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ORCIDKun Yan 0008
Person information
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Kun Yan — disambiguation page
- Kun Yan 0001
![[0000-0003-1795-4559]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1795-4559")
— Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou, China - Kun Yan 0002 — Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, China
- Kun Yan 0003 — Xi'an Technological University, Xi'an, China
- Kun Yan 0004 — StepFun, Shanghai, China
- Kun Yan 0005 — Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China
- Kun Yan 0006 — Xi'an Technological University, Xi'an, China
- Kun Yan 0007 — University of Arizona, Tucson, AZ, USA
- Kun Yan 0009 — Guilin University of Electronic Technology, Guilin, Guangxi, China
- Kun Yan 0010 — Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou, China
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2020 – today
- 2025
[j2]Kun Yan, Fangyun Wei, Shuyu Dai, Minghui Wu, Ping Wang, Chang Xu:
Low-Shot Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5538-5555 (2025)- [j1]Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert:
Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection. ACM Trans. Multim. Comput. Commun. Appl. 21(3): 80:1-80:28 (2025) - [c14]Fangyun Wei, Jinjing Zhao, Kun Yan, Chang Xu:
Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation. CVPR 2025: 19304-19314 - [c13]Zixun Yin, Da Zou, Yi Zhao, Chenbin Zhang, Weishi Li, Minghui Wu, Kun Yan, Ping Wang:
Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT. MICCAI (11) 2025: 147-156 - 2024
- [c12]Chenbin Zhang, Zhiqiang Hu, Shuyu Dai, Qingyuan He, Defeng Liu, Kun Yan, Ping Wang:
Boundary-Aware Contrastive Learning for Single-Source Domain Generalization in Medical Image Segmentation. ICME 2024: 1-6 - [c11]Minghui Wu, Chenxu Zhao, Anyang Su, Donglin Di, Tianyu Fu, Da An, Min He, Ya Gao, Meng Ma, Kun Yan, Ping Wang:
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding. ACM Multimedia 2024: 7316-7325 - [c10]Fangyun Wei, Jinjing Zhao, Kun Yan, Hongyang Zhang, Chang Xu:
A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era. NeurIPS 2024 - [i7]Minghui Wu, Chenxu Zhao, Anyang Su, Donglin Di, Tianyu Fu, Da An, Min He, Ya Gao, Meng Ma, Kun Yan, Ping Wang:
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding. CoRR abs/2407.08150 (2024) - [i6]Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert:
Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection. CoRR abs/2412.13732 (2024) - 2023
- [c9]Kun Yan, Xiao Li, Fangyun Wei, Jinglu Wang, Chenbin Zhang, Ping Wang, Yan Lu:
Two-shot Video Object Segmentation. CVPR 2023: 2257-2267 - [c8]Chenbin Zhang, Qingyuan He, Kun Yan, Meng Ma, Defeng Liu, Ping Wang:
CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation. ICME 2023: 2351-2356 - [c7]Deng Luo, Qingyuan He, Meng Ma, Kun Yan, Defeng Liu, Ping Wang:
ECANodule: Accurate Pulmonary Nodule Detection and Segmentation with Efficient Channel Attention. IJCNN 2023: 1-8 - [i5]Kun Yan, Xiao Li, Fangyun Wei, Jinglu Wang, Chenbin Zhang, Ping Wang, Yan Lu:
Two-shot Video Object Segmentation. CoRR abs/2303.12078 (2023) - 2022
- [c6]Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. AAAI 2022: 2991-2999 - [c5]Han Ding, Kun Yan, Zheyan Tu, Ping Wang:
Exploring a Universal Training Method for Medical Image Classification. ICMHI 2022: 1-8 - 2021
- [c4]Kun Yan, Lingbo Liu, Jun Hou, Ping Wang:
Representative Local Feature Mining for Few-Shot Learning. ICASSP 2021: 1730-1734 - [c3]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-Shot Image Classification with Multi-Facet Prototypes. ICASSP 2021: 1740-1744 - [c2]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. ICMR 2021: 367-375 - [i4]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-shot Image Classification with Multi-Facet Prototypes. CoRR abs/2102.00801 (2021) - [i3]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. CoRR abs/2105.10195 (2021) - [i2]Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. CoRR abs/2112.01037 (2021)
2010 – 2019
- 2019
- [c1]Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang:
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. NeurIPS 2019: 2130-2141 - [i1]Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang:
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. CoRR abs/1909.08174 (2019)
Coauthor Index
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