EventCameraGroupsCN
整理国内事件相机研究团队。逐步整理
Install / Use
/learn @LarryDong/EventCameraGroupsCNREADME
国内事件相机研究团队
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。
<br>团队
明确围绕事件相机进行相关研究的团队。
智能相机实验室(CI Lab) @ 北京大学
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:
- <a name="Duan21cvpr"></a>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. - <a name="Wang20cvpr-gef"></a>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 - <a name="Han20cvpr"></a>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. - <a name="ZhaoTCI21"></a>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
类脑计算研究中心(CBICR) @ 清华大学
Team Leader:施路平(教授)
实验室主页:暂缺待填补
部分研究成果:
- <a name="Li17Neurosci"></a> 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 - <a name="Wu21Trans"></a> 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. - <a name="Zhang19ArXiv"></a> 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
Mobile Perception Lab @ 上海科技大学
Team Leader:Laurent Kneip (Prof.)
实验室主页:https://mpl.sist.shanghaitech.edu.cn/
部分研究成果:
- <a name="Zuo22icra"></a> 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 - <a name="Huang21iros"></a> Huang, K., Wang, Y., Kneip, L.,
Dynamic Event Camera Calibration,
IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2021. Video, Code. - <a name="Zuo21IROS"></a> 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.
智能感知与计算课题组(IPC) @ 同济大学
Team Leader:陈广(研究员)
实验室主页:https://ispc-group.github.io/
部分研究成果:
- <a name="Liu2022ICRA"></a> 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. - <a name="Cao22TIM"></a> 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. - <a name="Chen22TCyber"></a> 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 - <a name="Cao21Sensors"></a> 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.
山东大学-锐思智芯事件驱动视觉实验室 @ 山东大学
Team Leader:沈益冉(教授)
个人主页:http://yiranshen.academic.site
部分研究成果:
- <a name="Wang21tpami"></a>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. - <a name="Wang19cvpr"></a>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.
锐思智芯-深港微电子学院联合实验室 @ 南方科技大学
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
大连理工大学-计算机科学与技术学院,杨鑫(教授)
Team Leader:杨鑫(教授)
个人主页:https://xinyangdut.github.io,学校官网
部分研究成果:
-
<a name="Zhang22CVPR"></a> 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. -
<a name="Zhang22CVPR"></a> 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. -
<a name="Zhang21ICCV"></a> 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 -
<a name="Qiang22ZDXB"></a> 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).
个人
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
鹏城实验室,王逍 (Postdoctoral Researcher)
个人主页:https://sites.google.com/view/xiaowanghomepage
github:https://github.com/wangxiao5791509
部分研究成果:
- <a name="Zhu22CVPR"></a> 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 - <a name="Wang21Arxiv"></a> 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 - <a name="Li2022AAAI"></a> Li, J., Wang, X., Zhu, L., Li, J., Huan
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