École d’Été Peyresq 2025
Thème Quantification d’incertitude Le GRETSI et le GdR IASIS organisent depuis 2006 une École d’Été...
13 Février 2024
Catégorie : Compétitions et challenges
1st Event-based Challenge @ CVPR2024
Dear Colleagues:
We are pleased to inform you that we are hosting the 1st Event-based Eye Tracking Challenge, with the 1st edition of AI for Streaming workshop, in conjunction with CVPR2024.
*Official Website: https://eetchallenge.github.io/EET.github.io/
*Challenge Website: https://www.kaggle.com/competitions/event-based-eye-tracking-ais2024/
Winners will be invited, after being reviewed, to present during the associated CVPR workshop.
Other Top Ranked teams may be invited to a tentative report for documenting the challenge.
*Important dates:
Start: 05/02/2024
Test Phase: 15/03/2024
Results: 20/03/2024
Paper Submission: 01/04/2024
Paper Decision Notification: 07/04/2024
Camera Ready: 12/04/2024
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About the Challenge:
Developing an event-based eye-tracking system presents significant opportunities in diverse fields, notably in consumer electronics and neuroscience. Human eyes exhibit rapid movements, occasionally surpassing speeds of 300°/s. This necessitates using event cameras capable of high-speed sampling and tracking.
In consumer electronics, particularly in augmented and virtual reality (AR/VR) applications, the primary benefits of event-based systems extend beyond their high speed. Their highly sparse input data streams can be exploited to reduce power consumption. This is a pivotal advantage in creating lighter, more efficient wearable headsets that offer prolonged usage and enhanced user comfort.
This is instrumental in augmenting the immersive experience in AR/VR and expanding the capabilities of portable technology. In neuroscience and cognitive studies, such technology is crucial for deciphering the complexities of eye movement. It facilitates a deeper comprehension of visual attention processes and aids in diagnosing and understanding neurological disorders.
This challenge aims to develop an **event-based eye-tracking system for precise tracking of rapid eye movements** to produce lighter and more comfortable devices for a better user experience. Simultaneously, it promises to provide novel insights into neuroscience and cognitive research, deepening our understanding of these domains.
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