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Donghao Chu

2 accepted papers

2026

DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance

AAAI 2026technical

Infrared imaging plays a critical role in low-light and adverse weather conditions. However, due to the distinct characteristics of infrared images, existing foundation models such as Masked Autoencoder (MAE) trained on visible data perform suboptimal in infrared image interpretation tasks. To bridg

Cited by 0SourcePDFScholar
2026

Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection

ICML 2026poster

Accurately localizing and segmenting small targets in low signal-to-noise ratio (SNR) infrared sequences remains a challenging task. Since targets are often indistinguishable from the background in individual frames, existing methods, even when equipped with advanced foundation model and powerful in…

Cited by 0SourceScholar