Liu, Yaoyao

13 publications

CVPR 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning Zichen Tian, Yaoyao Liu, Qianru Sun

ICLR 2024 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

NeurIPS 2024 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

NeurIPS 2024 ImageNet3D: Towards General-Purpose Object-Level 3D Understanding Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan Yuille

WACV 2024 Wakening past Concepts Without past Data: Class-Incremental Learning from Online Placebos Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

ECCV 2024 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

CVPR 2023 Class-Incremental Exemplar Compression for Class-Incremental Learning Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun

CVPR 2023 Continual Detection Transformer for Incremental Object Detection Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht

AAAI 2023 Online Hyperparameter Optimization for Class-Incremental Learning Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

CVPR 2021 Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu, Bernt Schiele, Qianru Sun

NeurIPS 2021 RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu, Bernt Schiele, Qianru Sun

ECCV 2020 An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning Yaoyao Liu, Bernt Schiele, Qianru Sun

NeurIPS 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li, Qianru Sun, Yaoyao Liu, Qin Zhou, Shibao Zheng, Tat-Seng Chua, Bernt Schiele