Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

For the non-stop demands for a better and smarter society, the number of electronic devices
keeps increasing exponentially; and the computation power, communication data rate, smart …

This paper reports a 1280× 960 DVS. A 4.95-μm pixel pitch is achieved with in-pixel Cu-Cu
connection and the newly designed GIDL-suppression scheme. A sequential column …

Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as
events, which motivates our work in estimating 3D human pose and shape from the event …

For a structured light system, scan speed and reconstruction accuracy are usually
compromised for limited sensor bandwidth. The bio-inspired camera, also known as the …

This paper proposes to use neuromorphic events for correcting rolling shutter (RS) images
as consecutive global shutter (GS) frames. RS effect introduces edge distortion and region …

Event cameras are ideally suited to capture HDR visual information without blur but perform
poorly on static or slowly changing scenes. Conversely, conventional image sensors …

The main streams of human activity recognition (HAR) algorithms are developed based on
RGB cameras which usually suffer from illumination, fast motion, privacy preservation, and …

Event cameras are ideally suited to capture High Dynamic Range (HDR) visual information
without blur but provide poor imaging capability for static or slowly varying scenes …