I am now a Tenure-track Assistant Professor (Ph.D. Supervisor) in Wangxuan Institute of Computer Technology, Peking University. Also a member of MIPL Group (led by Prof. Yuxin Peng) at Peking University.
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 interests include computer vision, natural language processing and machine learning, with an emphasis on how these areas can collaborate best to perform real-world tasks. Below are some of my recent research topic:
We are always actively recruiting postdocs, Prospective graduate students and interns!
Welcome to contact me with your detailed CV! Please read this Note first!
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Video Activity Localisation with Uncertainties in Temporal Boundary (Accepted) Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu† European Conference on Computer Vision (ECCV), 2022 [ PDF] [ Code] |
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Delving into the Continuous Domain Adaptation (Accepted) Yinsong Xu, Zhuqing Jiang, Aidong Men, Yang Liu,Qingchao Chen ACM International Conference on Multimedia (ACM-MM), 2022 [ PDF] [ Bibtex] |
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Phrase-level Prediction for Video Temporal Localization Sizhe Li, Chang Li, Minghang Zheng, Yang Liu† ACM International Conference on Multimedia Retrieval (ICMR), 2022 [ PDF] [ Bibtex] |
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Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning Minghang Zheng, Yanjie Huang, Qingchao Chen, Yuxin Peng, Yang Liu† IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [ PDF] [Project Page] [Code] [ Bibtex] |
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Cross Modal Retrieval with Querybank Normalisation Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu†, Samuel Albanie† IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [ PDF] [Project Page] [Code] [ Bibtex] |
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Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu† Conference on Artificial Intelligence (AAAI), 2022 [ PDF] [Project Page] [Code] [ Bibtex] |
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TeachText: CrossModal Generalized Distillation for Text-Video Retrieval Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu† International Conference on Computer Vision (ICCV), 2021 [ PDF] [Project Page] [Code] [ Bibtex] |
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Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation Jiabo Huang, Yang Liu†, Shaogang Gong, Hailin Jin International Conference on Computer Vision (ICCV), 2021 [ PDF] [ Bibtex] |
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Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval Yang Liu*, Qingchao Chen*, Samuel Albanie IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [pdf] [Bibtex] |
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Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval Qingchao Chen*, Yang Liu*, Samuel Albanie Conference on Artificial Intelligence (AAAI), 2021 [pdf] [Bibtex] |
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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), 2021 [pdf] [Project Page ] [Audio Description Service ] [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] [Project Page] [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] [ Bibtex] |
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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] [ Bibtex] |
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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] [Bibtex] |
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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] [Bibtex] |
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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] |
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Mentor: Prof. Andrew Zisserman |
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Mentors: Zhaowen Wang, Hailin Jin |
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Mentor: Dr. Ian Wassell |
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