个人简介

个人主页：https://www.xbliu.cn/

科研项目、成果、获奖、专利

主持项目：

1. 国家自然科学基金青年项目，面向真实场景中增量数据的行人重识别方法研究，2025.01-2027.12，30万。

2. 国家资助博士后研究人员计划（C档），复杂场景下的机器人增量式视觉语义感知方法研究，2024.09-2026.08，24万。

参与项目：

1. 科技部国家重点研发计划课题，多模态传感器融合的感知定位导航，2025.01-2027.12, 190万。

2. 科技部国家重点研发计划政府间合作重点专项，面向智慧城市的地空一体化视频内容分析与挖掘，2018.01.01-2020.12.31, 167万。

3. 国家自然科学基金面上项目，基于紧凑图像特征与混合索引的海量图像检索技术研究，2016.01-2019.12，67万。

获奖：

1. 2025.01, 第五届天津市“海河英才”创新创业大赛博士后揭榜领题赛三等奖。

2. 2024.12, 第六届交通运输工程全国优秀博士学位论文奖。

专利：

1. 刘晓滨, 张明昊, 辛永佳, 赵博, 刘晓龙. 信息处理方法、装置、电子设备和存储介质. ZL202411126765.X

2. 刘晓滨, 赵博. 数据处理方法、装置、设备及可读存储介质. ZL202310893001.2

3. Xun Gao, Xiaobin Liu, Wenhan Luo. ARTIFICIAL INTELLIGENCE BASED DATA PRUCESSING METHUD, APPARATUS, DEVICE, AND MEDIUM. HK40091962

4. 高洵，刘晓滨, 罗文寒. 一种基于人工智能的数据处理方法、装置、设备及介质. ZL202310942069.5

5. 张史梁，田奇，高文，刘晓滨. 一种车辆再识别方法及系统. ZL201711395760.7

                               撰写论文、专著、教材等

论文：

1. Xiaobin Liu*, Shiliang Zhang. Who is closer: A Computational Model for Domain Gap Evaluation. Pattern Recognition, 2021.

2. Xiaobin Liu, Shiliang Zhang. Graph Consistency based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification. IJCAI, 2021, Oral. (Acceptance rate: 13.9%)

3. Xiaobin Liu, Shiliang Zhang, Xiaoyu Wang, Richang Hong, Qi Tian. Group-Group Loss Based Global-Regional Feature Learning for Vehicle Re-Identification. IEEE Transactions on Image Processing, 2020.

4. Xiaobin Liu, Shiliang Zhang. Domain Adaptive Person Re-Identification via Coupling Optimization. ACM MM, 2020, Oral. (Oral Acceptance rate: 8.9%)

5. Xiaobin Liu, Shiliang Zhang, Tiejun Huang, Qi Tian. E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Networks for Image Retrieval. Neurocomputing, 2019.

6. Xiaobin Liu, Shiliang Zhang, Ming Yang. Self-Guided Hash Coding for Large-Scale Person Re-Identification. IEEE MIPR, 2019, Oral. (Acceptance rate: 19.3%)

7. Xiaobin Liu, Shiliang Zhang, Qingming Huang, Wen Gao. RAM: A Region-Aware Deep Model for Vehicle Re-Identification. IEEE ICME, 2018.

8. Xiaobin Liu, Shiliang Zhang, Tiejun Huang, Qi Tian. E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network. China MM, 2017.

9. Yishuo Chen, Boran Wang, Xinyu Guo, Wenbin Zhu, Jiasheng He, Xiaobin Liu, Jing Yuan. DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection. ICPR 2024.

10. Jianzhong He, Xiaobin Liu, Shiliang Zhang. EAGER: Edge-Aided imaGe understanding System. ACM ICMR demo, 2019.

11. Shangzhi Teng, Xiaobin Liu, Shiliang Zhang, Qingming Huang. SCAN: Spatial and Channel Attention Network for Vehicle Re-Identification. PCM, 2018.

12. Longhui Wei, Xiaobin Liu, Jianing Li, Shiliang Zhang. VP-ReID: Vehicle and Person Re-Identification System. ACM ICMR demo, 2018.

讲授课程

深度学习编程实践

社会兼职

审稿人：IJCV, IEEE TIP, IEEE TMM,  IEEE TVT, IEEE CSVT, IEEE ITS, IEEE JBHI, IET-CVI, Neurocomputing, Artificial Intelligence Review, JVCIR, CVIU, CVPR, ICCV, ECCV, ACM MM, AAAI, ICME, ISCAS, VCIP.

学术组织：中国电子教育学会会员，中国图像图形学会会员，中国自动化学会会员。