Yujiang Wang

Mr. Yujiang Wang

Position:

Research Assistant / PhD Student

Email:

Biography

Yujiang received his BSc degree in Architecture from Tsinghua Unversity at 2010 and then worked in Beijing for several years. He obtained a distinction MSc in Adaptive Architecture and Computation from UCL at Oct. 2014, and one year later he received a second MSc with distinction in Computing Science from Imperial College. After working as a research assistant at IBUG group for half year, Yujiang started his PhD course under the supervision of Prof. Maja Pantic from Oct. 2016. His PhD research focuses on deep learning for face recognition in the wild. 

Publications

Journal articles

A real-time and unsupervised face Re-Identification system for Human-Robot Interaction

Y. Wang, J. Shen, S. Petridis, M. Pantic. Pattern Recognition Letters (Accepted). 2018.

Bibtex reference [hide]
@article{FaceReID,
    author = {M. Pantic and S. Petridis and J. Shen and Y. Wang},
    journal = {Pattern Recognition Letters (Accepted)},
    title = {A real-time and unsupervised face Re-Identification system for Human-Robot Interaction},
    year = {2018},
}
Endnote reference [hide]

Conference articles

End-to-End Multi-View Lipreading

S. Petridis, Y. Wang, Z. Li, M. Pantic. British Machine Vision Conference. London, September 2017.

Bibtex reference [hide]
@inproceedings{end2end_multiview,
    author = {S. Petridis and Y. Wang and Z. Li and M. Pantic},
    address = {London},
    booktitle = {British Machine Vision Conference},
    month = {September},
    title = {End-to-End Multi-View Lipreading},
    year = {2017},
}
Endnote reference [hide]

End-to-End Audiovisual Fusion With LSTMs

S. Petridis, Y. Wang, Z. Li, M. Pantic. Auditory-Visual Speech Processing Conference. Stockholm, August 2017.

Bibtex reference [hide]
@inproceedings{end2endAV,
    author = {S. Petridis and Y. Wang and Z. Li and M. Pantic},
    address = {Stockholm},
    booktitle = {Auditory-Visual Speech Processing Conference},
    month = {August},
    title = {End-to-End Audiovisual Fusion With LSTMs},
    year = {2017},
}
Endnote reference [hide]