Northwestern University
Tsinghua University
Zhejiang University
This paper presents a physics-based method that simulates the complete optical path of event cameras, intended for fundamental academic research in event camera modeling and evaluation.
This research proposes a computational method for three-dimensional visual scene modeling from bio-inspired camera, with civilian applications in consumer virtual reality and smartphone imaging.
This paper presents a depth-measurement system using a pair of synchronized bio-inspired camera, enabling better three-dimensional distance estimation.
This extension optimizes the computational architecture for depth sensing, designed specifically to reduce motion blur and improve focus speed.
This paper develops a physics-based computational framework to detect and eliminate flare caused by bright light sources in event camera, improving image quality for civilian photography applications.
This paper introduces a degradation-agnostic learning framework for unpaired image dehazing, improving restoration quality across diverse real-world haze conditions.
