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 …

Neuromorphic vision sensors or event cameras have made the visual perception of
extremely low reaction time possible, opening new avenues for high-dynamic robotics …

Event-based cameras have recently drawn the attention of the Computer Vision community
thanks to their advantages in terms of high temporal resolution, low power consumption and …

We present a unifying framework to solve several computer vision problems with event
cameras: motion, depth and optical flow estimation. The main idea of our framework is to find …

Different from traditional video cameras, event cameras capture asynchronous events
stream in which each event encodes pixel location, trigger time, and the polarity of the …

Event cameras are bioinspired visual sensors that capture pixelwise intensity changes and
output asynchronous event streams. They show great potential over conventional cameras …

Event cameras are an exciting, new sensor modality enabling high-speed imaging with
extremely low-latency and wide dynamic range. Unfortunately, most machine learning …

We introduce EDS, a direct monocular visual odometry using events and frames. Our
algorithm leverages the event generation model to track the camera motion in the blind time …

Dynamic Vision Sensor (DVS) event camera output includes uninformative background
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …