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Yaoyao Liu
标题
引用次数
引用次数
年份
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
13412019
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
3602020
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
3232019
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
2282021
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
1512020
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
1002022
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
872021
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
382023
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
292023
Online Hyperparameter Optimization for Class-Incremental Learning
Y Liu, Y Li, B Schiele, Q Sun
The AAAI Conference on Artificial Intelligence (AAAI), 2023
272023
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
26*2019
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
202023
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
102021
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
9*2020
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
32024
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
32023
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Y Cai, Z Xiao, Y Liang, Y Zhang, X Yang, Y Liu, A Yuille
arXiv preprint arXiv:2405.15125, 2024
12024
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
12023
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
W Ma, G Zeng, G Zhang, Q Liu, L Zhang, A Kortylewski, Y Liu, A Yuille
arXiv preprint arXiv:2406.09613, 2024
2024
Learning a Category-level Object Pose Estimator without Pose Annotations
F Tian, Y Liu, A Kortylewski, Y Duan, S Du, A Yuille, A Wang
arXiv preprint arXiv:2404.05626, 2024
2024
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