Ying-Jun Du

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 21

Top Topics

Information Bottleneck

Sense Disambiguation

Feature Hierarchies

Visual Recognition

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

IEEE Trans. Image Process.

Publications

Wenfang Sun, Ying-Jun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. CoRR (2023)
Shuo Chen, Ying-Jun Du, Pascal Mettes, Cees G. M. Snoek
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. ICMR (2023)
Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CoRR (2023)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR (2022)
Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao
Variational Abnormal Behavior Detection With Motion Consistency. IEEE Trans. Image Process. 31 (2022)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR (2021)
Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR (2021)
Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR (2021)
Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR (2021)
Lei Zhang, Liyun Zuo, Ying-Jun Du, Xiantong Zhen
Learning to Adapt With Memory for Probabilistic Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 31 (11) (2021)
Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. ACL/IJCNLP (1) (2021)
Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang
Variational Image Deraining. WACV (2020)
Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen
Calibrated Multivariate Regression Networks. IEEE Trans. Circuits Syst. Video Technol. 30 (11) (2020)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR (2020)
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Learning to Learn Kernels with Variational Random Features. CoRR (2020)
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
Conditional Variational Image Deraining. CoRR (2020)
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Learning to Learn Kernels with Variational Random Features. ICML (2020)
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao
Learning to Learn Variational Semantic Memory. NeurIPS (2020)
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao
Learning to Learn Variational Semantic Memory. CoRR (2020)
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29 (2020)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) (2020)