I am now a Tenure-track Assistant Professor (Ph.D. Advisor) in Wangxuan Institute of Computer Technology, Peking University. I am also a faculty member of Multimedia Information Processing Lab at Peking University led by Prof. Yuxin Peng.
Before joining Peking University, I was a Postdoctoral Researcher in the Visual Geometry Group (VGG) at University of Oxford, supervised by Prof. Andrew Zisserman. I received PhD and MPhil in Advanced Computer Science from University of Cambridge, and B.Eng. in Telecommunication Engineering from Beijing University of Posts and Telecommunications (BUPT).
My research focuses on Discriminative Feature Learning for image and video understanding. I am also interested in deep learning and human visual perception.
We are always actively recruiting postdocs, Ph.D. students and interns! Welcome to contact me with your detailed CV!
QuerYD: A video dataset with high-quality textual and audio narrations Andreea-Maria Oncescu, Joao F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 [pdf] [Project Page with dataset ] [Bibtex] |
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Amplifying Key Cues for Human-Object-Interaction Detection Yang Liu, Qingchao Chen, and Andrew Zisserman European Conference on Computer Vision (ECCV), 2020 [ PDF] [Supplementary Material] [gate.io es seguro] [Video] [ Bibtex] |
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Structure-Aware Feature Fusion for Unsupervised Domain Adaptation Qingchao Chen*, Yang Liu* Conference on Artificial Intelligence (AAAI), 2020 [PDF] [Bibtex] |
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Use what you have: Video retrieval using representations from collaborative experts Yang Liu*, Samual Albanie*, Arsha Nagrani, and Andrew Zisserman British Machine Vision Conference (BMVC), 2019 [ PDF] [Project Page] [Code] [Challenge] [Challenge Report] [gate.io delete account] |
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Synthetically Supervised Feature Learning for Scene Text Recognition Yang Liu, Zhaowen Wang, Hailin Jin, and Ian Wassell European Conference on Computer Vision (ECCV), 2018 [ PDF] [ Bibtex] |
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Multi-Task Adversarial Network for Disentangled Feature Learning Yang Liu, Zhaowen Wang, Hailin Jin, and Ian Wassell IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [ PDF] [ Bibtex] |
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Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation Qingchao Chen*, Yang Liu*, Zhaowen Wang, Ian Wassell and Kevin Chetty IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [ PDF] [gate ios] |
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Discriminant Dictionary Learning meets CNN in Scene Recognition Yang Liu, Qingchao Chen, Wei Chen and Ian Wassell Conference on Artificial Intelligence (AAAI), 2018 [PDF] [Bibtex] |
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Joint fall and aspect angle recognition using fine-grained micro-Doppler classification Qingchao Chen, Matthiew Ritchie, Yang Liu, Kevin Chetty, Karl Woodbridge, IEEE Radar Conference (RadarConf), 2017 [PDF] [DOI] [Bibtex] |
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Simultaneous Bayesian Sparse Approximation With Structured Sparse Models Wei Chen, David Wipf, Yu Wang, Yang Liu and Ian Wassell IEEE Transactions on Signal Processing (TIP), 2016 [PDF] [DOI] [gate io coinmarketcap] |
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Support Discrimination Dictionary Learning for Image Classification Yang Liu, Wei Chen, Qingchao Chen and Ian Wassell European Conference on Computer Vision (ECCV), 2016 [PDF] [DOI] [dogi gate.io] |
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A New Face Recognition Algorithm based on Dictionary Learning for a Single Training Sample per Person Yang Liu and Ian Wassell British Machine Vision Conference (BMVC), 2015 [PDF] [DOI] [Bibtex] |
Mentors: Zhaowen Wang, Hailin Jin |
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