孙嘉
博士、讲师
博士、讲师
办公电话: | 电子邮件: jiasun1@bjtu.edu.cn |
通讯地址:电信学院九教南504 | 邮编: |
2019年9月-2022年9月 北京交通大学 信息与通信工程 博士
2017年9月-2019年6月 北京交通大学 电子科学与技术 硕士 (硕博连读)
2013年9月-2017年6月 北京交通大学 电子科学与技术 学士
2022年11月-至今 北京交通大学 电子信息工程学院 讲师,硕士生导师
红果园国家级"四总部":XX识别建模及XX评估方法研究, 2024-2024,参加
自然科学横向项目:多模态图像融合方法研究,2024-2025,参加
北京市自然基金“青年项目”: 单源域泛化行人再识别研究, 2024-2025,主持
北京市自然基金“面上”: 无监督行人再识别研究, 2023-2025,参加
自然科学类人才基金项目: 无监督行人再识别方法研究, 2023-2025,主持
国家自然基金“面上”:基于RGB-红外图像的跨模态行人再识别研究, 2022-2025,参加
数字信号处理(本科生)
近代数字信号处理(研究生)
J. Sun, Y. Li, L. Chen, H. Chen, W. Peng. Multiple integration model for single-source domain generalizable person re-identification, Journal of Visual Communication and Image Representation, 2024, 98: 104037.
J. Sun, Y. Li, H. Chen, Y. Peng, X. Zhu. Visible-infrared person re-identification model based on feature consistency and modal indistinguishability, Machine Vision and Applications, 2023, 34: 14.
J. Sun, Y. Li, H. Chen, X. Zhu, Y. Peng. Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification, Knowledge-based Systems, 2022, 251: 109162.
J. Sun, Y. Li, H. Chen, Y. Peng, J. Zhu. Unsupervised cross domain person re-identification by multi-loss optimization learning, IEEE Transactions on Image Processing, 2021, 30: 2935-2946.
J. Sun, Y. Li, H. Chen, B. Zhang, J. Zhu. MEMF: Multi-level-attention embedding and multi-layer-feature fusion model for person re-identification, Pattern Recognition, 2021, 116: 107937.
J. Sun, Y. Li, H. Chen, Y. Peng, X. Zhu, J. Zhu. Visible-infrared cross-modality person re-identification based on whole-individual training, Neurocomputing, 2021, 440: 1-11.
J. Sun Y. Li, H. Chen, Y. Peng. A person re-identification baseline based on attention block neural architecture search, IEEE International Conference on Image Processing (ICIP), 2022, 841-845.
J. Sun, Y. Li, H. Chen, J. Li, F. Li, Pedestrian detection based on depth information, International Conference on Machine Learning and Computing, 2020, 249-253. [EI]
J. Sun, Y. Li, H. Chen, Y. Peng. A sample diversity and identity consistency based cross-modality model for visible-infrared person re-identification, International Conference on Digital Image Processing, 2022, 12342. [EI]
X. Zhu, Y. Li, J. Sun, H. Chen, J. Zhu. Learning with noisy labels method for unsupervised domain adaptive person re-identification, Neurocomputing, 2021, 452: 78-88. [An2, IF:5.662]
X. Zhu, Y. Li, J. Sun, H. Chen, J. Zhu. Unsupervised domain adaptive person re-identification via camera penalty learning, Multimedia Tools and Applications, 2021, 80(10): 15215-15232.
Y. Li, B. Zhang, J. Sun, H. Chen, X. Zhu, J. Zhu. Person re-identification based on activation guided identity and attribute classification model, Multimedia Tools and Applications, 2021, 80(10): 14961-14977.
李艳凤, 张斌, 孙嘉, 陈后金, 朱锦雷. 基于多池化融合与背景消除网络的跨数据集行人再识别方法, 通信学报, 2020, 41(10):70-79.
W. Peng, H. Chen, Y. Li, J. Sun. Multi-source domain generalization peron re-identification with knowledge accumulation and distribution enhancement, Applied Intelligence, 2024, 54: 1818-1830.
J. Li, H. Chen, Y. Li, Y. Peng, J. Sun, P. Pan, Cross-modality synthesis aiding lung tumor segmentation on multi-modal MRI images, Biomedical Signal Processing and Control, 2022, 76: 103655.
B. Zhang, Y. Li, H. Chen, J. Sun. Improving person re-identification by mask guiding and part pooling, International Conference on Machine Learning and Computing, 2020, 301-306.
李艳凤, 孙嘉, 陈后金, 张斌. 一种行人再识别方法, 2023-12, 中国, ZL202010165628.2
孙嘉,李艳凤, 陈卢一夫, 陈后金, 王敏鋆. 一种单源域泛化行人再识别方法, 2024-05-24, 中国, ZL202311138188.1