6 papers
EvLIR: Learning Illumination Residuals from Ordered Events for Low-Light Image Enhancement
Haoxian Zhou, Chuanzhi Xu, Langyi Chen +5
Low-light image enhancement is severely ill-posed when the input frame contains missing structure, saturated noise, and weak local contrast. Event cameras provide asynchronous brig…
FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics
Langyi Chen, Chuanzhi Xu, Haoxian Zhou +6
Event cameras asynchronously report brightness changes with microsecond-level temporal resolution, but real event data remain difficult to collect at scale because specialized sens…
A Survey of 3D Reconstruction with Event Cameras
Chuanzhi Xu, Haoxian Zhou, Langyi Chen +7
Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable of asynchronously capturing per-pixel brightness changes. Compared to traditio…
Exploiting Spatiotemporal Properties for Efficient Event-Driven Human Pose Estimation
Haoxian Zhou, Chuanzhi Xu, Langyi Chen +4
Human pose estimation focuses on predicting body keypoints to analyze human motion. Currently, most pose estimation tasks rely on conventional RGB cameras. In contrast, event camer…
Ultralight Polarity-Split Neuromorphic SNN for Event-Stream Super-Resolution
Chuanzhi Xu, Haoxian Zhou, Langyi Chen +2
Event cameras offer unparalleled advantages such as high temporal resolution, low latency, and high dynamic range. However, their limited spatial resolution poses challenges for fi…
Towards End-to-End Neuromorphic Event-based 3D Object Reconstruction Without Physical Priors
Chuanzhi Xu, Langyi Chen, Haodong Chen +2
Neuromorphic cameras, also known as event cameras, are asynchronous brightness-change sensors that can capture extremely fast motion without suffering from motion blur, making them…