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
2021
Conference Publication
ARVo: learning all-range volumetric correspondence for video deblurring
Li, Dongxu, Xu, Chenchen, Zhang, Kaihao, Yu, Xin, Zhong, Yiran, Ren, Wenqi, Suominen, Hanna and Li, Hongdong (2021). ARVo: learning all-range volumetric correspondence for video deblurring. 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/CVPR46437.2021.00763
2021
Conference Publication
RFNet: region-aware fusion network for incomplete multi-modal brain tumor segmentation
Ding, Yuhang, Yu, Xin and Yang, Yi (2021). RFNet: region-aware fusion network for incomplete multi-modal brain tumor segmentation. 18th IEEE/CVF International Conference on Computer Vision (ICCV), Virtual, 11-17 October 2021. New York, NY, United States: IEEE. doi: 10.1109/ICCV48922.2021.00394
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
2020
Conference Publication
TSPNet: hierarchical feature learning via temporal semantic pyramid for sign language translation
Li, Dongxu, Xu, Chenchen, Yu, Xin, Zhang, Kaihao, Swift, Ben, Suominen, Hanna and Li, Hongdong (2020). TSPNet: hierarchical feature learning via temporal semantic pyramid for sign language translation. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada, 6-12 December 2020. Maryland Heights, MO USA: Morgan Kaufmann Publishers.
2020
Journal Article
Single Image Portrait Relighting via Explicit Multiple Reflectance Channel Modeling
Wang, Zhibo, Yu, Xin, Lu, Ming, Wang, Quan, Qian, Chen and Xu, Feng (2020). Single Image Portrait Relighting via Explicit Multiple Reflectance Channel Modeling. ACM Transactions On Graphics, 39 (6) 220, 1-13. doi: 10.1145/3414685.3417824
2020
Journal Article
Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
Yu, Xin, Fernando, Basura, Hartley, Richard and Porikli, Fatih (2020). Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes. IEEE Transactions On Pattern Analysis and Machine Intelligence, 42 (11), 2926-2943. doi: 10.1109/TPAMI.2019.2916881
2020
Journal Article
Mapping the Brain-Wide Network Effects by Optogenetic Activation of the Corpus Callosum
Chen, Yi, Sobczak, Filip, Pais-Roldán, Patricia, Schwarz, Cornelius, Koretsky, Alan P. and Yu, Xin (2020). Mapping the Brain-Wide Network Effects by Optogenetic Activation of the Corpus Callosum. Cerebral Cortex, 30 (11), 5885-5898. doi: 10.1093/cercor/bhaa164
2020
Conference Publication
When humans meet machines: towards efficient segmentation networks
Li, Peike, Dong, Xuanyi, Yu, Xin and Yang, Yi (2020). When humans meet machines: towards efficient segmentation networks. 31st British Machine Vision Conference, Virtual, 7-10 September 2020. Bath, United Kingdom: British Machine Vision Association.
2020
Conference Publication
6DoF object pose estimation via differentiable proxy voting regularizer
Yu, Xin, Zhuang, Zheyu, Koniusz, Piotr and Li, Hongdong (2020). 6DoF object pose estimation via differentiable proxy voting regularizer. 31st British Machine Vision Conference, Virtual, 7-10 September 2020. Bath, United Kingdom: British Machine Vision Association, BMVA.
2020
Journal Article
Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces
Yu, Xin, Shiri, Fatemeh, Ghanem, Bernard and Porikli, Fatih (2020). Can We See More? Joint Frontalization and Hallucination of Unaligned Tiny Faces. Ieee Transactions On Pattern Analysis and Machine Intelligence, 42 (9) 8704962, 2148-2164. doi: 10.1109/TPAMI.2019.2914039
2020
Conference Publication
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Li, Dongxu, Yu, Xin, Xu, Chenchen, Petersson, Lars and Li, Hongdong (2020). Transferring Cross-domain Knowledge for Video Sign Language Recognition. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Online, 14-19 June 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/CVPR42600.2020.00624
2020
Conference Publication
Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
Zhang, Yang, Tsang, Ivor W., Luo, Yawei, Hu, Chang-Hui, Lu, Xiaobo and Yu, Xin (2020). Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA United States, 13-19 June 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cvpr42600.2020.00738
2020
Conference Publication
Weakly-Supervised Salient Object Detection via Scribble Annotations
Zhang, Jing, Yu, Xin, Li, Aixuan, Song, Peipei, Liu, Bowen and Dai, Yuchao (2020). Weakly-Supervised Salient Object Detection via Scribble Annotations. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA United States, 13-19 June 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cvpr42600.2020.01256
2020
Conference Publication
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Li, Dongxu, Opazo, Cristian Rodriguez, Yu, Xin and Li, Hongdong (2020). Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Snowmass, CO United States, 1-5 March 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV45572.2020.9093512
2020
Conference Publication
Learning Object Relation Graph and Tentative Policy for Visual Navigation
Du, Heming, Yu, Xin and Zheng, Liang (2020). Learning Object Relation Graph and Tentative Policy for Visual Navigation. European Conference on Computer Vision ECCV 2020, Glasgow, United Kingdom, 23–28 August 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-58571-6_2
Supervision
Availability
- Dr Xin Yu is:
- Available for supervision
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Supervision history
Current supervision
-
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
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
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
-
Doctor Philosophy
Data driven approaches for smart farming
Associate Advisor
Other advisors: Professor Helen Huang
Media
Enquiries
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