- CVPR 2025 Workshop on Event-based Vision
Event-based cameras are bio-inspired, asynchronous sensors that offer key advantages of microsecond temporal resolution, low latency, high dynamic range and low power consumption
- CVPR Poster Active Hyperspectral Imaging Using an Event Camera
In this work, we present a novel event-based active hyperspectral imaging system designed for real-time capture with low bandwidth in dynamic scenes By combining an event camera with a dynamic illumination strategy, our system achieves unprecedented temporal resolution while maintaining high spectral fidelity, all at a fraction of the
- CVPR 2025 Open Access Repository
Cross-platform adaptation in event-based dense perception is crucial for deploying event cameras across diverse settings, such as vehicles, drones, and quadrupeds, each with unique motion dynamics, viewpoints, and class distributions
- GitHub - Event-AHU OpenEvDET: [CVPR 2025] Event Stream based Object . . .
[CVPR 2025] Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset, Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian [Paper]
- Event-Based Eye Tracking. 2025 Event-based Vision Workshop
This survey serves as a review for the 2025 Event-Based Eye Tracking Challenge organized as part of the 2025 CVPR event-based vision workshop This challenge focuses on the task of predicting the pupil center by processing event camera recorded eye movement
- Event
Cross-platform adaptation in event-based perception is crucial for deploying event cameras across diverse settings, such as Vehicles, Drones, and Quadrupeds, each with unique motion dynamics, viewpoints, and class distributions In this work, we introduce EventFly, a framework for robust cross-platform adaptation in event camera perception
- CVPRW 2025 SLAM Challenge · M3ED
The goal of this challenge is to leverage the high temporal and spatial resolution of HD event cameras for SLAM and pose estimation applications This challenge is part of the CVPR 2025 Workshop on Event-based Vision
- CVPR 2025 爆点！中科大团队用事件相机改写低光成像规则，RETINEV 让暗场图像秒变高清-CSDN博客
本文聚焦中科大团队发表于CVPR 2025的论文《Low-light image enhancement using event-based illumination estimation》，深入解析其提出的RETINEV框架。 该方法通过事件相机的“时间映射事件”估计光照，结合Retinex理论实现低光图像的高质量增强，为低光视觉任务提供了全新的技术路径。 低光图像增强（LLIE）是 计算机视觉 的基础难题，传统方法依赖图像本身或运动事件，存在光照估计不准确、依赖场景运动等局限。 事件相机（Event Camera）作为一种新型传感器，虽具备高动态范围和低光敏感性，但其潜力在LLIE中尚未充分释放。
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