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Published in IEEE Transactions on Geoscience and Remote Sensing, 2024
This paper is about addressing the challenges of few-shot object detection in remote-sensing images.
Published in arXiv preprint arXiv:2505.12108, 2025
This paper proposes EarthSynth, a diffusion-based generative foundation model that synthesizes multi-category, cross-satellite labeled Earth observation data for downstream remote sensing image interpretation tasks.
Published in IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
This paper proposes Control Copy-Paste, a controllable diffusion-based data augmentation method for few-shot object detection in optical remote sensing imagery.
Published in IEEE Geoscience and Remote Sensing Letters, 2025
This paper proposes a novel framework that leverages diffusion models to synthesize diverse remote sensing instances for improving few-shot object detection performance.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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