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Yaoyao Liu 0001
Person information
- affiliation: University of Illinois Urbana-Champaign, IL, USA
- affiliation (former): Johns Hopkins University, Baltimore, MD, USA
- affiliation (former): Max Planck Institute for Informatics, Saarbrücken, Germany
- affiliation (PhD 2023): Saarland University, Saarbrücken, Germany
Other persons with the same name
- Yaoyao Liu 0002
— North China Electric Power University, Beijing, China
- Yaoyao Liu 0003 — Harbin Medical University, China
- Yaoyao Liu 0004 — College of Computer Science, Xi'an Shiyou University, Xi'an, China
- Yaoyao Liu 0005 — Peking University, Beijing, China
- Yaoyao Liu 0006 — Huazhong Normal University, Department of Information Technology, Wuhan, China
- Yaoyao Liu 0007 — Beifang University of Nationalities, School of Computer Science and Engineering, Ningxia, China
- Yaoyao Liu 0008 — North Minzu University, College of Computer Science and Engineering, Yinchuan City, China
- Yaoyao Liu 0009 — Chongqing University, College of Computer Science, China
- Yaoyao Liu 0010 — Nanjing Normal University, School of Geography, China
- Yaoyao Liu 0011
- Yaoyao Liu 0012 — Beihang University, Key Laboratory of Fluid Mechanics, Beijing, China
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2020 – today
- 2024
- [c13]Tom Fischer, Yaoyao Liu
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. ECCV (77) 2024: 357-374 - [c12]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 - [c11]Yaoyao Liu
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. WACV 2024: 2215-2224 - [i19]Fengrui Tian
Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR abs/2404.05626 (2024) - [i18]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 abs/2405.15125 (2024) - [i17]Wufei Ma
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR abs/2406.09613 (2024) - [i16]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 abs/2407.09271 (2024) - 2023
- [b1]Yaoyao Liu:
Learning from imperfect data: incremental learning and Few-shot Learning. Saarland University, Saarbrücken, Germany, 2023 - [c10]Yaoyao Liu
Online Hyperparameter Optimization for Class-Incremental Learning. AAAI 2023: 8906-8913 - [c9]Zilin Luo, Yaoyao Liu
Class-Incremental Exemplar Compression for Class-Incremental Learning. CVPR 2023: 11371-11380 - [c8]Yaoyao Liu
Continual Detection Transformer for Incremental Object Detection. CVPR 2023: 23799-23808 - [c7]Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu
Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) 2023: 35-45 - [i15]Yaoyao Liu, Yingying Li, Bernt Schiele
Online Hyperparameter Optimization for Class-Incremental Learning. CoRR abs/2301.05032 (2023) - [i14]Yaoyao Liu
RMM: Reinforced Memory Management for Class-Incremental Learning. CoRR abs/2301.05792 (2023) - [i13]Zilin Luo, Yaoyao Liu
Class-Incremental Exemplar Compression for Class-Incremental Learning. CoRR abs/2303.14042 (2023) - [i12]Yaoyao Liu
Continual Detection Transformer for Incremental Object Detection. CoRR abs/2304.03110 (2023) - [i11]Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou:
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation. CoRR abs/2306.00988 (2023) - [i10]Wufei Ma
Adding 3D Geometry Control to Diffusion Models. CoRR abs/2306.08103 (2023) - [i9]Yaoyao Liu
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. CoRR abs/2310.16115 (2023) - [i8]Ruxiao Duan, Yaoyao Liu
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR abs/2311.18266 (2023) - [i7]Qian Wang, Yaoyao Liu
Continual Adversarial Defense. CoRR abs/2312.09481 (2023) - 2022
- [j3]Qianru Sun
Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1443-1456 (2022) - 2021
- [j2]Xinzhe Li
Learning to teach and learn for semi-supervised few-shot image classification. Comput. Vis. Image Underst. 212: 103270 (2021) - [j1]Yaoyao Liu
Generating Face Images With Attributes for Free. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2733-2743 (2021) - [c6]Yaoyao Liu
Adaptive Aggregation Networks for Class-Incremental Learning. CVPR 2021: 2544-2553 - [c5]Yaoyao Liu, Bernt Schiele
RMM: Reinforced Memory Management for Class-Incremental Learning. NeurIPS 2021: 3478-3490 - 2020
- [c4]Yaoyao Liu
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. CVPR 2020: 12242-12251 - [c3]Yaoyao Liu
An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. ECCV (16) 2020: 404-421 - [i6]Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun:
Mnemonics Training: Multi-Class Incremental Learning without Forgetting. CoRR abs/2002.10211 (2020) - [i5]Yaoyao Liu, Bernt Schiele, Qianru Sun:
Meta-Aggregating Networks for Class-Incremental Learning. CoRR abs/2010.05063 (2020)
2010 – 2019
- 2019
- [c2]Qianru Sun, Yaoyao Liu
Meta-Transfer Learning for Few-Shot Learning. CVPR 2019: 403-412 - [c1]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: 10276-10286 - [i4]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 abs/1904.08479 (2019) - [i3]Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele:
Learning to Self-Train for Semi-Supervised Few-Shot Classification. CoRR abs/1906.00562 (2019) - [i2]Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning through Hard Tasks. CoRR abs/1910.03648 (2019) - 2018
- [i1]Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. CoRR abs/1812.02391 (2018)
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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