Abstract Event cameras, or Dynamic Vision Sensors (DVS) are novel neuromorphic sensors
that capture brightness changes as a continuous stream of “events” rather than traditional …

Creating an image focal stack requires multiple shots, which captures images at different
depths within the same scene. Such methods are not suitable for scenes undergoing …

Autofocus technology is a crucial technique in computational optical imaging. The clarity
evaluation function (CEF) serves as the criterion for autofocus, making it the core of the …

Motion segmentation is a formidable computer vision task, aiming to segment moving targets
from a dynamic scene. In this paper, we choose to introduce an additional modality to bolster …

Effective video frame interpolation hinges on the adept handling of motion in the input
scene. Prior work acknowledges asynchronous event information for this, but often …

The widespread presence and use of visual data highlight the fact that conventional frame-
based electronic sensors may not be well-suited for specific situations. For instance, in many …

Fast and accurate depth sensing has long been a significant research challenge. Event
camera, as a device that quickly responds to intensity changes, provides a new solution for …

摘要捕捉动态变化场景的光场信息, 在虚拟现实, 显微观测, 工业检测, 天文等重要观测应用中
具有重要的应用价值. 现有动态光场成像数据通量大, 对动态光场数据的采集 …

We propose a novel approach to active neuromorphic sensing to rapidly focus and artificially
generate contrast to improve event-based space imaging. Space imaging is the collection of …