Iconzheyuan.david.liu [at] outlook dot com
IconCurriculum Vitae
I am a research fellow at the Centre for Augmented Reasoning, Australian Institute for Machine Learning (AIML) at the University of Adelaide, working with Prof. Anton Van Den Hengel. My current research focuses on generative model and multi-modal learning.
I obtained my PhD from the Australian National University in 2024, advised by Prof. Stephen Gould and Dr. Damien Teney (Idiap Research Institute | AIML). My PhD surrounds multi-modal learning, in particular, vision-and-language, where I focused on a task termed composed image retrieval.
Prior to that, I obtained my bachelor degree in Electronics Engineering (R&D) with first-class honours from the Australian National University in 2018.
Research Summary
My research has focused on:
- multi-modal learning, in particular, vision-and-language tasks
- weakly-supervised learning
- generative model
I maintain my publication record at Google Scholar. Source code for all first-author projects are available at GitHub.
A record of news and recent publications are kept below.
News
Jul 2024 New Our work on zero and few-shot keypoint detection with diverse (visual or language) prompts has been accepted by ECCV 2024, congratulations to Changsheng!
May 2024 I have joined AIML as a postdoctoral research fellow.
Apr 2024 I have received my award of PhD from ANU. A big thank you to my supervisors, my parents and all my friends for their kind support through this journey.
Changsheng Lu, Zheyuan Liu, Piotr Koniusz. “OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection.” European Conference on Computer Vision (ECCV), 2024.
Zheyuan Liu. “Retrieving Images through Bi-modal Visual and Language Queries.” Thesis (PhD), Australian National University, 2024.
bib | ANU archive | pdf
@phdthesis{liu2024retrieving,
title={Retrieving Images through Bi-modal Visual and Language Queries},
author={Liu, Zheyuan},
school={The Australian National University},
year={2024}
}
Zheyuan Liu, Weixuan Sun, Damien Teney, and Stephen Gould. “Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder.” Transactions on Machine Learning Research (TMLR), 2024.
bib | pdf | arXiv | code
@article{liu2024candidate,
title={Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder},
author={Zheyuan Liu and Weixuan Sun and Damien Teney and Stephen Gould},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2024},
url={https://openreview.net/forum?id=fJAwemcvpL},
note={}
}
Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney, and Stephen Gould. “Bi-directional training for composed image retrieval via text prompt learning.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
bib | pdf | arXiv | code
@InProceedings{Liu_2024_WACV,
author={Liu, Zheyuan and Sun, Weixuan and Hong, Yicong and Teney, Damien and Gould, Stephen},
title={Bi-Directional Training for Composed Image Retrieval via Text Prompt Learning},
booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month={January},
year={2024},
pages={5753-5762}
}
Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, and Nick Barnes. “All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation.” IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. 2023.
bib | pdf | arXiv | code
@InProceedings{Sun_2023_ICCV,
author={Sun, Weixuan and Zhang, Yanhao and Qin, Zhen and Liu, Zheyuan and Cheng, Lin and Wang, Fanyi and Zhong, Yiran and Barnes, Nick},
title={All-pairs Consistency Learning forWeakly Supervised Semantic Segmentation},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month={October},
year={2023},
pages={826-837}
}
Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, and Nick Barnes. “Learning audio-visual source localization via false negative aware contrastive learning.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023.
bib | pdf | arXiv | code
@InProceedings{Sun_2023_CVPR,
author={Sun, Weixuan and Zhang, Jiayi and Wang, Jianyuan and Liu, Zheyuan and Zhong, Yiran and Feng, Tianpeng and Guo, Yandong and Zhang, Yanhao and Barnes, Nick},
title={Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month={June},
year={2023},
pages={6420-6429}
}
Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, and Stephen Gould. “Image retrieval on real-life images with pre-trained vision-and-language models.” IEEE/CVF International Conference on Computer Vision (ICCV). 2021.
bib | pdf | arXiv | dataset | code
@InProceedings{Liu_2021_ICCV,
author={Liu, Zheyuan and Rodriguez-Opazo, Cristian and Teney, Damien and Gould, Stephen},
title ={Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month={October},
year={2021},
pages={2125-2134}
}