to the IR domain?
Awards (at the discretion of the Evaluation Team)
Professionals
- 1st Place: up to $1000 with 100 Ranking Points and IEEE certificate
- 2nd Place: up to $500 with 50 Ranking Points and IEEE certificate
- 3rd Place: up to $300 with 30 Ranking Points and IEEE certificate
- All other submitters will receive 10 Ranking Points for participation
Students
- 1st Place: up to $500 with 100 Ranking Points and IEEE certificate
- 2nd Place: up to $300 with 50 Ranking Points and IEEE certificate
- 3rd Place: up to $100 with 30 Ranking Points and IEEE certificate
- All other submitters will receive 10 Ranking Points for participation
Winners will showcase their submitted video and be asked 3-4 questions during the award ceremony.
Ranking Points: Accumulated points submitter earned through all competitions
Competition submission instructions
Interested developers and students please submit this Application Form.
Important Dates
- Dec 1, 2020: Submission open for application
- Feb 1, 2021: Due date for application
- Feb 5, 2021: Notification of acceptance
- Apr 12, 2021: Due date to submit code and data (if any) for evaluation
- May 7, 2021: Notification of evaluation result
- May 14, 2021: Award during ICIR closing ceremony
Committees
Organizing Committee
- General Chair: Wo Chang, NIST, US
- Organization Chair: Sin-Kuen Hawkins, IEEE, US
- Technical Chair: Kyoungro Yoo, Konkuk University, Korea
- Publication Chair: Elizabeth Chang, University of Maryland, US
- Competition Chair:
- Louis Nisiotis (Chair), University of Central Lancashire, Cyprus
- Sang Kyun Kim (Co-Chair), Myoungil University, Korea
Program Committee
- Matt Adcock, CSIRO, Australia
- Asesh Aishwarya, Adobe, US
- Lyuba Alboul, Sheffield Hallam University, UK
- Ehsan Azimi, Johns Hopkins University, US
- Abdelhamid Bouchachia, Bournemouth University, UK
- Wolfgang Broll, Ilmenau University of Technology, Germany
- Gerd Bruder, University of Central Florida, US
- Long Cheng, ABB Inc, US
- Gloria Cerasela Crisan, University of Bacau, Romania
- Sauptik Dhar, LG Electronics, US
- Janki Dodiya, German Aerospace Centre, Germany
- Ralf Dörner, RheinMain University of Applied Sciences, Germany
- Francesco Ferrise, Politecnico di MIlano, Italy
- Gary B. Glesener, Virginia Techechnology, US
- Paul Grimm, Fulda University of Applied Sciences, Germany
- Ioannis Hatzilygeroudis, University of Patras, Greece
- Wei-Chiang Hong, Jiangsu Normal University, China
- Jason Van Hulse, Florida Atlantic University, US
- Taehee Jeong, San Jose State University, US
- Ruoming Jin, Kent State University, US
- Joaquim Jorge, Instituto Superior Técnico, Portugal
- Sungchul June, University of Canterbury, New Zealand
- Latifur Khan, The University of Texas at Dallas, US
- Yingjie Lao, Clemson University, US
- Manfred Lau, City University of Hong Kong, China
- Gun Lee, University of South Australia, Australia
- Hai-Ning Liang, Xi'an Jiaotong-Liverpool University, China
- Liang Liang, University of Miami, US
- Li Liao, University of Delaware, USA, US
- Jean-LucLugrin, University of Würzburg, Germany
- Ryan McMahan, University of Central Florida, US
- Catarina Pinto Moreira, Instituto Superior Técnico, Portugal
- Omar Niamut, TNO, Netherlands
- Louis Nisiotis, University of Central Lancashire, Cyprus
- Quang Vinh Nquyen, University of Western Sydney, Australia
- Mitsunori Ogihara, University of Miami, US
- Vasile Palade, Coventry University, UK
- Isidoros Perikos, University of Patras, Greece
- Anitha S. Pillai, Hidustan University, India
- Kevin Ponto, University of Wisconsin - Madison, US
- Suryanarayan Poonam, Google, US
- Radu-Emil Precup, Politehnica University of Timisoara, Romania
- Aradhya Saini, Indian Institute of Technology Roorkee, India
- Stefania Serafin, Zuffo, Denmark
- Myriam Servières, Centrale Nantes, France
- Jungpil Shin, The University of Aizu, Japan
- Alexandre Gomes de Siqueira, Florida University, US
- Tom Vierjahn, Westphalian University of Applied SciencesGermany, Germany
- Benjamin Weyers, Trier University, Germany
- Xinyue Ye, NJIT, US
- Ghada Zamzmi, National Institutes of Health, US
- Dongxiao Zhu, Wayne State Unversity, US
- Lyudmila Zinchenko, BMSTU, Russia
- Marcelo Zuffo, Universidade de São Paulo, Brazil
Publication
ICIR 2021 proceedings will be published by IEEE Xplore.
Venue
The conference will be held virtually.
Contact
All questions about submissions should be emailed to icir@ieee.org.