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S. M. Hasan Mahmud

2 papers indexed

arxivcs.CV2026-07-14

Adaptive Cross-Modal Fusion with Sparse Attention for Pedestrian Crossing Intention Prediction

Md Mahfuzur Rahman, Pengzhan Zhou, A F M Abdun Noor, Md Imam Ahasan, Kah Ong Michael Goh, S. M. Hasan Mahmud, et al.

Predicting pedestrian crossing intention is a safety-critical task for autonomous driving, yet existing approaches often rely on single-modal inputs or dense multimodal fusion strategies that inadequately capture complementary visual and kinematic information while introducing re…

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arxivcs.CVcs.LG2026-07-11

GenDiff: A Dose and Anatomy Aware Diffusion Model with Structural Prior Refinement for Low-Dose CT Reconstruction and Generalization

Md Imam Ahasan, Guangchao Yang, A F M Abdun Noor, Kah Ong Michael Goh, S. M. Hasan Mahmud, Md Mahfuzur Rahman

Computed tomography (CT) is a critical imaging modality for clinical diagnosis, but reducing radiation dose inevitably introduces severe noise and structured artifacts that degrade image quality. Existing deep learning-based low-dose CT (LDCT) reconstruction methods are typically…

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