Yaoyao Liu's Homepage

Research Interests

[Aug. 2020] Our paper about few-shot learning is accepted to IEEE TPAMI.
[July 2020] Our paper about few-shot learning is accepted to ECCV 2020.
[Feb. 2020] Our paper about incremental learning is accepted to CVPR 2020.
[Feb. 2020] We will host the ACM Multimedia Asia 2020 conference in Singapore!
[Sept. 2019] Our paper about few-shot learning is accepted to NeurIPS 2019.
[Mar. 2019] Our paper about few-shot learning is accepted to CVPR 2019.

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), 2020.
[PDF] [BibTex]
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] [BibTex]
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] [BibTex] Oral Presentation
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
Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.
[PDF] [Code] [Poster] [BibTex]
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] [BibTex] Stars on GitHub