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Dr. Yujiang Wang
Past Member
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.
Audiovisual human behaviour analysis:
Non-linguistic vocalisation recognition
Biometrics & Behaviometrics:
Subspace learning for face recognition
Publications
Journal articles
Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation
Y. Wang, M. Dong, J. Shen, Y. Lin, M. Pantic. arXiv preprint arXiv:2006.03708. 2020.
author = {Y. Wang and M. Dong and J. Shen and Y. Lin and M. Pantic},
journal = {arXiv preprint arXiv:2006.03708},
title = {Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation},
year = {2020},
}
End-to-end visual speech recognition for small-scale datasets
S. Petridis, Y. Wang, P. Ma, Z. Li, M. Pantic. Pattern Recognition Letters. 131: pp. 421 - 427, 2020.
author = {S. Petridis and Y. Wang and P. Ma and Z. Li and M. Pantic},
pages = {421--427},
journal = {Pattern Recognition Letters},
publisher = {Elsevier},
title = {End-to-end visual speech recognition for small-scale datasets},
volume = {131},
year = {2020},
}
Learning Local Metrics and Influential Regions for Classification
M. Dong, Y. Wang, X. Yang, J. Xue. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2019.
author = {M. Dong and Y. Wang and X. Yang and J. Xue},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
publisher = {IEEE},
title = {Learning Local Metrics and Influential Regions for Classification},
year = {2019},
}
Face Mask Extraction in Video Sequence
Y. Wang, B. Luo, J. Shen, M. Pantic. International Journal of Computer Vision (IJCV). 127: pp. 625 - 641, 2019.
author = {Y. Wang and B. Luo and J. Shen and M. Pantic},
pages = {625--641},
journal = {International Journal of Computer Vision (IJCV)},
publisher = {Springer US},
title = {Face Mask Extraction in Video Sequence},
volume = {127},
year = {2019},
}
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.
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},
}
Conference articles
Lip-reading with Densely Connected Temporal Convolutional Networks
P. Ma, Y. Wang, J. Shen, S. Petridis, M. Pantic. The IEEE Winter Conference on Applications of Computer Vision (WACV). 2021.
author = {P. Ma and Y. Wang and J. Shen and S. Petridis and M. Pantic},
booktitle = {The IEEE Winter Conference on Applications of Computer Vision (WACV)},
title = {Lip-reading with Densely Connected Temporal Convolutional Networks},
year = {2021},
}
Generalization Bound of Gradient Descent for Non-Convex Metric Learning
M. Dong, Y. Xiaochen, Z. Rui, Y. Wang, J. Xue. Advances in Neural Information Processing Systems (NIPS). 2020.
author = {M. Dong and Y. Xiaochen and Z. Rui and Y. Wang and J. Xue},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
title = {Generalization Bound of Gradient Descent for Non-Convex Metric Learning},
year = {2020},
}
Dynamic Face Video Segmentation via Reinforcement Learning
Y. Wang, M. Dong, J. Shen, Y. Wu, S. Cheng, M. Pantic. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 6959 - 6969, 2020.
author = {Y. Wang and M. Dong and J. Shen and Y. Wu and S. Cheng and M. Pantic},
pages = {6959--6969},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Dynamic Face Video Segmentation via Reinforcement Learning},
year = {2020},
}
Shape constrained network for eye segmentation in the wild
B. Luo, J. Shen, S. Cheng, Y. Wang, M. Pantic. The IEEE Winter Conference on Applications of Computer Vision (WACV). pp. 1952 - 1960, 2020.
author = {B. Luo and J. Shen and S. Cheng and Y. Wang and M. Pantic},
pages = {1952--1960},
booktitle = {The IEEE Winter Conference on Applications of Computer Vision (WACV)},
title = {Shape constrained network for eye segmentation in the wild},
year = {2020},
}
The ibug eye segmentation dataset
B. Luo, J. Shen, Y. Wang, M. Pantic. 2018 Imperial College Computing Student Workshop (ICCSW 2018). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2019.
author = {B. Luo and J. Shen and Y. Wang and M. Pantic},
booktitle = {2018 Imperial College Computing Student Workshop (ICCSW 2018)},
organization = {Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik},
title = {The ibug eye segmentation dataset},
year = {2019},
}
End-to-End Multi-View Lipreading
S. Petridis, Y. Wang, Z. Li, M. Pantic. British Machine Vision Conference. London, September 2017.
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},
}
End-to-End Audiovisual Fusion With LSTMs
S. Petridis, Y. Wang, Z. Li, M. Pantic. Auditory-Visual Speech Processing Conference. Stockholm, August 2017.
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},
}