From the 1 of 3 linked papers with an AI index.
3 papers
Adaptive Cross-Modal Fusion with Sparse Attention for Pedestrian Crossing Intention Prediction
Md Mahfuzur Rahman, Pengzhan Zhou, A F M Abdun Noor +5
The paper introduces ADAPT, a transformer-based multimodal framework that combines visual inputs (RGB, depth, semantic maps) with motion and pose information to predict pedestrian…
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…