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Yaoyao Liu
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Cited by
Year
Meta-Transfer Learning for Few-Shot Learning
Q Sun*, Y Liu*, TS Chua, B Schiele
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 403-412, 2019
12662019
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Y Liu, Y Su, AA Liu, B Schiele, Q Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12245 …, 2020
3332020
Learning to Self-Train for Semi-Supervised Few-Shot Classification
X Li, Q Sun, Y Liu, Q Zhou, S Zheng, TS Chua, B Schiele
Advances in Neural Information Processing Systems (NeurIPS) 32, 10276-10286, 2019
3072019
Adaptive Aggregation Networks for Class-Incremental Learning
Y Liu, B Schiele, Q Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2544-2553, 2021
1972021
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Y Liu, B Schiele, Q Sun
European Conference on Computer Vision (ECCV), 404-421, 2020
1422020
Meta-Transfer Learning through Hard Tasks
Q Sun*, Y Liu*, Z Chen, TS Chua, B Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1443-1456, 2022
852022
RMM: Reinforced Memory Management for Class-Incremental Learning
Y Liu, B Schiele, Q Sun
Advances in Neural Information Processing Systems (NeurIPS) 34, 3478-3490, 2021
762021
Continual Detection Transformer for Incremental Object Detection
Y Liu, B Schiele, A Vedaldi, C Rupprecht
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
252023
LCC: Learning to Customize and Combine Neural Networks for Few-shot Learning
Y Liu, Q Sun, AA Liu, Y Su, B Schiele, TS Chua
https://arxiv.org/abs/1904.08479, 2019
24*2019
Online Hyperparameter Optimization for Class-Incremental Learning
Y Liu, Y Li, B Schiele, Q Sun
The AAAI Conference on Artificial Intelligence (AAAI), 2023
212023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Z Luo, Y Liu, B Schiele, Q Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
172023
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
Y Zhang, X Li, H Chen, A Yuille, Y Liu*, Z Zhou*
International Conference on Medical Image Computing and Computer Assisted …, 2023
122023
Generating Face Images with Attributes for Free
Y Liu, Q Sun, X He, AA Liu, Y Su, TS Chua
IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2733-2743, 2020
8*2020
Learning to Teach and Learn for Semi-Supervised Few-Shot Image Classification
X Li, J Huang, Y Liu, Q Zhou, S Zheng, B Schiele, Q Sun
Computer Vision and Image Understanding 212, 103270, 2021
72021
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
Y Liu, Y Li, B Schiele, Q Sun
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
3*2024
Adding 3D Geometry Control to Diffusion Models
W Ma, Q Liu, J Wang, A Wang, Y Liu, A Kortylewski, A Yuille
arXiv preprint arXiv:2306.08103, 2023
22023
Continual Adversarial Defense
Q Wang, Y Liu, H Ling, Y Li, Q Liu, P Li, J Chen, A Yuille, N Yu
arXiv preprint arXiv:2312.09481, 2023
2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
R Duan, Y Liu, J Chen, A Kortylewski, A Yuille
arXiv preprint arXiv:2311.18266, 2023
2023
Learning from Imperfect Data: Incremental Learning and Few-shot Learning
Y Liu
Saarländische Universitäts-und Landesbibliothek, 2023
2023
MSR Video to Language Challenge
AA Liu, N Xu, Y Qiu, X Li, M Li, Y Liu, Y Wong, W Nie, Y Su, ...
2017
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