整理国内事件相机研究团队（和个人）。逐步整理，欢迎大家提供素材。
个人整理，难免存在疏漏，请指出。

相关链接：国内事件相机相关公司与企业

由于个人研究内容变化，此repo暂时不计划更新。

明确围绕事件相机进行相关研究的团队。

Team Leader：施柏鑫（研究员）
实验室主页：https://ci.idm.pku.edu.cn/index.htm
部分研究成果：

• Duan, P., Wang, Z. W., Zhou, X., Ma, Y., Shi, B.,
  EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events,
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021. Project page, Suppl.
• Wang, Z. W., Duan, P., Cossairt, O., Katsaggelos, A., Huang, T., Shi, B.,
  Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging,
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2020. YouTube, Dataset
• Han, J., Zhou, C., Duan, P., Tang, Y., Xu, C., Xu, C., Huang, T., Shi, B.,
  Neuromorphic Camera Guided High Dynamic Range Imaging,
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2020. PDF, Suppl. Mat.
• Zhao, J., Xiong, R., Xie, J., Shi, B., Yu, Z, Gao, W., Huang, T.,
  Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera,
  IEEE Transactions on Computational Imaging (TCI), 2021. PDF

Team Leader：施路平（教授）
实验室主页：暂缺待填补
部分研究成果：

• Li, H, Liu, H., Ji, X., Li, G., Shi, L.,
  CIFAR10-DVS: An Event-Stream Dataset for Object Classification,
  Frontiers in Neuroscience (Front. Neurosci.), 2017. Dataset
• Wu, Z., Zhang, H., Lin, Y., Li, G., Wang, M., Tang, Y.,
  LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
  IEEE Transactions on Neural Networks and Learning Systems 2021.
• Yang, Z., Wu, Y., Wang, G., Yang, Y., Li, G., Deng, L., Zhu, J., Shi, L.,
  DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking,
  IEEE Transactions on Neural Networks and Learning Systems 2021. PDF

Team Leader：Laurent Kneip (Prof.)
实验室主页：https://mpl.sist.shanghaitech.edu.cn/
部分研究成果：

• Zuo, Y., Yang, J., Chen, J., Wang, X., Wang, Y., Kneip, L.,
  DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions,
  IEEE Int. Conf. Robotics and Automation (ICRA), 2022. PDF, YouTube
• Huang, K., Wang, Y., Kneip, L.,
  Dynamic Event Camera Calibration,
  IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2021. Video, Code.
• Zuo, Y., Cui, L., Peng, X., Xu, Y., Gao, S., Wang, X., Kneip, L.,
  Accurate depth estimation from a hybrid event-RGB stereo setup,
  IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2021.

Team Leader：陈广（研究员）
实验室主页：https://ispc-group.github.io/
部分研究成果：

• Liu, P., Chen, G., Li, Z., Tang, H., Knoll, A.,
  Learning Local Event-based Descriptor for Patch-based Stereo Matching,
  EEE International Conference on Robotics and Automation (ICRA), 2022.
• Cao, H., Chen, G., Li, Z., Hu, Y., Knoll, A.,
  NeuroGrasp: Multi-modal Neural Network with Euler Region Regression for Neuromorphic Vision-based Grasp Pose Estimation,
  IEEE Transactions on Instrumentation & Measurement, 2022.
• Chen, G., Qu, S., Li, Z., Zhu, H., Dong, J., Liu, M., Conradt, J.,
  Neuromorphic Vision-based Fall Localization in Event Streams with Temporal Spatial Attention Weighted Network,
  IEEE TRANSACTIONS ON CYBERNETICS, 2022. Code
• Cao, H., Chen, G., Xia, J., Zhuang, G., Knoll, A.,
  Fusion-based Feature Attention Gate Component for Vehicle Detection based on Event Camera,
  IEEE Sensors Journal, 2021.

Team Leader：沈益冉（教授）
个人主页：http://yiranshen.academic.site
部分研究成果：

• Wang. Y., Zhang, X., Shen, Y., Du, B., Zhao, G., Lizhen, L. C. C., Wen, H.,
  Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks,
  IEEE Trans. Pattern Anal. Machine Intell. (TPAMI), 2021. Code.
• Wang, Y., Du, B., Shen, Y., Wu, K., Zhao, G., Sun, J., Wen, H.,
  EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors,
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2019.

