Overview
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.
Works
Search Professor Xin Yu’s works on UQ eSpace
2022
Journal Article
Pro-UIGAN: progressive face hallucination from occluded thumbnails
Zhang, Yang, Yu, Xin, Lu, Xiaobo and Liu, Ping (2022). Pro-UIGAN: progressive face hallucination from occluded thumbnails. IEEE Transactions On Image Processing, 31, 3236-3250. doi: 10.1109/TIP.2022.3167280
2022
Conference Publication
Batch Multi-Fidelity Active Learning with Budget Constraints
Li, Shibo, Phillips, Jeff M., Yu, Xin, Kirby, Robert M. and Zhe, Shandian (2022). Batch Multi-Fidelity Active Learning with Budget Constraints. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Online, 28 November - 9 December 2022. Maryland Heights, MO United States: Morgan Kaufmann Publishers.
2022
Journal Article
Understanding atomic hand-object interaction with human intention
Fan, Hehe, Zhuo, Tao, Yu, Xin, Yang, Yi and Kankanhalli, Mohan (2022). Understanding atomic hand-object interaction with human intention. IEEE Transactions On Circuits and Systems for Video Technology, 32 (1), 275-285. doi: 10.1109/TCSVT.2021.3058688
2021
Conference Publication
End-to-end multi-instance robotic reaching from monocular vision
Zhuang, Zheyu, Yu, Xin and Mahony, Robert (2021). End-to-end multi-instance robotic reaching from monocular vision. IEEE International Conference on Robotics and Automation (ICRA), Xian, China, 30 May - 5 June 2021. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICRA48506.2021.9561518
2021
Conference Publication
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Wang, Suzhen, Li, Lincheng, Ding, Yu, Fan, Changjie and Yu, Xin (2021). Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion. Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. Los Angeles, CA United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/152
2021
Conference Publication
The IKEA ASM dataset: understanding people assembling furniture through actions, objects and pose
Ben-Shabat, Yizhak, Yu, Xin, Saleh, Fatemeh, Campbell, Dylan, Rodriguez-Opazo, Cristian, Li, Hongdong and Gould, Stephen (2021). The IKEA ASM dataset: understanding people assembling furniture through actions, objects and pose. IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI United States, 5-9 January 2021. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/WACV48630.2021.00089
2021
Conference Publication
Auto-navigator: decoupled neural architecture search for visual navigation
Tang, Tianqi, Yu, Xin, Dong, Xuanyi and Yang, Yi (2021). Auto-navigator: decoupled neural architecture search for visual navigation. IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI United States, 5-9 January 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/WACV48630.2021.00379
2021
Conference Publication
Modeling the probabilistic distribution of unlabeled data for one-shot medical image segmentation
Ding, Yuhang, Yu, Xin and Yang, Yi (2021). Modeling the probabilistic distribution of unlabeled data for one-shot medical image segmentation. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, Online, 2–9 February 2021. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i2.16212
2021
Conference Publication
Write-a-speaker: Text-based emotional and rhythmic talking-head generation
Li, Lincheng, Wang, Suzhen, Zhang, Zhimeng, Ding, Yu, Zheng, Yixing, Yu, Xin and Changjie Fan (2021). Write-a-speaker: Text-based emotional and rhythmic talking-head generation. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, Online, 2–9 February 2021. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i3.16286
2021
Conference Publication
PSTNET: point spatio-temporal convolution on point cloud sequences
Fan, Hehe, Yu, Xin, Ding, Yuhang, Yang, Yi and Kankanhalli, Mohan (2021). PSTNET: point spatio-temporal convolution on point cloud sequences. 9th International Conference on Learning Representations, Virtual, 3-7 May 2021. International Conference on Learning Representations, ICLR.
2021
Conference Publication
VTNET: visual transformer network for object goal navigation
Du, Heming, Yu, Xin and Zheng, Liang (2021). VTNET: visual transformer network for object goal navigation. 9th International Conference on Learning Representations, Virtual, 3-7 May 2021. Appleton WI USA: International Conference on Learning Representations.
