Yaoyao Liu

1. Preprint

   Self-Improving Agents with World Model Predictive Paths

   Haori Lu, Tianyu Gao, Yaoyao Liu, Yingying Li

   arXiv preprint arXiv:2610.28945

   PDF BibTex
2. Preprint

   4Director: Controlling Video World Models with Rigid 3D Geometry

   Wei Cao, Hao Zhang, Vikram Voleti, Yuqun Wu, Mallikarjun B R, Shimon Vainer, Mark Boss, Yaoyao Liu

   arXiv preprint arXiv:2610.02160

   PDF Code Project Page BibTex
3. Preprint

   Redirect4D-Bench: A Scalable Benchmark for Camera Redirection of Monocular Dynamic Videos with Pseudo-4D Ground Truth

   Wei Cao, Hao Zhang, Jiapeng Tang, Yulun Wu, Yingying Li, Ning Yu, Yaoyao Liu

   PDF Code Project Page BibTex
4. Preprint

   Continual Concept Erasure in Diffusion Models by Suppressing Cross Edit Interference

   Yongliang Wu, Haori Lu, Jinqi Luo, Wei Cao, Xingyu Zhu, Yaoyao Liu

   arXiv preprint arXiv:2610.01989

   PDF Code Project Page BibTex
5. Preprint

   RASteer: Retain Aware Activation Steering for Concept Erasure in Diffusion Models

   Yongliang Wu, Haori Lu, Yulun Wu, Jinqi Luo, Xingyu Zhu, Yaoyao Liu

   arXiv preprint arXiv:2610.01969

   PDF Code Project Page BibTex
6. Preprint

   AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning

   Sarthak Jain, Qiran Hu, Zhen Zhu, Yaoyao Liu

   arXiv preprint arXiv:2607.15094

   PDF BibTex

2026

1. ECCV

   Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction

   Yulun Wu, Ruyi Zha, Wei Cao, Yingying Li, Yuanhao Cai, Yaoyao Liu

   European Conference on Computer Vision (ECCV), 2026.

   PDF Code Project Page BibTex
2. ECCV

   AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation

   Eric Ji, Qiran Hu, Wufei Ma, Sarthak Jain, Yingying Li, Minh N. Do, Yaoyao Liu

   European Conference on Computer Vision (ECCV), 2026.

   PDF Code Project Page BibTex
3. ECCV

   How to Teach Large Multimodal Models New Skills

   Zhen Zhu, Yiming Gong, Yao Xiao, Yaoyao Liu, Derek Hoiem

   European Conference on Computer Vision (ECCV), 2026.

   PDF Code BibTex Spotlight • Media Coverage by VentureBeat
4. SIGGRAPH

   FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction

   Wei Cao, Hao Zhang, Fengrui Tian, Yulun Wu, Yingying Li, Shenlong Wang, Ning Yu, Yaoyao Liu

   Special Interest Group on Computer Graphics and Interactive Techniques Conference (SIGGRAPH Conference Papers), 2026.

   PDF Code Project Page BibTex Best Paper Award at CVPR 2026 GCV Workshop
5. TPAMI

   Motion2VecSets: Non-Rigid Shape Reconstruction and Tracking with 4D Latent Set Diffusion

   Jiapeng Tang*, Wei Cao*, Biao Zhang*, Chang Luo*, Yaoyao Liu, Matthias Nießner

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.

   PDF BibTex

2025

1. CVPR

   Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning

   Zichen Tian, Yaoyao Liu, Qianru Sun

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

   PDF Code Project Page BibTex Highlight
2. BMVC

   Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning

   Ruxiao Duan, Jieneng Chen, Adam Kortylewski, Alan Yuille, Yaoyao Liu

   British Machine Vision Conference (BMVC), 2025.

   PDF Code Project Page BibTex

2024

1. NeurIPS

   ImageNet3D: Towards General-Purpose Object-Level 3D Understanding

   Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan Yuille

   Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS D&B Track), 2024.

   PDF Code Project Page Dataset BibTex
2. NeurIPS

   HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

   Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille

   Neural Information Processing Systems (NeurIPS), 2024.

   PDF Code BibTex
3. ECCV

   iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

   Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg

   European Conference on Computer Vision (ECCV), 2024.

   PDF Code BibTex
4. ICLR

   Generating Images with 3D Annotations Using Diffusion Models

   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 Yuille
   ( Corresponding author)

   International Conference on Learning Representations (ICLR), 2024.

   PDF Code Project Page BibTex Spotlight
5. WACV

   Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos

   Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

   IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.

   PDF Code BibTex

2023

1. MICCAI

   Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

   Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan Yuille, Yaoyao Liu, Zongwei Zhou
   ( Corresponding authors)

   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

   PDF Code BibTex Early Accept
2. CVPR

   Continual Detection Transformer for Incremental Object Detection

   Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

   PDF Code Project Page BibTex
3. CVPR

   Class-Incremental Exemplar Compression for Class-Incremental Learning

   Zilin Luo, Yaoyao Liu, Bernt Schiele, Qianru Sun

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

   PDF Code Project Page BibTex
4. AAAI

   Online Hyperparameter Optimization for Class-Incremental Learning

   Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun

   AAAI Conference on Artificial Intelligence (AAAI), 2023.

   PDF Code Project Page BibTex Oral Presentation

2022 and Before

1. TPAMI

   Meta-Transfer Learning through Hard Tasks

   Qianru Sun*, Yaoyao Liu*, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele
   (* Equal contribution)

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 44, Number 3, 2022.

   PDF Code Project Page BibTex
2. NeurIPS

   RMM: Reinforced Memory Management for Class-Incremental Learning

   Yaoyao Liu, Bernt Schiele, Qianru Sun

   Neural Information Processing Systems (NeurIPS), 2021.

   PDF Code Project Page BibTex
3. CVPR

   Adaptive Aggregation Networks for Class-Incremental Learning

   Yaoyao Liu, Bernt Schiele, Qianru Sun

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

   PDF Code Project Page BibTex GitHub Stars
4. CVIU

   Learning to Teach and Learn for Semi-supervised Few-shot Image Classification

   Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun

   Computer Vision and Image Understanding (CVIU), Volume 212, 2021.

   PDF Code BibTex
5. TNNLS

   Generating Face Images with Attributes for Free

   Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua

   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Volume 32, Number 6, 2021.

   PDF BibTex
6. ECCV

   An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning

   Yaoyao Liu, Bernt Schiele, Qianru Sun

   European Conference on Computer Vision (ECCV), 2020.

   PDF Code Project Page BibTex
7. CVPR

   Mnemonics Training: Multi-Class Incremental Learning without Forgetting

   Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

   PDF Code Project Page BibTex Oral Presentation • 400+ Citations
8. NeurIPS

   Learning to Self-Train for Semi-Supervised Few-Shot Classification

   Xinzhe Li, Qianru Sun, Yaoyao Liu, Shibao Zheng, Qin Zhou, Tat-Seng Chua, Bernt Schiele

   Neural Information Processing Systems (NeurIPS), 2019.

   PDF Code Project Page BibTex
9. CVPR

   Meta-Transfer Learning for Few-Shot Learning

   Qianru Sun*, Yaoyao Liu*, Tat-Seng Chua, Bernt Schiele
   (* Equal contribution)

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

   PDF Code Project Page BibTex 1500+ Citations • 600+ GitHub Stars
   Top 100 Most Cited CVPR Papers over the Last Five Years