Dr Xin Yu
Dr

Xin Yu

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Background

My name is Xin Yu, a Senior Lecturer at the University of Queensland. I am an Australian Research Council Discovery Early Career Researcher Award 2023-2025 (DECRA) recipient and an awardee of the prestigious Google Research Scholar Program in 2021. I am also a Google Visiting Faculty. Previously, I was a research fellow at the Australian National University (ANU). I received my PhD degree from the Australian National Unversity under the supervision of Prof. Richard Hartley, Prof. Fatih Porikli and Dr. Basura Fernando. I also received a PhD degree from Tsinghua University supervised by Prof. Li Zhang. I am interested in Computer Vision and Machine Learning topics.

My research topics includes various computer vision and machine learning tasks, especially in efficient low-level image processing, image retrieval and localization, action recognition, 3D pose estimation, visual navigation and sign language recognition and translation.

Availability

Dr Xin Yu is:
Available for supervision

Research impacts

One of my research papers has been awarded "Best Paper Honorable Mention" award in the premium computer vision conference WACV 2020, and one paper has been nominated for the Best Paper Award in CVPR 2020.

I was awarded the Outstanding Reviewer Award in ECCV 2020, CVPR 2021 and ICCV 2021. CVPR, ICCV and ECCV are internationally world-leading computer vision and machine learning conferences. My research interests include deep learning techniques, image processing, and computer vision tasks. I am a program committee member of top-tier computer vision and machine learning conferences, such as CVPR, ICCV, ECCV, ICML, ICLR and NeurIPS, and a reviewer of prestigious journals, such as TPAMI, IJCV and TIP.

I am happy to supervise self-motivated PhD and MPhil students. If you are an undergraduate student and willing to conduct your honour project, please drop me an email.

Search Professor Xin Yu’s works on UQ eSpace

152 works between 2011 and 2025
All (152) Journal Article (56) Book Chapter (3) Conference Publication (93)

141 - 152 of 152 works

2017

Conference Publication

Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders

Yu, Xin and Porikli, Fatih (2017). Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI United States, 21-26 July 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CVPR.2017.570

Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders

2017

Conference Publication

Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks

Yu, Xin and Porikli, Fatih (2017). Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks. 31st AAAI Conference on Artificial Intelligence, San Francisco, CA United States, 4-9 February 2017. Palo Alto, CA United States: AAAI Press. doi: 10.1609/aaai.v31i1.11206

Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks

2017

Conference Publication

Face Destylization

Shiri, Fatemeh, Yu, Xin, Koniusz, Piotr and Porikli, Fatih (2017). Face Destylization. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Sydney, NSW Australia, 29 November - 1 December 2017. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2017.8227432

Face Destylization

2016

Conference Publication

Ultra-Resolving Face Images by Discriminative Generative Networks

Yu, Xin and Porikli, Fatih (2016). Ultra-Resolving Face Images by Discriminative Generative Networks. 14th European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, 8-16 October 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46454-1_20

Ultra-Resolving Face Images by Discriminative Generative Networks

2015

Journal Article

Multi-local-task learning with global regularization for object tracking

Zhang, Shunli, Sui, Yao, Zhao, Sicong, Yu, Xin and Zhang, Li (2015). Multi-local-task learning with global regularization for object tracking. Pattern Recognition, 48 (12), 3881-3894. doi: 10.1016/j.patcog.2015.06.005

Multi-local-task learning with global regularization for object tracking

2015

Journal Article

Self-expressive tracking

Sui, Yao, Zhao, Xiaolin, Zhang, Shunli, Yu, Xin, Zhao, Sicong and Zhang, Li (2015). Self-expressive tracking. Pattern Recognition, 48 (9), 2872-2884. doi: 10.1016/j.patcog.2015.03.007

Self-expressive tracking

2015

Journal Article

Hybrid support vector machines for robust object tracking

Zhang, Shunli, Sui, Yao, Yu, Xin, Zhao, Sicong and Zhang, Li (2015). Hybrid support vector machines for robust object tracking. Pattern Recognition, 48 (8), 2474-2488. doi: 10.1016/j.patcog.2015.02.008

