Yaoyao Liu

According to our database, Yaoyao Liu authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding.

Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille

CoRR, 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 L. Yuille

CoRR, 2024

Learning a Category-level Object Pose Estimator without Pose Annotations.

Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang

CoRR, 2024

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos.

Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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 L. Yuille

Proceedings of the Twelfth International Conference on Learning Representations, 2024

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.

Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning from imperfect data: incremental learning and Few-shot Learning.

Yaoyao Liu

PhD thesis, 2023

Continual Adversarial Defense.

Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan L. Yuille, Ning Yu

CoRR, 2023

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning.

Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille

CoRR, 2023

Adding 3D Geometry Control to Diffusion Models.

Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan L. Yuille

CoRR, 2023

Continual Learning for Abdominal Multi-organ and Tumor Segmentation.

Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Class-Incremental Exemplar Compression for Class-Incremental Learning.

Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Continual Detection Transformer for Incremental Object Detection.

Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Online Hyperparameter Optimization for Class-Incremental Learning.

Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Meta-Transfer Learning Through Hard Tasks.

Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Generating Face Images With Attributes for Free.

Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Comput. Vis. Image Underst., 2021

RMM: Reinforced Memory Management for Class-Incremental Learning.

Yaoyao Liu, Bernt Schiele, Qianru Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Aggregation Networks for Class-Incremental Learning.

Yaoyao Liu, Bernt Schiele, Qianru Sun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Meta-Aggregating Networks for Class-Incremental Learning.

Yaoyao Liu, Bernt Schiele, Qianru Sun

CoRR, 2020

An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning.

Yaoyao Liu, Bernt Schiele, Qianru Sun

Proceedings of the Computer Vision - ECCV 2020, 2020

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting.

Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Self-Train for Semi-Supervised Few-Shot Classification.

Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele

CoRR, 2019

LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning.

Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Transfer Learning for Few-Shot Learning.

Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019