Weikang Yu

According to our database, Weikang Yu authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Prototypical Unknown-Aware Multiview Consistency Learning for Open-Set Cross-Domain Remote Sensing Image Classification.

Xiaokang Zhang, Wanjing Wu, Mi Zhang, Weikang Yu, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2024

MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery.

Weikang Yu, Xiaokang Zhang, Richard Gloaguen, Xiaoxiang Zhu, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2024

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification.

Weikang Yu, Xiaokang Zhang, Samiran Das, Xiaoxiang Zhu, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2024

ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing.

Yuduo Wang, Weikang Yu, Michael Kopp, Pedram Ghamisi

CoRR, 2024

Responsible AI for Earth Observation.

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

CoRR, 2024

Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models.

Weikang Yu, Yonghao Xu, Pedram Ghamisi

Int. J. Appl. Earth Obs. Geoinformation, 2024

MineNet-CD: Global Mining Change Detection Dataset.

Weikang Yu, Samiran Das, Aldino Rizaldy, Xiaokang Zhang, Richard Gloaguen, Pedram Ghamisi

Proceedings of the IGARSS 2024, 2024

2023

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.

Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter

IEEE Trans. Image Process., 2023

Federated Deep Learning With Prototype Matching for Object Extraction From Very-High-Resolution Remote Sensing Images.

Xiaokang Zhang, Boning Zhang, Weikang Yu, Xudong Kang

IEEE Trans. Geosci. Remote. Sens., 2023

Weakly Supervised Local-Global Anchor Guidance Network for Landslide Extraction With Image-Level Annotations.

Xiaokang Zhang, Weikang Yu, Xianping Ma, Xudong Kang

IEEE Geosci. Remote. Sens. Lett., 2023

2022

Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery.

Xiaokang Zhang, Weikang Yu, Man-On Pun

IEEE Trans. Geosci. Remote. Sens., 2022

Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks.

Weikang Yu, Xiaokang Zhang, Man-On Pun

IEEE Geosci. Remote. Sens. Lett., 2022

AI Security for Geoscience and Remote Sensing: Challenges and Future Trends.

Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi

CoRR, 2022

Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification.

Yonghao Xu, Weikang Yu, Pedram Ghamisi

Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021

Style Transformation-Based Change Detection Using Adversarial Learning with Object Boundary Constraints.

Xiaokang Zhang, Weikang Yu, Man-On Pun, Ming Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Hybrid Model-Based and Data-Driven Approach for Cloud Removal in Satellite Imagery Using Multi-Scale Distortion-Aware Networks.

Weikang Yu, Xiaokang Zhang, Man-On Pun, Ming Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021