6 papers
MoSSGate: Memory-Modulated State-Space Gating for Skin Lesion Segmentation
Anum Awan, Mahnoor Buriro, Muhammad Younas Khan +1
Accurate skin lesion segmentation is crucial for reliable computer-aided dermatological diagnosis, yet existing convolutional and transformer-based models often struggle to jointly…
MTF-Net: Multi-Modal Temporal Feature Fusion Network for Pedestrian Intention Prediction
Md Mahfuzur Rahman, Pengzhan Zhou, A. F. M. Abdun Noor +3
Accurately predicting pedestrian intentions is crucial for ensuring safe and proactive interaction between autonomous vehicles and pedestrians. However, existing approaches often d…
Adaptive Cross-Modal Fusion with Sparse Attention for Pedestrian Crossing Intention Prediction
Md Mahfuzur Rahman, Pengzhan Zhou, A F M Abdun Noor +5
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 stra…
BiLoG-Net: A Bi-Context Location-Guided Network for Breast Mass Segmentation and Malignancy Classification in Mammography
Abu Fatema Mohammad Abdun Noor, Md Imam Ahasan, Md Samiul Ahasan +3
Breast cancer remains the most commonly diagnosed malignancy among women worldwide, yet accurate detection and characterization of breast masses in mammography remain challenging d…
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 +3
Computed tomography (CT) is a critical imaging modality for clinical diagnosis, but reducing radiation dose inevitably introduces severe noise and structured artifacts that degrade…
TSCA-Net: Temporal-Spatial Clique Attention for Interpretable Multimodal Pedestrian Trajectory Prediction
Md Mustafizur Rahman, Guangchao Yang, A F M Abdun Noor +3
Accurate pedestrian trajectory prediction in crowded environments remains challenging due to the multimodal uncertainty of human motion and the variable complexity of motion dynami…