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MPEblink is the first dataset for multi-person eyeblink detection in untrimmed in-the-wild videos. The data is released for non-commercial research purposes only. For any questions, please contact {wenzhengzeng, Yang_Xiao}@hust.edu.cn. If you find this dataset useful in your research, please consider to cite our paper: @inproceedings{zeng2023real, title={Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video}, author={Zeng, Wenzheng and Xiao, Yang and Wei, Sicheng and Gan, Jinfang and Zhang, Xintao and Cao, Zhiguo and Fang, Zhiwen and Zhou, Joey Tianyi}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={13854--13863}, year={2023} }
Eyeblink detection, Eyeblink in the wild, Multi-person eyeblink detection for untrimmed video
Eyeblink detection, Eyeblink in the wild, Multi-person eyeblink detection for untrimmed video
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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