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Dr Xin Yu
Dr

Xin Yu

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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. 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

187 works between 2010 and 2024

1 - 20 of 187 works

2024

Journal Article

Ethics-aware face recognition aided by synthetic face images

Du, Xiaobiao, Yu, Xin, Liu, Jinhui, Dai, Beifen and Xu, Feng (2024). Ethics-aware face recognition aided by synthetic face images. Neurocomputing, 600 128129, 128129. doi: 10.1016/j.neucom.2024.128129

Ethics-aware face recognition aided by synthetic face images

2024

Journal Article

Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies

Plagwitz, Lucas, Choi, Sangcheon, Yu, Xin, Segelcke, Daniel, Lambers, Henriette, Pogatzki-Zahn, Esther, Varghese, Julian, Faber, Cornelius and Pradier, Bruno (2024). Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies. Biomedical Signal Processing and Control, 93 106136, 1-15. doi: 10.1016/j.bspc.2024.106136

Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies

2024

Journal Article

High Spatiotemporal Resolution Radial Encoding Single-Vessel fMRI

Jiang, Yuanyuan, Pais-Roldán, Patricia, Pohmann, Rolf and Yu, Xin (2024). High Spatiotemporal Resolution Radial Encoding Single-Vessel fMRI. Advanced Science, 11 (26) e2309218, 1-10. doi: 10.1002/advs.202309218

High Spatiotemporal Resolution Radial Encoding Single-Vessel fMRI

2024

Journal Article

Proactive image manipulation detection via deep semi-fragile watermark

Zhao, Yuan, Liu, Bo, Zhu, Tianqing, Ding, Ming, Yu, Xin and Zhou, Wanlei (2024). Proactive image manipulation detection via deep semi-fragile watermark. Neurocomputing, 585 127593. doi: 10.1016/j.neucom.2024.127593

Proactive image manipulation detection via deep semi-fragile watermark

2024

Conference Publication

Enhancing hierarchical transformers for whole brain segmentation with intracranial measurements integration

Yu, Xin, Tang, Yucheng, Yang, Qi, Lee, Ho Hin, Bao, Shunxing, Huo, Yuankai and Landman, Bennett A. (2024). Enhancing hierarchical transformers for whole brain segmentation with intracranial measurements integration. SPIE. doi: 10.1117/12.3009084

Enhancing hierarchical transformers for whole brain segmentation with intracranial measurements integration

2024

Journal Article

Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization

Yu, Xin, Yang, Qi, Tang, Yucheng, Gao, Riqiang, Bao, Shunxing, Cai, Leon Y., Lee, Ho Hin, Huo, Yuankai, Moore, Ann Zenobia, Ferrucci, Luigi and Landman, Bennett A. (2024). Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization. Journal of Medical Imaging, 11 (02). doi: 10.1117/1.jmi.11.2.024008

Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization

2024

Journal Article

No replication of direct neuronal activity-related (DIANA) fMRI in anesthetized mice

Choi, Sang-Han, Im, Geun Ho, Choi, Sangcheon, Yu, Xin, Bandettini, Peter A., Menon, Ravi S and Kim, Seong-Gi (2024). No replication of direct neuronal activity-related (DIANA) fMRI in anesthetized mice. Science Advances, 10 (13) eadl0999, 1-11. doi: 10.1126/sciadv.adl0999

No replication of direct neuronal activity-related (DIANA) fMRI in anesthetized mice

2024

Journal Article

AI empowered Auslan learning for parents of deaf children and children of deaf adults

Sheng, Hongwei, Shen, Xin, Du, Heming, Zhang, Hu, Huang, Zi and Yu, Xin (2024). AI empowered Auslan learning for parents of deaf children and children of deaf adults. AI and Ethics, 1-11. doi: 10.1007/s43681-024-00457-y

AI empowered Auslan learning for parents of deaf children and children of deaf adults

2024

Journal Article

Alpha-180 spin-echo-based line-scanning method for high-resolution laminar-specific fMRI in animals

Choi, Sangcheon, Hike, David, Pohmann, Rolf, Avdievich, Nikolai, Gomez-Cid, Lidia, Man, Weitao, Scheffler, Klaus and Yu, Xin (2024). Alpha-180 spin-echo-based line-scanning method for high-resolution laminar-specific fMRI in animals. Imaging Neuroscience, 2, 1-14. doi: 10.1162/imag_a_00120

Alpha-180 spin-echo-based line-scanning method for high-resolution laminar-specific fMRI in animals

2024

Journal Article

Implementation of 2D Line-scanning Method

Hike, David, Choi, Sangcheon, Zhang, Bei, Jiang, Yuanyuan, Liu, Xiaochen, Pohmann, Rolf, Koehler, Sascha and Yu, Xin (2024). Implementation of 2D Line-scanning Method. Aperture Neuro, 4, 1-7. doi: 10.52294/001c.92792

Implementation of 2D Line-scanning Method

2024

Journal Article

Detecting facial action units from global-local fine-grained expressions

Zhang, Wei, Li, Lincheng, Ding, Yu, Chen, Wei, Deng, Zhigang and Yu, Xin (2024). Detecting facial action units from global-local fine-grained expressions. IEEE Transactions on Circuits and Systems for Video Technology, 34 (2), 983-994. doi: 10.1109/tcsvt.2023.3288903

