avatar

Yaoyao Liu

Assistant Professor
University of Illinois
Urbana-Champaign
lyy (at) illinois.edu


Publications [Google Scholar][DBLP]

  1. NeurIPS
    ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
    Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan Yuille
    NeurIPS 2024 Datasets and Benchmarks Track.
    PDF Project Page Dataset BibTex

  2. NeurIPS
    HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
    Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille
    Neural Information Processing Systems (NeurIPS), 2024.
    PDF Code BibTex

  3. ECCV
    iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
    Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg
    European Conference on Computer Vision (ECCV), 2024.
    PDF Code BibTex

  4. ICLR
    Generating Images with 3D Annotations Using Diffusion Models
    Wufei Ma*, Qihao Liu*, Jiahao Wang*, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille
    ( Corresponding author)
    International Conference on Learning Representations (ICLR), 2024.
    PDF Code Project Page BibTex Spotlight

  5. WACV
    Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
    Yaoyao Liu, Yingying Li, Bernt Schiele, and Qianru Sun
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    PDF Code BibTex

  6. MICCAI
    Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
    Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan Yuille, Yaoyao Liu, Zongwei Zhou
    ( Corresponding authors)
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
    PDF Code BibTex Early Accept

  7. CVPR
    Continual Detection Transformer for Incremental Object Detection
    Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    PDF Code Project Page BibTex

  8. CVPR
    Class-Incremental Exemplar Compression for Class-Incremental Learning
    Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    PDF Code Project Page BibTex

  9. AAAI
    Online Hyperparameter Optimization for Class-Incremental Learning
    Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
    AAAI Conference on Artificial Intelligence (AAAI), 2023.
    PDF Code Project Page BibTex Oral Presentation

  10. TPAMI
    Meta-Transfer Learning through Hard Tasks
    Qianru Sun*, Yaoyao Liu*, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
    (* Equal contribution)
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 44, Number 3, 2022.
    PDF Code Project Page BibTex

  11. NeurIPS
    RMM: Reinforced Memory Management for Class-Incremental Learning
    Yaoyao Liu, Bernt Schiele, Qianru Sun
    Neural Information Processing Systems (NeurIPS), 2021.
    PDF Code Project Page BibTex

  12. CVPR
    Adaptive Aggregation Networks for Class-Incremental Learning
    Yaoyao Liu, Bernt Schiele, Qianru Sun
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    PDF Code Project Page BibTex GitHub Stars

  13. CVIU
    Learning to Teach and Learn for Semi-supervised Few-shot Image Classification
    Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun
    Computer Vision and Image Understanding (CVIU), Volume 212, 2021.
    PDF Code BibTex

  14. TNNLS
    Generating Face Images with Attributes for Free
    Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Volume 32, Number 6, 2021.
    PDF BibTex

  15. ECCV
    An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
    Yaoyao Liu, Bernt Schiele, Qianru Sun
    European Conference on Computer Vision (ECCV), 2020.
    PDF Code Project Page BibTex

  16. CVPR
    Mnemonics Training: Multi-Class Incremental Learning without Forgetting
    Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
    PDF Code Project Page BibTex Oral Presentation

  17. NeurIPS
    Learning to Self-Train for Semi-Supervised Few-Shot Classification
    Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele
    Neural Information Processing Systems (NeurIPS), 2019.
    PDF Code Project Page BibTex

  18. CVPR
    Meta-Transfer Learning for Few-Shot Learning
    Qianru Sun*, Yaoyao Liu*, Tat-Seng Chua, Bernt Schiele
    (* Equal contribution)
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    PDF Code Project Page BibTex
    800+ Citations • 600+ GitHub Stars
    Top 100 Most Cited CVPR Papers over the Last Five Years