Hybrid support vector machines for robust object tracking

2015

Journal Article

Object Tracking With Multi-View Support Vector Machines

Zhang, Shunli, Yu, Xin, Sui, Yao, Zhao, Sicong and Zhang, Li (2015). Object Tracking With Multi-View Support Vector Machines. IEEE Transactions On Multimedia, 17 (3), 265-278. doi: 10.1109/TMM.2015.2390044

Object Tracking With Multi-View Support Vector Machines

2015

Journal Article

Removing blur kernel noise via a hybrid l(p) norm

Yu, Xin, Zhang, Shunli, Zhao, Xiaolin and Zhang, Li (2015). Removing blur kernel noise via a hybrid l(p) norm. Journal of Electronic Imaging, 24 (1) 013011. doi: 10.1117/1.JEI.24.1.013011

Removing blur kernel noise via a hybrid l(p) norm

2014

Journal Article

Handling noise in single image defocus map estimation by using directional filters

Yu, Xin, Zhao, Xiaolin, Sui, Yao and Zhang, Li (2014). Handling noise in single image defocus map estimation by using directional filters. Optics Letters, 39 (21), 6281-6284. doi: 10.1364/OL.39.006281

Handling noise in single image defocus map estimation by using directional filters

2014

Journal Article

Efficient Patch-Wise Non-Uniform Deblurring for a Single Image

Yu, Xin, Xu, Feng, Zhang, Shunli and Zhang, Li (2014). Efficient Patch-Wise Non-Uniform Deblurring for a Single Image. Ieee Transactions On Multimedia, 16 (6), 1510-1524. doi: 10.1109/TMM.2014.2321734

Efficient Patch-Wise Non-Uniform Deblurring for a Single Image

2011

Journal Article

Non-rigid Object Tracking as Salient Region Segmentation and Association

Zhao, Xiaolin, Yu, Xin, Sun, Liguo, Hu, Kangqiao, Wang, Guijin and Zhang, Li (2011). Non-rigid Object Tracking as Salient Region Segmentation and Association. IEICE Transactions on Information and Systems, E94D (4), 934-937. doi: 10.1587/transinf.E94.D.934

Non-rigid Object Tracking as Salient Region Segmentation and Association

Availability

Dr Xin Yu is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Towards Efficient Pest Detection in Agriculture

    Principal Advisor

    Other advisors: Associate Professor Sen Wang

  • Doctor Philosophy

    Multimodal foundation model design and analysis

    Principal Advisor

    Other advisors: Dr Miao Xu

  • Doctor Philosophy

    The prediction, diagnosis, and severity estimation models for plant disease

    Principal Advisor

    Other advisors: Associate Professor Sen Wang

  • Doctor Philosophy

    Advancing Human Perception: Countering Evolving Malicious Fake Visual Data

    Principal Advisor

    Other advisors: Dr Miao Xu

  • Doctor Philosophy

    Automatic Retinal Health Monitoring through Multi-modal Medical Imaging

    Principal Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh

  • Doctor Philosophy

    Understanding Human Intention and Performance

    Principal Advisor

    Other advisors: Associate Professor Sen Wang

  • Doctor Philosophy

    Combating evolving deceptive fake visual information through deepfake detection

    Principal Advisor

    Other advisors: Associate Professor Sen Wang

  • Doctor Philosophy

    Understanding Human Intention and Performance

    Principal Advisor

    Other advisors: Dr Miao Xu

  • Doctor Philosophy

    Enhancing Building Fire Safety by Utilising Machine Learning Techniques

    Principal Advisor

    Other advisors: Professor Brian Lovell

  • Doctor Philosophy

    Human Posture Recognition Applied to Physical Activity

    Principal Advisor

    Other advisors: Professor Sean Tweedy

  • Doctor Philosophy

    Two way Auslan Translation

    Principal Advisor

    Other advisors: Professor Helen Huang

  • Doctor Philosophy

    Two way Auslan Translation

    Principal Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh

  • Doctor Philosophy

    Data driven approaches for smart farming

    Associate Advisor

    Other advisors: Professor Helen Huang

  • Doctor Philosophy

    Enhancing Robustness and Generalizability in Computational Models

    Associate Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh

  • Doctor Philosophy

    Remote Sensing Analysis in computer vision

    Associate Advisor

    Other advisors: Professor Helen Huang

Enquiries

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