6 papers
Neural Events: Discrete Asynchronous Autoencoders for Event-Based Vision
Roberto Pellerito, Daniel Gehrig, Shintaro Shiba +1
Event cameras capture dynamic scenes with exceptional temporal fidelity by representing them as a continuous stream of microsecond resolution \textit{events}. Each individual event…
Geometric-Photometric Event-based 3D Gaussian Ray Tracing
Kai Kohyama, Yoshimitsu Aoki, Guillermo Gallego +1
Event cameras offer a high temporal resolution over traditional frame-based cameras, which makes them suitable for motion and structure estimation. However, it has been unclear how…
Simultaneous Motion And Noise Estimation with Event Cameras
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Event cameras are emerging vision sensors whose noise is challenging to characterize. Existing denoising methods for event cameras are often designed in isolation and thus consider…
E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization
Shintaro Shiba, Quan Kong, Norimasa Kobori
Optical communication using modulated LEDs (e.g., visible light communication) is an emerging application for event cameras, thanks to their high spatio-temporal resolutions. Event…
Iterative Event-based Motion Segmentation by Variational Contrast Maximization
Ryo Yamaki, Shintaro Shiba, Guillermo Gallego +1
Event cameras provide rich signals that are suitable for motion estimation since they respond to changes in the scene. As any visual changes in the scene produce event data, it is…
3D Human Scan With A Moving Event Camera
Kai Kohyama, Shintaro Shiba, Yoshimitsu Aoki
Capturing a 3D human body is one of the important tasks in computer vision with a wide range of applications such as virtual reality and sports analysis. However, conventional fram…