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Duc-Trong Le

2 papers indexed

arxivcs.CV2026-06-29

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation

Tuan-Duc Nguyen, Anh-Tuan Mai, Duc-Trong Le

Segment Anything Model (SAM) has revolutionized promptable image segmentation with strong zero-shot generalization. However, its performance degrades substantially under real-world imaging artifacts such as noise, blur, and compression. Existing methods restore features globally…

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arxivcs.CV2026-06-29

FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather

Tuan-Duc Nguyen, Duc-Trong Le

Object detection under adverse weather remains challenging due to severe visual degradations and domain shifts. Existing enhancer-based approaches attempt to improve detection by cascading an enhancer with a detector, but they introduce redundant feature extraction and incur high…

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