Event-based Vision Resources is a community-maintained knowledge repository that collects papers, workshops, datasets, code, videos, and other materials related to event-based vision technology.
The repository addresses the challenge of navigating the fragmented landscape of event-based vision research by aggregating resources in one centralized location. Rather than building software or algorithms, the project functions as a curated index that helps researchers and practitioners discover relevant work across the field. It organizes materials by category including survey papers, device manufacturers, companies, neuromorphic systems, and algorithm applications, making it easier to find both foundational knowledge and cutting-edge developments.
Developers and researchers working with event cameras or neuromorphic vision systems should use this repository as a reference point for understanding the state of the field and locating relevant prior work. It suits anyone beginning event-based vision research who needs an overview of available tools, datasets, and institutional expertise, as well as established practitioners seeking to stay current with new publications and workshops. The repository also maintains a geographic map of institutions working on event-based vision, providing context for where research is concentrated globally.
The project operates as an active community effort with regular updates to reflect new workshops, paper calls, and research outputs. The repository maintains curated lists of upcoming events and conferences dedicated to event-based vision, indicating ongoing engagement with the research community. Materials are organized across multiple dimensions—from theoretical foundations to practical applications—suggesting systematic curation rather than passive collection.