2021
Journal Article
Learning with noisy labels via self-reweighting from class centroids
Ma, Fan, Wu, Yu, Yu, Xin and Yang, Yi (2021). Learning with noisy labels via self-reweighting from class centroids. IEEE Transactions On Neural Networks and Learning Systems, 33 (11), 6275-6285. doi: 10.1109/TNNLS.2021.3073248
2021
Journal Article
Progressive transfer learning for face anti-spoofing
Quan, Ruijie, Wu, Yu, Yu, Xin and Yang, Yi (2021). Progressive transfer learning for face anti-spoofing. IEEE Transactions on Image Processing, 30, 3946-3955. doi: 10.1109/TIP.2021.3066912
2021
Conference Publication
Leaping from 2D Detection to Efficient 6DoF Object Pose Estimation
Liu, Jinhui, Zou, Zhikang, Ye, Xiaoqing, Tan, Xiao, Ding, Errui, Xu, Feng and Yu, Xin (2021). Leaping from 2D Detection to Efficient 6DoF Object Pose Estimation. European Conference on Computer Vision ECCV 2020, Glasgow, United Kingdom, 23–28 August 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-66096-3_47
2021
Conference Publication
RGB-D saliency detection via cascaded mutual information minimization
Zhang, Jing, Fan, Deng-Ping, Dai, Yuchao, Yu, Xin, Zhong, Yiran, Barnes, Nick and Shao, Ling (2021). RGB-D saliency detection via cascaded mutual information minimization. 18th IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, 11-17 October 2021. New York, NY, United States: IEEE. doi: 10.1109/ICCV48922.2021.00430
2021
Conference Publication
A general approach to state refinement
Kennedy, Gerard, Gao, Jin, Zhuang, Zheyu, Yu, Xin and Mahony, Robert (2021). A general approach to state refinement. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Virtual, 27 September - 1 October 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/IROS51168.2021.9636400
2021
Conference Publication
Self-supervised visibility learning for novel view synthesis
Shi, Yujiao, Li, Hongdong and Yu, Xin (2021). Self-supervised visibility learning for novel view synthesis. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, 19-25 June 2021. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/CVPR46437.2021.00955
2021
Conference Publication
Joint 3D human shape recovery and pose estimation from a single image with bilayer graph
Yu, Xin, van Baar, Jeroen and Chen, Siheng (2021). Joint 3D human shape recovery and pose estimation from a single image with bilayer graph. 9th International Conference on 3D Vision (3DV), London, United Kingdom, 1-3 December 2021. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/3DV53792.2021.00060
2021
Conference Publication
Super-resolving cross-domain face miniatures by peeking at one-shot exemplar
Li, Peike, Yu, Xin and Yang, Yi (2021). Super-resolving cross-domain face miniatures by peeking at one-shot exemplar. 18th IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, 11-17 October 2021. New York, NY, United States: IEEE. doi: 10.1109/ICCV48922.2021.00443
2021
Conference Publication
Few-shot Weighted Style Matching for Glaucoma Detection
Liu, Jinhui and Yu, Xin (2021). Few-shot Weighted Style Matching for Glaucoma Detection. First CAAI International Conference, CICAI 2021, Hangzhou, China, 5–6 June 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-93046-2_25
Supervision
Availability
- Dr Xin Yu is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
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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
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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
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Doctor Philosophy
Two way Auslan Translation
Principal Advisor
Other advisors: Professor Helen Huang
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Doctor Philosophy
Two way Auslan Translation
Principal Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh
-
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
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Doctor Philosophy
Remote Sensing Analysis in computer vision
Associate Advisor
Other advisors: Professor Helen Huang
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Doctor Philosophy
Data driven approaches for smart farming
Associate Advisor
Other advisors: Professor Helen Huang
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Doctor Philosophy
Enhancing Robustness and Generalizability in Computational Models
Associate Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh
Media
Enquiries
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