吴瀚霖

教育背景

2019.09 - 2022.07 北京师范大学计算机应用技术专业博士

教学研究

教授课程:深度学习概论及应用(本科课程)、深度学习(研究生课程)

研究方向:计算机视觉、遥感影像处理、图像恢复与增强、多模态机器学习

学术成果(近三年)

项目

- 自适应学习框架下显著性引导的遥感影像超分辨率重建方法研究,44118太阳成城集团,2022-2025.

论文

- Wenqian Zhou, Hanlin Wu. From coarse to fine: An offline-online approach for remote sensing cross-modal retrieval. 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024.

- Hanlin Wu, Ning Ni, Shan Wang, Libao Zhang. Conditional stochastic normalizing flows for blind super-resolution of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5617916: 1-16. DOI: 10.1109/TGRS.2023.3304297.

- Hanlin Wu, Ning Ni, Libao Zhang. Learning dynamic scale awareness and global implicit functions for continuous-scale super-resolution of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5602315: 1-15. DOI: 10.1109/TGRS.2023.3240254.

- Hanlin Wu, Ning Ni, Libao Zhang. Lightweight stepless super-resolution of remote sensing images via saliency-aware dynamic routing strategy. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5601717: 1-17. DOI: 10.1109/TGRS.2023.3236624.

- Hanlin Wu, Libao Zhang, Jie Ma. Remote sensing image super-resolution via saliency-guided feedback GANs. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5600316: 1-16. DOI: 10.1109/TGRS.2020.3042515.

- Libao Zhang, Hanlin Wu. Cosaliency detection and region-of-interest extraction via manifold ranking and MRF in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5604417: 1-17. DOI: 10.1109/TGRS.2021.3079441.

- 吴瀚霖, 李宛谕, 张立保. 跨尺度耦合的连续比例因子图像超分辨率. 中国图象图形学报, 2022, 27(05):1604-1615. DOI: 10.11834/jig.210815.

- Ning Ni, Hanlin Wu, Libao Zhang. Deformable alignment and scale-adaptive feature extraction network for continuous-scale satellite video super-resolution. 2022 IEEE International Conference on Image Processing (ICIP), 2022: 2746-2750. DOI: 10.1109/ICIP46576.2022.9897998.

- Ning Ni, Hanlin Wu, Libao Zhang. Hierarchical feature aggregation and self-learning network for remote sensing image continuous-scale super-resolution. IEEE Geoscience and Remote Sensing Letters, 2022, 19, 8023505: 1-5. DOI: 10.1109/LGRS.2021.3122985.

荣誉奖励

北京师范大学研究生学术创新特等奖

研究生国家奖学金

教师个人主页

https://faculty.bfsu.edu.cn/hlwu/zh_CN/index.htm


Copyright @ BFSU. 44118太阳成城集团·(Macau)官网版权所有.   Supported by BFSU ITC
地址:北京市海淀区西三环北路2号/19号    邮编:100089  电话:+86-01088816746      传真:+86-01088816746