Ying-Jun Du

21 papers A* 4A 1B 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks.
CoRR
Wenfang Sun, Ying-Jun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
2023 B conf
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation.
ICMR
Shuo Chen, Ying-Jun Du, Pascal Mettes, Cees G. M. Snoek
2023 J jnl
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail.
CoRR
Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
2022 A* conf
Hierarchical Variational Memory for Few-shot Learning Across Domains.
ICLR
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
2022 J jnl
Variational Abnormal Behavior Detection With Motion Consistency.
IEEE Trans. Image Process.
Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao
2021 J jnl
Hierarchical Variational Memory for Few-shot Learning Across Domains.
CoRR
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
2021 J jnl
Learning to Adapt With Memory for Probabilistic Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Lei Zhang, Liyun Zuo, Ying-Jun Du, Xiantong Zhen
2021 — conf
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation.
ACL/IJCNLP (1)
Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova
2021 J jnl
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation.
CoRR
Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova
2021 J jnl
MetaKernel: Learning Variational Random Features with Limited Labels.
CoRR
Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
2021 A* conf
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains.
ICLR
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
2020 J jnl
Calibrated Multivariate Regression Networks.
IEEE Trans. Circuits Syst. Video Technol.
Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen
2020 J jnl
Conditional Variational Image Deraining.
CoRR
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
2020 J jnl
Conditional Variational Image Deraining.
IEEE Trans. Image Process.
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
2020 A* conf
Learning to Learn Kernels with Variational Random Features.
ICML
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
2020 J jnl
Learning to Learn Kernels with Variational Random Features.
CoRR
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
2020 A* conf
Learning to Learn Variational Semantic Memory.
NeurIPS
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao
2020 J jnl
Learning to Learn Variational Semantic Memory.
CoRR
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao
2020 — conf
Learning to Learn with Variational Information Bottleneck for Domain Generalization.
ECCV (10)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
2020 J jnl
Learning to Learn with Variational Information Bottleneck for Domain Generalization.
CoRR
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
2020 A conf
Variational Image Deraining.
WACV
Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang