Yaoyao Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Transfer Learning

Incremental Learning

Diffusion Models

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR (2024)
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
Generating Images with 3D Annotations Using Diffusion Models. ICLR (2024)
Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR (2024)
Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. WACV (2024)
Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang
Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR (2024)
Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan L. Yuille
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. CoRR (2024)
Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
Class-Incremental Exemplar Compression for Class-Incremental Learning. CoRR (2023)
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
Continual Detection Transformer for Incremental Object Detection. CVPR (2023)
Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
Class-Incremental Exemplar Compression for Class-Incremental Learning. CVPR (2023)
Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) (2023)
Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. CoRR (2023)
Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
Online Hyperparameter Optimization for Class-Incremental Learning. CoRR (2023)
Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
Continual Detection Transformer for Incremental Object Detection. CoRR (2023)
Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR (2023)
Yaoyao Liu, Bernt Schiele, Qianru Sun
RMM: Reinforced Memory Management for Class-Incremental Learning. CoRR (2023)
Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan L. Yuille, Ning Yu
Continual Adversarial Defense. CoRR (2023)
Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
Online Hyperparameter Optimization for Class-Incremental Learning. AAAI (2023)
Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Yaoyao Liu, Bernt Schiele, Qianru Sun
Adaptive Aggregation Networks for Class-Incremental Learning. CVPR (2021)
Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun
Learning to teach and learn for semi-supervised few-shot image classification. Comput. Vis. Image Underst. 212 (2021)
Yaoyao Liu, Bernt Schiele, Qianru Sun
RMM: Reinforced Memory Management for Class-Incremental Learning. NeurIPS (2021)
Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua
Generating Face Images With Attributes for Free. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Yaoyao Liu, Bernt Schiele, Qianru Sun
An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. ECCV (16) (2020)
Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. CVPR (2020)
Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun
Mnemonics Training: Multi-Class Incremental Learning without Forgetting. CoRR (2020)
Yaoyao Liu, Bernt Schiele, Qianru Sun
Meta-Aggregating Networks for Class-Incremental Learning. CoRR (2020)
Xinzhe Li, Qianru Sun, Yaoyao Liu, Qin Zhou, Shibao Zheng, Tat-Seng Chua, Bernt Schiele
Learning to Self-Train for Semi-Supervised Few-Shot Classification. NeurIPS (2019)
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele
Meta-Transfer Learning for Few-Shot Learning. CVPR (2019)
Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele
Learning to Self-Train for Semi-Supervised Few-Shot Classification. CoRR (2019)
Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
Meta-Transfer Learning through Hard Tasks. CoRR (2019)
Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. CoRR (2019)
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele
Meta-Transfer Learning for Few-Shot Learning. CoRR (2018)