Welcome to SpikeCV !

SpikeCV is a new open-source computer vision platform for the spike camera. You can Learn more about SpikeCV here.

Good News Coming!

  • 2024.2

    CVPR 2024 x 6 were accepted! Congratulations to Jiyuan Zhang, Changqing Su, Yanchen Dong, Rui Zhao, Yakun Chang, and Lin Zhu!

  • 2023.12

    AAAI 2024 x 5 were accepted! Congratulations to Jiyuan Zhang, Junwei Zhao, Yanchen Dong, Rui Zhao, and Lin Zhu!

  • 2023.9

    NeurIPS 2023 x 2 were accepted! Congratulations to Shiyan Chen, Jiyuan Zhang, and Lujie Xia!

  • 2023.7

    ACM MM 2023 x 1 was accepted! Congratulations to Junwei Zhao!

  • 2023.5

    TCSVT x 1 was accepted! Congratulations to Junwei Zhao!

  • 2023.1

    TPAMI x 1 was accepted! Congratulations to Yajing Zheng!

Updating Logs

    • 2024.6.27

      Providing dataset for color spike camera reconstruction, which consists of 28 Bayer-pattern spike stream (BSS) clips."

    • 2024.6.27

      Adding algorithm in "Learning a Deep Demosaicing Network for Spike Camera with Color Filter Array (TIP 24, Dong, et al.)". It includes train/evaluate codes for CSpkNet.

    • 2024.6.13

      Adding algorithm in "Recognizing High-Speed Moving Objects with Spike Camera (ACM MM 23, Zhao, et al.)". It includes train/evaluate codes for HSSR.

    • 2024.6.13

      Adding algorithm in "SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects with Spike Cameras (TCSVT 23, Zhao, et al.)". It includes train/evaluate codes for SpiReco.

    • 2023.12.27

      Adding algorithm in "Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream (TCSVT 21, Xiang, et al.)". It includes test codes for SRR.

About Us


We are the research team from Peking University. To build up a community ecology for the spike vision to facilitate more users to take advantage of the spike camera, our built SpikeCV provides a variety of ultra-high-speed scene datasets, hardware interfaces, and an easy-to-use modules library. SpikeCV focuses on encapsulation for spike data, standardization for dataset interfaces, modularization for vision tasks, and real-time applications for challenging scenes, which can be used as a Python library to fulfilled most of the numerical analysis needs of researchers

“工欲善其事,必先利其器。”

《论语》

Our Services


Integration

We are committed to integrating algorithms, hardware and data into a unified interface for user utilization.

Community

We offer open-source platform to the community for development.

Examples

We offer examples for using spike cameras to solve real visual tasks.