Jiankang Deng

Mr. Jiankang Deng

Position:

Research Assistant / PhD Student

Email:

Biography

Jiankang Deng is a PhD candidate, supervised by Stefanos Zafeiriou and funded by the Imperial President's PhD Scholarships. His research topic is face image analysis.

Before coming to IBUG, he obtained his master and bachelor degrees from Nanjing University of Information Science and Technology. During his master study, he was supervised by Prof. Qingshan Liu in the BDAT Lab and worked closely with Prof. Dacheng Tao.

Projects:

epsrc-facer2vm

Publications

Conference articles

Marginal Loss for Deep Face Recognition

J. Deng, Y. Zhou, S. Zafeiriou. Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR-W 2017). 2017.

Bibtex reference [hide]
@inproceedings{deng2017,
    author = {J. Deng and Y. Zhou and S. Zafeiriou},
    booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR-W 2017)},
    title = {Marginal Loss for Deep Face Recognition},
    year = {2017},
}
Endnote reference [hide]

AgeDB: the first manually collected, in-the-wild age database

S. Moschoglou, A. Papaioannou, C. Sagonas, J. Deng, I. Kotsia, S. Zafeiriou. Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR-W 2017). Honolulu, Hawaii, July 2017.

Bibtex reference [hide]
@inproceedings{AgeDB,
    author = {S. Moschoglou and A. Papaioannou and C. Sagonas and J. Deng and I. Kotsia and S. Zafeiriou},
    address = {Honolulu, Hawaii},
    booktitle = {Proceedings of IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR-W 2017)},
    month = {July},
    title = {AgeDB: the first manually collected, in-the-wild age database},
    year = {2017},
}
Endnote reference [hide]