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DTSTART;VALUE=DATE:20250612
DTEND;VALUE=DATE:20250613
DTSTAMP:20260909T065935
CREATED:20250417T122539Z
LAST-MODIFIED:20250417T122539Z
UID:10000332-1749686400-1749772799@www.neuropac.info
SUMMARY:CVPR 2025 Workshop on Event-based Vision
DESCRIPTION:Objectives\nEvent-based cameras are bio-inspired\, asynchronous sensors that offer key advantages of microsecond temporal resolution\, low latency\, high dynamic range and low power consumption. Because of these advantages\, event-based cameras open frontiers that are unthinkable with traditional (frame-based) cameras\, which have been the main sensing technology for the past 60 years. These revolutionary sensors enable the design of a new class of efficient algorithms to track a baseball in the moonlight\, build a flying robot with the agility of a bee\, and perform structure from motion in challenging lighting conditions and at remarkable speeds. In the last decade\, research about these sensors has attracted the attention of industry and academia\, fostering exciting advances in the field. The proposed workshop covers the sensing hardware\, as well as the processing\, data\, and learning methods needed to take advantage of the above-mentioned novel cameras. The workshop also considers novel vision sensors\, such as pixel processor arrays\, which perform massively parallel processing near the image plane. Because early vision computations are carried out on-sensor (mimicking the retina)\, the resulting systems have high speed and low-power consumption\, enabling new embedded vision applications in areas such as robotics\, AR/VR\, automotive\, gaming\, surveillance\, etc.\n\nTopics Covered\n\nEvent-based / neuromorphic vision.\nAlgorithms: motion estimation\, visual(-inertial) odometry\, SLAM\, 3D reconstruction\, image intensity reconstruction\, optical flow estimation\, recognition\, segmentation\, feature/object detection\, visual tracking\, calibration\, action understanding\, sensor fusion (video synthesis\, events and RGB\, events and LiDAR\, etc.)\, model-based\, embedded\, or learning-based approaches.\nEvent-based representation\, signal processing\, and control.\nEvent-based active vision\, event-based sensorimotor integration.\nEvent camera datasets and/or simulators.\nApplications in: computational photography\, robotics (navigation\, manipulation\, drones\, obstacle avoidance\, human-robot interaction\,…)\, automotive\, IoT\, AR/VR (e.g.\, smart eyewear)\, space science\, automated inspection\, surveillance\, crowd counting\, physics\, biology.\nNovel hardware (cameras\, neuromorphic processors\, etc.) and/or software platforms\, such as fully event-based systems (end-to-end).\nNew trends and challenges in event-based and/or biologically-inspired vision (SNNs\, Reservoir Computing\, etc.).\nEfficient computing architectures for Event-based processing (e.g.\, HD Computing\, State Space Models).\nNear-focal plane processing\, such as pixel processor arrays (PPAs).\n\nA longer list of related topics is available in the table of content of the List of Event-based Vision Resources
URL:https://www.neuropac.info/event/cvpr-2025-workshop-on-event-based-vision/
LOCATION:Nashville\, Nashville\, TN\, United States
CATEGORIES:Workshop
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