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Dr. Mengjiao Wang
Past Member
Biography
Mengjiao Wang obtained her BSc in Mathematics and Computer Science at Imperial College London in 2012. After working in industry for a couple of years, she completed her MSc in Computational Statistics and Machine Learning at University College London in 2015. Currently, she is a PhD candidate in Machine Learning and Vision at Imperial College London. Her research focus is on disentangling variations such as lighting, expression and identity from images.
Publications
Journal articles
An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations
M. Wang, Z. Shu, S. Cheng, Y. Panagakis, D. Samaras, S. Zafeiriou. International Journal of Computer Vision. Feb 2019.
author = {M. Wang and Z. Shu and S. Cheng and Y. Panagakis and D. Samaras and S. Zafeiriou},
journal = {International Journal of Computer Vision},
month = {Feb},
title = {An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations},
url = {https://doi.org/10.1007/s11263-019-01163-7},
year = {2019},
}
Disentangling the Modes of Variation in Unlabelled Data
M. Wang, Y. Panagakis, P. Snape, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018.
author = {M. Wang and Y. Panagakis and P. Snape and S. Zafeiriou},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
title = {Disentangling the Modes of Variation in Unlabelled Data},
year = {2018},
}
Conference articles
Learning the Multilinear Structure of Visual Data
M. Wang, Y. Panagakis, P. Snape, S. Zafeiriou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 2017.
author = {M. Wang and Y. Panagakis and P. Snape and S. Zafeiriou},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
title = {Learning the Multilinear Structure of Visual Data},
year = {2017},
}