Event-based vision is a rapidly developing field that utilizes event cameras to capture visual information. This repository aims to centralize resources related to event-based vision, including research papers, workshops, datasets, and code. We curate links to relevant publications, events, and tools to facilitate knowledge sharing and accelerate innovation in this area. The core problem addressed is the need for a comprehensive and easily accessible resource for researchers and developers working with event cameras and event-based systems.
This repository provides a consolidated list of resources, spanning survey papers, workshops, datasets, and software tools. It covers a wide range of applications, algorithms, and associated technologies. The repository is actively maintained with updates to new events, publications, and relevant links. Links to institutions and related organizations are also provided to enhance discovery.
- Survey Paper: Comprehensive reviews of event-based vision concepts and progress.
- Workshops: Information on upcoming and past workshops dedicated to event-based vision research.
- Datasets: Links to publicly available datasets for event-based vision applications.
- Software: Collection of software tools, drivers, and libraries for event camera processing.
- Applications/Algorithms: Coverage of diverse applications like object detection, tracking, and SLAM.
- Neuromorphic Systems: Resources related to neuromorphic computing and its application to event-based vision.
- Theses and Dissertations: A hub for academic research on event-based vision.
The repository is actively maintained, with recent additions of workshop information and links. The content is primarily curated from external sources and reflects the current state of the field. The project benefits from community contributions through links to external resources and is monitored for outdated links or information. The goal is to maintain a current and relevant resource.
This repository is valuable for researchers, students, and developers interested in event-based vision. It provides a starting point for exploring the field, discovering relevant publications and resources, and connecting with the event-based vision community. Users can readily access comprehensive information, saving time and effort in searching for resources.