CVPR 2025 Workshop on Event-based Vision

Event-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.