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2020 – today
- 2024
[j7]Yingjun Du
, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024)- [j6]Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li, Shengyong Chen, Yingjun Du, Xiantong Zhen, Honghai Liu:
Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. IEEE Trans. Cybern. 54(4): 2592-2605 (2024) - [c15]Yingjun Du, Wenfang Sun, Cees Snoek:
IPO: Interpretable Prompt Optimization for Vision-Language Models. NeurIPS 2024 - [i17]Wenfang Sun, Yingjun Du, Gaowen Liu, Ramana Kompella, Cees G. M. Snoek:
Training-Free Semantic Segmentation via LLM-Supervision. CoRR abs/2404.00701 (2024) - [i16]Yingjun Du, Wenfang Sun, Cees G. M. Snoek:
IPO: Interpretable Prompt Optimization for Vision-Language Models. CoRR abs/2410.15397 (2024) - [i15]Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek:
Prompt Diffusion Robustifies Any-Modality Prompt Learning. CoRR abs/2410.20164 (2024) - [i14]Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves:
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. CoRR abs/2411.04679 (2024) - [i13]Wenfang Sun, Yingjun Du, Gaowen Liu, Cees G. M. Snoek:
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. CoRR abs/2411.19534 (2024) - 2023
- [j5]Lei Zhang, Yingjun Du, Jiayi Shen, Xiantong Zhen:
Learning to Learn With Variational Inference for Cross-Domain Image Classification. IEEE Trans. Multim. 25: 3319-3328 (2023) - [c14]Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoLLAs 2023: 1-20 - [c13]Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CVPR 2023: 19944-19954 - [c12]Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves:
Memory-augmented Variational Adaptation for Online Few-shot Segmentation. ICCV (Workshops) 2023: 3316-3325 - [c11]Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek:
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. ICML 2023: 32847-32858 - [c10]Shuo Chen, Ying-Jun Du, Pascal Mettes, Cees G. M. Snoek:
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. ICMR 2023: 39-47 - [c9]Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek:
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion. NeurIPS 2023 - [i12]Ying-Jun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. CoRR abs/2304.00101 (2023) - [i11]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 abs/2305.10309 (2023) - [i10]Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek:
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. CoRR abs/2306.05189 (2023) - [i9]Shuo Chen, Yingjun Du, Pascal Mettes, Cees G. M. Snoek:
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. CoRR abs/2306.10122 (2023) - [i8]Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek:
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion. CoRR abs/2306.14770 (2023) - 2022
- [j4]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: 275-286 (2022) - [c8]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. ICLR 2022 - 2021
- [j3]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): 4283-4292 (2021) - [c7]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: 5254-5268 - [c6]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. ICLR 2021 - [i7]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 abs/2105.03781 (2021) - [i6]Ying-Jun Du, Nithin Holla, Xiantong Zhen, Cees G. M. Snoek, Ekaterina Shutova:
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. CoRR abs/2106.02960 (2021) - [i5]Ying-Jun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Hierarchical Variational Memory for Few-shot Learning Across Domains. CoRR abs/2112.08181 (2021) - 2020
- [j2]Lei Zhang, Ying-Jun Du, Xin Li, Xiantong Zhen:
Calibrated Multivariate Regression Networks. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4222-4231 (2020) - [j1]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [c5]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: 200-216 - [c4]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: 11409-11419 - [c3]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [c2]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i4]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i3]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i2]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 abs/2007.07645 (2020) - [i1]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020)
2000 – 2009
- 2009
- [c1]Yingjun Du, Chongchong Yu, Jie Liu:
A Study of GIS Development Based on KML and Google Earth. NCM 2009: 1581-1585
Coauthor Index
aka: Cees G. M. Snoek
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