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 bachelor and master 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

Improve Accurate Pose Alignment and Action Localization by Dense Pose Estimation

Y. Zhou, J. Deng, S. Zafeiriou. FG'2018. 2018.

Bibtex reference [hide]
@inproceedings{yuxiang2018,
    author = {Y. Zhou and J. Deng and S. Zafeiriou},
    booktitle = {FG'2018},
    title = {Improve Accurate Pose Alignment and Action Localization by Dense Pose Estimation},
    year = {2018},
}
Endnote reference [hide]

Cascade Multi-view Hourglass Model for Robust 3D Face Alignment

J. Deng, Y. Zhou, S. Cheng, S. Zafeiriou. FG'2018. 2018.

Bibtex reference [hide]
@inproceedings{jiankangfg2018,
    booktitle = {FG'2018},
    title = {Cascade Multi-view Hourglass Model for Robust 3D Face Alignment},
    year = {2018},
}
Endnote reference [hide]

The 3d menpo facial landmark tracking challenge

S. Zafeiriou, G. Chrysos, A. Roussos, E. Ververas, J. Deng, G. Trigeorgis. 2017 IEEE International Conference on Computer Vision Workshops (ICCV-W). 2017.

Bibtex reference [hide]
@inproceedings{3dmenpo,
    author = {S. Zafeiriou and G. Chrysos and A. Roussos and E. Ververas and J. Deng and G. Trigeorgis},
    booktitle = {2017 IEEE International Conference on Computer Vision Workshops (ICCV-W)},
    title = {The 3d menpo facial landmark tracking challenge},
    year = {2017},
}
Endnote reference [hide]

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). 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)},
    month = {July},
    title = {AgeDB: the first manually collected, in-the-wild age database},
    year = {2017},
}
Endnote reference [hide]