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DTSTART;VALUE=DATE:20250612
DTEND;VALUE=DATE:20250613
DTSTAMP:20260619T091654
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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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230619
DTEND;VALUE=DATE:20230620
DTSTAMP:20260619T091654
CREATED:20230129T163545Z
LAST-MODIFIED:20230129T163545Z
UID:10000019-1687132800-1687219199@www.neuropac.info
SUMMARY:Workshop on Event-based Vision @ CVPR 2023
DESCRIPTION:4th International Workshop on Event-Based Vision. \nHeld in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition 2023\, as part of the track: CV for non-traditional modalities\n\nThis workshop is dedicated to event-based cameras\, smart cameras\, and algorithms processing data from these sensors. Event-based cameras are bio-inspired sensors with the key advantages of microsecond temporal resolution\, low latency\, very high dynamic range\, and low power consumption. Because of these advantages\, event-based cameras open frontiers that are unthinkable with standard 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 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. These sensors became commercially available in 2008 and are slowly being adopted in computer vision and robotics. In recent years they have received attention from large companies\, e.g.\, the event-sensor company Prophesee collaborated with Intel and Bosch on a high spatial resolution sensor\, Samsung announced mass production of a sensor to be used on hand-held devices\, and they have been used in various applications on neuromorphic chips such as IBM’s TrueNorth and Intel’s Loihi. The workshop also considers novel vision sensors\, such as pixel processor arrays (PPAs)\, which perform massively parallel processing near the image plane. Because early vision computations are carried out on-sensor\, 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. This workshop will cover the sensing hardware\, as well as the processing and learning methods needed to take advantage of the above-mentioned novel cameras.
URL:https://www.neuropac.info/event/workshop-on-event-based-vision-cvpr-2023/
LOCATION:Vancouver\, Canada\, Vancouver\, Canada
CATEGORIES:Conference,Workshop
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