Meta-Transfer Learning for Few-Shot Learning. - Qianru Sun; Yaoyao Liu 001; Tat-Seng Chua; Bernt Schiele (CVPR, 2019)

Learning to Self-Train for Semi-Supervised Few-Shot Classification. - Xinzhe Li; Qianru Sun; Yaoyao Liu 001; Qin Zhou; Shibao Zheng; Tat-Seng Chua; Bernt Schiele (NeurIPS, 2019)

LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. - Yaoyao Liu 001; Qianru Sun; An-An Liu; Yuting Su 001; Bernt Schiele; Tat-Seng Chua (CoRR, 2019)

Learning to Self-Train for Semi-Supervised Few-Shot Classification. - Qianru Sun; Xinzhe Li; Yaoyao Liu 001; Shibao Zheng; Tat-Seng Chua; Bernt Schiele (CoRR, 2019)

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. - Yaoyao Liu 001; Yuting Su 001; An-An Liu; Bernt Schiele; Qianru Sun (CVPR, 2020)

An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (ECCV (16), 2020)

Meta-Aggregating Networks for Class-Incremental Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (CoRR, 2020)

Adaptive Aggregation Networks for Class-Incremental Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (CVPR, 2021)

RMM: Reinforced Memory Management for Class-Incremental Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (NeurIPS, 2021)

Learning to teach and learn for semi-supervised few-shot image classification. - Xinzhe Li; Jianqiang Huang; Yaoyao Liu 001; Qin Zhou; Shibao Zheng; Bernt Schiele; Qianru Sun (Comput. Vis. Image Underst., 2021)

Generating Face Images With Attributes for Free. - Yaoyao Liu 001; Qianru Sun; Xiangnan He 001; An-An Liu; Yuting Su 001; Tat-Seng Chua (IEEE Trans. Neural Networks Learn. Syst., 2021)

Meta-Transfer Learning Through Hard Tasks. - Qianru Sun; Yaoyao Liu 001; Zhaozheng Chen; Tat-Seng Chua; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Online Hyperparameter Optimization for Class-Incremental Learning. - Yaoyao Liu 001; Yingying Li; Bernt Schiele; Qianru Sun (AAAI, 2023)

Continual Detection Transformer for Incremental Object Detection. - Yaoyao Liu 001; Bernt Schiele; Andrea Vedaldi; Christian Rupprecht 001 (CVPR, 2023)

Class-Incremental Exemplar Compression for Class-Incremental Learning. - Zilin Luo; Yaoyao Liu 001; Bernt Schiele; Qianru Sun (CVPR, 2023)

Continual Learning for Abdominal Multi-organ and Tumor Segmentation. - Yixiao Zhang 001; Xinyi Li; Huimiao Chen; Alan L. Yuille; Yaoyao Liu 001; Zongwei Zhou (MICCAI (2), 2023)

Adding 3D Geometry Control to Diffusion Models. - Wufei Ma; Qihao Liu; Jiahao Wang 001; Angtian Wang; Yaoyao Liu 001; Adam Kortylewski; Alan L. Yuille (CoRR, 2023)

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. - Ruxiao Duan; Yaoyao Liu 001; Jieneng Chen; Adam Kortylewski; Alan L. Yuille (CoRR, 2023)

Continual Adversarial Defense. - Qian Wang 001; Yaoyao Liu 001; Hefei Ling; Yingwei Li 002; Qihao Liu; Ping Li 021; Jiazhong Chen; Alan L. Yuille; Ning Yu (CoRR, 2023)

Learning from imperfect data: incremental learning and Few-shot Learning. - Yaoyao Liu 001 (2023)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. - Tom Fischer; Yaoyao Liu 001; Artur Jesslen; Noor Ahmed; Prakhar Kaushik; Angtian Wang; Alan L. Yuille; Adam Kortylewski; Eddy Ilg (ECCV (77), 2024)

Generating Images with 3D Annotations Using Diffusion Models. - Wufei Ma; Qihao Liu; Jiahao Wang 001; Angtian Wang; Xiaoding Yuan; Yi Zhang 099; Zihao Xiao 001; Guofeng Zhang 020; Beijia Lu; Ruxiao Duan; Yongrui Qi; Adam Kortylewski; et al. (ICLR, 2024)

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. - Yuanhao Cai; Zihao Xiao 001; Yixun Liang; Minghan Qin; Yulun Zhang 001; Xiaokang Yang 001; Yaoyao Liu 001; Alan L. Yuille (NeurIPS, 2024)

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. - Wufei Ma; Guofeng Zhang 020; Qihao Liu; Guanning Zeng; Adam Kortylewski; Yaoyao Liu 001; Alan L. Yuille (NeurIPS, 2024)

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. - Yaoyao Liu 001; Yingying Li; Bernt Schiele; Qianru Sun (WACV, 2024)

Learning a Category-level Object Pose Estimator without Pose Annotations. - Fengrui Tian; Yaoyao Liu 001; Adam Kortylewski; Yueqi Duan; Shaoyi Du; Alan L. Yuille; Angtian Wang (CoRR, 2024)

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. - Wufei Ma; Guanning Zeng; Guofeng Zhang 025; Qihao Liu; Letian Zhang; Adam Kortylewski; Yaoyao Liu 001; Alan L. Yuille (CoRR, 2024)

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning. - Zichen Tian; Yaoyao Liu 001; Qianru Sun (CVPR, 2025)