Yaoyao Liu - RankMe

44 papers A* 13A 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction. CoRR Yulun Wu, Ruyi Zha, Wei Cao, Yingying Li, Yuanhao Cai, Yaoyao Liu
2026	J	`jnl`	FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Geometry-Complete 4D Reconstruction. CoRR Wei Cao, Hao Zhang, Fengrui Tian, Yulun Wu, Yingying Li, Shenlong Wang, Ning Yu, Yaoyao Liu
2026	A*	`conf`	Learning from Imperfect Data: Incremental Learning and Few-shot Learning. AAAI Yaoyao Liu
2025	J	`jnl`	A rate-dependent coreset selector for continual learning on time-varying data distributions. Neurocomputing Zilin Luo, Zichen Tian, Yaoyao Liu, Qianru Sun
2025	J	`jnl`	How to Teach Large Multimodal Models New Skills. CoRR Zhen Zhu, Yiming Gong, Yao Xiao, Yaoyao Liu, Derek Hoiem
2025	A*	`conf`	Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning. CVPR Zichen Tian, Yaoyao Liu, Qianru Sun
2024	A*	`conf`	Generating Images with 3D Annotations Using Diffusion Models. ICLR 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
2024	A*	`conf`	HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. NeurIPS Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan L. Yuille
2024	J	`jnl`	HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. CoRR Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan L. Yuille
2024	A*	`conf`	ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. NeurIPS Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille
2024	J	`jnl`	ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille
2024	J	`jnl`	Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang
2024	A	`conf`	Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. WACV Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
2024	—	`conf`	iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. ECCV (77) Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2024	J	`jnl`	iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2023	J	`jnl`	Adding 3D Geometry Control to Diffusion Models. CoRR Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan L. Yuille
2023	A*	`conf`	Class-Incremental Exemplar Compression for Class-Incremental Learning. CVPR Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
2023	J	`jnl`	Class-Incremental Exemplar Compression for Class-Incremental Learning. CoRR Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun
2023	J	`jnl`	Continual Adversarial Defense. CoRR Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan L. Yuille, Ning Yu
2023	A*	`conf`	Continual Detection Transformer for Incremental Object Detection. CVPR Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
2023	J	`jnl`	Continual Detection Transformer for Incremental Object Detection. CoRR Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht
2023	J	`jnl`	Continual Learning for Abdominal Multi-Organ and Tumor Segmentation. CoRR Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
2023	—	`conf`	Continual Learning for Abdominal Multi-organ and Tumor Segmentation. MICCAI (2) Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan L. Yuille, Yaoyao Liu, Zongwei Zhou
2023	—	`—`	Learning from imperfect data: incremental learning and Few-shot Learning. Yaoyao Liu
2023	A*	`conf`	Online Hyperparameter Optimization for Class-Incremental Learning. AAAI Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
2023	J	`jnl`	Online Hyperparameter Optimization for Class-Incremental Learning. CoRR Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
2023	J	`jnl`	Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	RMM: Reinforced Memory Management for Class-Incremental Learning. CoRR Yaoyao Liu, Bernt Schiele, Qianru Sun
2023	J	`jnl`	Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. CoRR Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
2022	J	`jnl`	Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
2021	A*	`conf`	Adaptive Aggregation Networks for Class-Incremental Learning. CVPR Yaoyao Liu, Bernt Schiele, Qianru Sun
2021	J	`jnl`	Generating Face Images With Attributes for Free. IEEE Trans. Neural Networks Learn. Syst. Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua
2021	J	`jnl`	Learning to teach and learn for semi-supervised few-shot image classification. Comput. Vis. Image Underst. Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun
2021	A*	`conf`	RMM: Reinforced Memory Management for Class-Incremental Learning. NeurIPS Yaoyao Liu, Bernt Schiele, Qianru Sun
2020	—	`conf`	An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. ECCV (16) Yaoyao Liu, Bernt Schiele, Qianru Sun
2020	J	`jnl`	Meta-Aggregating Networks for Class-Incremental Learning. CoRR Yaoyao Liu, Bernt Schiele, Qianru Sun
2020	A*	`conf`	Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. CVPR Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
2020	J	`jnl`	Mnemonics Training: Multi-Class Incremental Learning without Forgetting. CoRR Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun
2019	J	`jnl`	LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. CoRR Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, Tat-Seng Chua
2019	A*	`conf`	Learning to Self-Train for Semi-Supervised Few-Shot Classification. NeurIPS Xinzhe Li, Qianru Sun, Yaoyao Liu, Qin Zhou, Shibao Zheng, Tat-Seng Chua, Bernt Schiele
2019	J	`jnl`	Learning to Self-Train for Semi-Supervised Few-Shot Classification. CoRR Qianru Sun, Xinzhe Li, Yaoyao Liu, Shibao Zheng, Tat-Seng Chua, Bernt Schiele
2019	A*	`conf`	Meta-Transfer Learning for Few-Shot Learning. CVPR Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele
2019	J	`jnl`	Meta-Transfer Learning through Hard Tasks. CoRR Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
2018	J	`jnl`	Meta-Transfer Learning for Few-Shot Learning. CoRR Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele