Yingjun Du

According to our database, Yingjun Du authored at least 22 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder.

Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li, Shengyong Chen, Yingjun Du, Xiantong Zhen, Honghai Liu

IEEE Trans. Cybern., April, 2024

MetaKernel: Learning Variational Random Features With Limited Labels.

Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Training-Free Semantic Segmentation via LLM-Supervision.

Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek

CoRR, 2024

2023

Learning to Learn With Variational Inference for Cross-Domain Image Classification.

Lei Zhang, Yingjun Du, Jiayi Shen, Xiantong Zhen

IEEE Trans. Multim., 2023

ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.

Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation.

Shuo Chen, Ying-Jun Du, Pascal Mettes, Cees G. M. Snoek

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks.

Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek

Proceedings of the International Conference on Machine Learning, 2023

Memory-augmented Variational Adaptation for Online Few-shot Segmentation.

Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail.

Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EMO: Episodic Memory Optimization for Few-Shot Meta-Learning.

Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Variational Abnormal Behavior Detection With Motion Consistency.

Jing Li, Qingwang Huang, Ying-Jun Du, Xiantong Zhen, Shengyong Chen, Ling Shao

IEEE Trans. Image Process., 2022

Hierarchical Variational Memory for Few-shot Learning Across Domains.

Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning to Adapt With Memory for Probabilistic Few-Shot Learning.

Lei Zhang, Liyun Zuo, Ying-Jun Du, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2021

MetaNorm: Learning to Normalize Few-Shot Batches Across Domains.

Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

Proceedings of the 9th International Conference on Learning Representations, 2021

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation.

Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees Snoek, Ekaterina Shutova

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Conditional Variational Image Deraining.

Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao

IEEE Trans. Image Process., 2020

Calibrated Multivariate Regression Networks.

Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen

IEEE Trans. Circuits Syst. Video Technol., 2020

Variational Image Deraining.

Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning to Learn Variational Semantic Memory.

Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Learn Kernels with Variational Random Features.

Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Learn with Variational Information Bottleneck for Domain Generalization.

Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

2009

A Study of GIS Development Based on KML and Google Earth.

Yingjun Du, Chongchong Yu, Jie Liu

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009