Team Leader：刘晓光（教授）
个人主页：https://sme.sustech.edu.cn/en/index/teacher/neiye/id/72.html
News：签约南方科技大学，“锐思智芯-深港微电子学院联合实验室”正式成立
部分研究成果：待产出

Team Leader：杨鑫（教授）
个人主页：https://xinyangdut.github.io，学校官网
部分研究成果：

• Ding, J., Dong, B., Heide, F., Ding, Y., Zhou, Y., Yin, B., Yang, X.,
  Biologically Inspired Dynamic Thresholds for Spiking Neural Networks,
  NeurIPS, 2022. Project Page 1, Project Page 2, PDF.

• Zhang, J., Dong, B., Zhang, H., Ding, J., Heide, F., Yin, B., Yang, X.,
  Spiking Transformers for Event-based Single Object Tracking,
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2022. CodeYoutube PDF.

• Zhang, J., Yang, X., Fu, Y., Wei, X., Yin, B., Dong, B.,
  Object Tracking by Jointly Exploiting Frame and Event Domain,
  IEEE International Conference on Computer Vision (ICCV), 2021. dataset code

• 朱强, 王超毅, 张吉庆, 尹宝才, 魏小鹏, 杨鑫.基于事件相机的无人机目标跟踪[J]. 浙江大学学报（理学版）. 2022, 49(01).

没有明确围绕事件相机进行相关研究的团队，但个人主页有提到相关研究方向，且相关论文有3+篇

个人主页：https://sites.google.com/view/xiaowanghomepage
github：https://github.com/wangxiao5791509
部分研究成果：

• Zhu, L., Wang, X., Chang, Y., Li J., Huang, T., Tian, Y.,
  Event-based Video Reconstruction via Potential-assisted Spiking Neural Network,
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2022. PDF
• Wang, X., Li, J., Zhu, L., Zhang, Z., Chen, Z., Li, X., Wang, Y., Tian, Y., Wu, Feng.,
  VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows,
  arXiv 2021. PDF, Dataset
• Li, J., Wang, X., Zhu, L., Li, J., Huang, T., Tian, Y.,
  Retinomorphic Object Detection in Asynchronous Visual Streams,
  Association for the Advancement of Artificial Intelligence (AAAI) 2022.

Team Leader：黄铁军（教授）
个人主页： 北大官网 Google Scholar
部分研究成果：

• Li, J., Li, J., Zhu, L., Xiang, X., Huang, T., Tian Y.,
  Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection,
  IEEE Transactions on Image Processing. 2022.
• Fang, W., Yu, Z., Chen, Y., Huang, T., Masquelier, T., Tian, Y.,
  Deep residual learning in spiking neural networks,
  NeurlPS 2021. PDF
• Zhu, L., Wang, X., Chang, Y., Li J., Huang, T., Tian, Y.,
  Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
  IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2022. PDF

教师首页： http://faculty.neu.edu.cn/fangzheng/zh_CN/index/55328/list/index.htm
部分研究成果：

• 孔德磊,方正. 基于事件的视觉传感器及其应用综述[J]. 信息与控制,2021,50(01):1-19. DOI:10.13976/j.cnki.xk.2021.0069.
• Harrigan, S., Coleman, S., Kerr, D., Yogarajah, P., Fang, Z., Wu, C.,
  Reducing-Over-Time Tree for Event-based Data,
  International Conference on Pattern Recognition (ICPR), 2020.
• Kong, D., Fang, Z., Li, H., Hou, K., Coleman, S., Kerr, D.,
  Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition,
  arXiv, 2020. PDF

个人主页：https://zhangyulb.github.io/
部分研究成果：

• Yu, Z., Zhang, Y., Xiang, X., Zou, D., Chen, X., Ren, J.,
  Deep Bayesian Video Frame Interpolation,
  European Conference on Computer Vision (ECCV), 2022.
• Yu, Z., Zhang, Y., Liu, D., Zou, D., Chen, X., Liu, Y., Ren, J.,
  Training Weakly Supervised Video Frame Interpolation with Events,
  IEEE International Conference on Computer Vision (ICCV), 2021. PDF Code
• Gu, D., Li, J., Zhang, Y., Tian, Y.,
  How to Learn a Domain Adaptive Event Simulator,
  Proceedings of the ACM International Conference on Multimedia (ACM MM), 2021. Code

Training Weakly Supervised Video Frame Interpolation with Events

Thanks for following people who provide useful links:
lyh983012, from CBICR
Prof. Guang Chen from IPC
Ding, J. from Prof. Yang's group in DUT.

整理本文档目的仅为学术交流，先后顺序也仅为我整理时发现的先后顺序。
如有不当之处，请联系修改或删除(jfjxxdy2007@126.com)。