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Weikang Yu
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2020 – today
- 2024
- [j9]Weikang Yu, Yonghao Xu, Pedram Ghamisi:
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models. Int. J. Appl. Earth Obs. Geoinformation 133: 104131 (2024) - [j8]Weikang Yu, Xiaokang Zhang, Samiran Das, Xiaoxiang Zhu, Pedram Ghamisi:
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j7]Weikang Yu, Xiaokang Zhang, Richard Gloaguen, Xiaoxiang Zhu, Pedram Ghamisi:
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j6]Xiaokang Zhang, Wanjing Wu, Mi Zhang, Weikang Yu, Pedram Ghamisi:
Prototypical Unknown-Aware Multiview Consistency Learning for Open-Set Cross-Domain Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c4]Weikang Yu, Samiran Das, Aldino Rizaldy, Xiaokang Zhang, Richard Gloaguen, Pedram Ghamisi:
MineNet-CD: Global Mining Change Detection Dataset. IGARSS 2024: 905-908 - [i7]Weikang Yu, Xiaokang Zhang, Samiran Das, Xiaoxiang Zhu, Pedram Ghamisi:
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. CoRR abs/2404.12081 (2024) - [i6]Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson:
Responsible AI for Earth Observation. CoRR abs/2405.20868 (2024) - [i5]Weikang Yu, Xiaokang Zhang, Xiaoxiang Zhu, Richard Gloaguen, Pedram Ghamisi:
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery. CoRR abs/2407.03971 (2024) - [i4]Yuduo Wang, Weikang Yu, Michael Kopp, Pedram Ghamisi:
ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing. CoRR abs/2410.10047 (2024) - 2023
- [j5]Xiaokang Zhang, Weikang Yu, Xianping Ma, Xudong Kang:
Weakly Supervised Local-Global Anchor Guidance Network for Landslide Extraction With Image-Level Annotations. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j4]Xiaokang Zhang, Boning Zhang, Weikang Yu, Xudong Kang:
Federated Deep Learning With Prototype Matching for Object Extraction From Very-High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j3]Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. IEEE Trans. Image Process. 32: 5737-5750 (2023) - [i3]Weikang Yu, Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models. CoRR abs/2307.16865 (2023) - 2022
- [j2]Weikang Yu, Xiaokang Zhang, Man-On Pun:
Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j1]Xiaokang Zhang, Weikang Yu, Man-On Pun:
Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c3]Yonghao Xu, Weikang Yu, Pedram Ghamisi:
Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. CDCEO@IJCAI 2022: 73-78 - [i2]Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. CoRR abs/2208.04441 (2022) - [i1]Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi:
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. CoRR abs/2212.09360 (2022) - 2021
- [c2]Xiaokang Zhang, Weikang Yu, Man-On Pun, Ming Liu:
Style Transformation-Based Change Detection Using Adversarial Learning with Object Boundary Constraints. IGARSS 2021: 3117-3120 - [c1]Weikang Yu, Xiaokang Zhang, Man-On Pun, Ming Liu:
A Hybrid Model-Based and Data-Driven Approach for Cloud Removal in Satellite Imagery Using Multi-Scale Distortion-Aware Networks. IGARSS 2021: 7160-7163
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