Yuyuan Liu

>> USER INFO

  • loc: oxford, united kingdom
  • role: postdoctoral researcher
  • affil: depart. of engineering sci., university of oxford
  • proj: human-ai collaboration
  • focus: lvlms · reasoning · percept.
  • email: yuyuan dot liu@eng.ox.ac.uk

>> HISTORY

2014
bsc start
2019
hons
University of Adelaide Alumni Scholarship (International)
Finalist of Minister’s Research and Innovation Award (AI for Health)
2021.1
phd start
Computer & Mathematical Sciences Divisional PhD Scholarship
2024.6
phd finish
2024.11
postdoc
Receiver of Dean’s Commendation for Doctoral Thesis Excellence
Funded by the Turing AI World-Leading Researcher (WLR) Fellowship
Now!
"Open to Work"

I am a Postdoctoral Researcher at the Department of Engineering Science, University of Oxford. Previously, I received my PhD from the Australian Institute for Machine Learning at the Adelaide University, where I was fortunate to be supervised by Prof. Gustavo Carneiro, Prof. Vasileios Belagiannis, and Prof. Ian Reid. My research focuses on visual understanding and multimodal intelligence across natural images, point clouds, and medical imaging, with an emphasis on real-world challenges such as limited data, noisy labels, and OoD inputs. Recently, I have been working on LVLMs, focusing on reasoning and multimodal perception for complex visual tasks through post-training. I build MLLMs better at truly seeing and reasoning about the visual world.

>> News

Mar, 2026 2 papers are accepted to CVPR 2026 (Main Conference), and 1 paper is accepted to CVPR 2026 Findings Track.
Sep, 2025 1 paper is accepted to IEEE TPAMI.
Aug, 2025 1 paper is accepted to EMNLP 2025 (Main Conference).
Jun, 2025 1 paper is accepted to ACL 2025 (Main Conference).

>> Selected Publications

[*] Multimodal learning and reasoning with foundation models.

CVPR'26---------- CVPRF'26-------- Arxiv'26----------- CVPR'24--------------------------
  1. cvpr25_grouprevision_page_1.png
    CVPR’26
    From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding
    Yuyuan Liu , Yiping Ji, Anjie Le, Jiayuan Zhu, Jiazhen Pan, Can Peng, Jiajun Deng, Fengbei Liu, and Junde Wu
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
  2. cvprf25_auralsam2_page_1.png
    CVPRF’26
    AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting
    Yuyuan Liu , Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings Track, 2026
    (# denotes corresponding author)
  3. arxiv26_ct_appearance_page_1.png
    Arxiv’26
    Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning
    Yuyuan Liu* , Can Peng*, Yingyu Yang, Qianye Yang, Cheng Ouyang, and J. Alison Noble
    Submit to IEEE Transactions on Medical Imaging, April 2026
    (* denotes equal contribution)
  4. cvpr24_unraveling_page_1.png
    CVPR’24
    Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
    Yuanhong Chen*,  Yuyuan Liu* , Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
    (* denotes equal contribution)

/* In progress, as always. */

[*] Robust learning under distribution shift and imperfect labels.

TMI'25------------ ECCV'24----------- ICCV'23---------- ECCV'22---------- CVPR'22-------------------------
  1. TMI25_tracoco_page_1.png
    TMI’25
    Translation consistent semi-supervised segmentation for 3D medical images
    Yuyuan Liu , Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro
    IEEE Transactions on Medical Imaging, 2025
    (* represents the equal contribution)
  2. eccv24_it2_page_1.png
    ECCV’24
    ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
    Yuyuan Liu , Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, and Gustavo Carneiro
    In European Conference on Computer Vision, 2024
    (* represents the equal contribution)
  3. iccv23_rpl_page_1.jpg
    ICCV’23
    Residual pattern learning for pixel-wise out-of-distribution detection in semantic segmentation
    Yuyuan Liu , Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
    (* represents the equal contribution)
  4. eccv22_pebal_page_1.jpg
    ECCV’22
    Pixel-wise energy-biased abstention learning for anomaly segmentation on complex urban driving scenes
    Yu Tian*,  Yuyuan Liu* , Guansong Pang, Fengbei Liu, Yuanhong Chen, and Gustavo Carneiro
    In European Conference on Computer Vision (oral), 2022
    (* represents the equal contribution)
  5. cvpr22_psmt_page_1.png
    CVPR’22
    Perturbed and strict mean teachers for semi-supervised semantic segmentation
    Yuyuan Liu , Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022