Contrast maximization (CMax) is a framework that provides state-of-the-art results on several
event-based computer vision tasks, such as ego-motion or optical flow estimation. However …

Biological sensing and processing is asynchronous and sparse, leading to low-latency and
energy-efficient perception and action. In robotics, neuromorphic hardware for event-based …

An event camera is a novel bio-inspired sensor that effectively compensates for the
shortcomings of current frame cameras, which include high latency, low dynamic range …

Event cameras are emerging vision sensors and their advantages are suitable for various
applications such as autonomous robots. Contrast maximization (CMax), which provides …

Motion capture systems are crucial in developing multi-quadrotor systems due to their ability
to provide fast and accurate ground truth measurements for tracking and control. This paper …

Although hands frequently exhibit motion blur due to their dynamic nature, existing
approaches for 3D hand recovery often disregard the impact of motion blur in hand images …

Introduction: Advances in machine vision and mobile electronics will be accelerated by the
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …

Contrast maximization (CMax) techniques are widely used in event-based vision systems to
estimate the motion parameters of the camera and generate high-contrast images. However …

The event camera efficiently detects scene radiance changes and produces an
asynchronous event stream with low latency, high dynamic range (HDR), high temporal …

As a new type of vision sensor, the dynamic and active-pixel vision sensor (DAVIS) outputs
image intensity and asynchronous event streams in the same pixel array. We present a …