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个人信息Personal Information
教师拼音名称:wuhanlin
电子邮箱:
所在单位:信息科学技术学院
学位:工学博士学位
- 吴瀚霖,邓培,周文茜.Toward Efficient and Accurate Remote Sensing Image-Text Retrieval With a Coarse-to-Fine Approach:IEEE Geoscience and Remote Sensing Letters,2024,1
- 吴瀚霖,周文茜.From Coarse To Fine: An Offline-Online Approach for Remote Sensing Cross-Modal Retrieval:2024 IEEE International Geoscience and Remote Sensing Symposium,2024,1
- .Conditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images.[J]:IEEE Transactions on Geoscience and Remote Sensing,2023,61(5617916)
- .Learning Dynamic Scale Awareness and Global Implicit Functions for Continuous-Scale Super-Resolution of Remote Sensing Images.[J]:IEEE Transactions on Geoscience and Remote Sensing,2023,61(5602315):1-15
- .Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy.[J]:IEEE Transactions on Geoscience and Remote Sensing,2023,61(5601717):1-17
- .Deformable Alignment and Scale-Adaptive Feature Extraction Network for Continuous-Scale Satellite Video Super-Resolution.[C]:IEEE International Conference on Image Processing (ICIP),2022
- .跨尺度耦合的连续比例因子图像超分辨率:中国图像图形学报,2022,27(05):1604-1615
- .Hierarchical Feature Aggregation Feedback Network for Remote Sensing Image Arbitrary Scale Super-resolution:IEEE Geoscience and Remote Sensing Letters,2021,19(8023505):1-5
- .Afdn: Attention-Based Feedback Dehazing Network For Uav Remote Sensing Image Haze Removal:IEEE International Conference on Image Processing (ICIP),2021:3822-2826
- .Cosaliency Detection and Region-of-Interest Extraction via Manifold Ranking and MRF in Remote Sensing Images.[J]:IEEE Transactions on Geoscience and Remote Sensing,2021,60(5604417):1-17
- .Remote Sensing Image Super-Resolution via Saliency-Guided Feedback GANs.[J]:IEEE Transactions on Geoscience and Remote Sensing,2020,60(5600316):1-16
- .SD-FB-GAN: Saliency-Driven Feedback GAN for Remote Sensing Image Super-Resolution Reconstruction.[C]:IEEE International Conference on Image Processing (ICIP),2020:528-532
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