Detecting facial action units from global-local fine-grained expressions

2024

Journal Article

The significance and limited influence of cerebrovascular reactivity on age and sex effects in task- and resting-state brain activity

Chen, Donna Y., Di, Xin, Yu, Xin and Biswal, Bharat B. (2024). The significance and limited influence of cerebrovascular reactivity on age and sex effects in task- and resting-state brain activity. Cerebral Cortex, 34 (2) bhad448, 1-9. doi: 10.1093/cercor/bhad448

The significance and limited influence of cerebrovascular reactivity on age and sex effects in task- and resting-state brain activity

2024

Journal Article

Novel inductively coupled ear-bars (ICEs) to enhance restored fMRI signal from susceptibility compensation in rats

Chen, Yi, Fernandez, Zachary, Scheel, Norman, Gifani, Mahsa, Zhu, David C., Counts, Scott E., Dorrance, Anne M., Razansky, Daniel, Yu, Xin, Qian, Wei and Qian, Chunqi (2024). Novel inductively coupled ear-bars (ICEs) to enhance restored fMRI signal from susceptibility compensation in rats. Cerebral Cortex, 34 (1) bhad479, 1-12. doi: 10.1093/cercor/bhad479

Novel inductively coupled ear-bars (ICEs) to enhance restored fMRI signal from susceptibility compensation in rats

2024

Conference Publication

When 3D bounding-box meets SAM: point cloud instance segmentation with weak-and-noisy supervision

Yu, Qingtao, Du, Heming, Liu, Chen and Yu, Xin (2024). When 3D bounding-box meets SAM: point cloud instance segmentation with weak-and-noisy supervision. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/wacv57701.2024.00368

When 3D bounding-box meets SAM: point cloud instance segmentation with weak-and-noisy supervision

2024

Conference Publication

Identifying modulation of brain states by optogenetic stimulation of lateral hypothalamus

Takahashi, Kengo, Chen, Yi, Pais-Roldán, Patricia and Yu, Xin (2024). Identifying modulation of brain states by optogenetic stimulation of lateral hypothalamus. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: ISMRM. doi: 10.58530/2022/1824

Identifying modulation of brain states by optogenetic stimulation of lateral hypothalamus

2024

Journal Article

MarkerNet: A divide-and-conquer solution to motion capture solving from raw markers

Hu, Zhipeng, Tang, Jilin, Li, Lincheng, Hou, Jie, Xin, Haoran, Yu, Xin and Bu, Jiajun (2024). MarkerNet: A divide-and-conquer solution to motion capture solving from raw markers. Computer Animation and Virtual Worlds, 35 (1) e2228. doi: 10.1002/cav.2228

MarkerNet: A divide-and-conquer solution to motion capture solving from raw markers

2024

Conference Publication

MMOOC: a multimodal misinformation dataset for out-of-context news analysis

Xu, Qingzheng, Du, Heming, Chen, Huiqiang, Liu, Bo and Yu, Xin (2024). MMOOC: a multimodal misinformation dataset for out-of-context news analysis. 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, 15–17 July 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-5101-3_24

MMOOC: a multimodal misinformation dataset for out-of-context news analysis

2024

Journal Article

CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields From Imperfect Camera Poses

Fu, Hongyu, Yu, Xin, Li, Lincheng and Zhang, Li (2024). CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields From Imperfect Camera Poses. IEEE Transactions on Multimedia, 26, 1-12. doi: 10.1109/tmm.2024.3388929

CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields From Imperfect Camera Poses

2024

Journal Article

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads

Wang, Suzhen, Ma, Yifeng, Ding, Yu, Hu, Zhipeng, Fan, Changjie, Lv, Tangjie, Deng, Zhidong and Yu, Xin (2024). StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP (6), 1-17. doi: 10.1109/tpami.2024.3357808

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads

2024

Journal Article

CMGNet: Collaborative multi-modal graph network for video captioning

Rao, Qi, Yu, Xin, Li, Guang and Zhu, Linchao (2024). CMGNet: Collaborative multi-modal graph network for video captioning. Computer Vision and Image Understanding, 238 103864, 1-10. doi: 10.1016/j.cviu.2023.103864

CMGNet: Collaborative multi-modal graph network for video captioning

Funding

Current funding

  • 2024
    Breaking the Communication Barrier for the Australian Deaf Community: Vision Based Australian Sign Language Translation and Production
    Google Inc
    Open grant
  • 2023 - 2024
    Developing applications of satellite imagery for modelling environmental and social impacts of climate change on seaweed farming in Indonesia (KONEKSI Grant administered by Griffith University)
    Griffith University
    Open grant
  • 2023 - 2028
    Breaking the Communication Barrier for the Australian Deaf Community: Vision Based Australian Sign Language Translation and Production
    Google Asia Pacific Pte Ltd
    Open grant
  • 2023 - 2026
    Advancing Human Perception: Countering Evolving Malicious Fake Visual Data
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2023 - 2027
    Analytics for the Australian Grains Industry (AAGI)
    Grains Research & Development Corporation
    Open grant
  • 2023 - 2025
    Two-way Auslan: Automatic Machine Translation of Australian Sign Language (ARC Discovery Project administered by ANU)
    The Australian National University
    Open grant

Supervision

Availability

Dr Xin Yu is:
Available for supervision

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Supervision history

Current supervision

Media

Enquiries

For media enquiries about Dr Xin Yu's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au