Academic highlights included Davide Scaramuzza (University of Zurich) presenting new developments in structure-from-motion and SLAM with event sensors in robotics; Christopher Metzler (University of Maryland) showcasing innovative uses of event sensors in computational photography; and Priyadarshini Panda (Yale University) discussing the integration of event data with spiking neural networks for efficient hardware and software systems. Industry contributions stood out as particularly impactful. Kynang Eng of SynSense (Switzerland) outlined current barriers to mainstream adoption of event-based vision and emphasized its strong potential in 3D motion applications for robotics. Davide Migliore, representing the newly launched event-vision startup Tempo Sense, engaged the audience in an interactive discussion using live polling to gather perspectives on current challenges, key milestones, and promising directions for future research and applications. 9 DAILY CVPR Sunday Event-based Vision
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