Publications

Selected peer-reviewed publications and presentations in computer vision, UAV-based perception, spatiotemporal tracking, and applied AI.

Selected Publications

  1. M. H. Rahman and S. Madria. "STARD-Net: SpatioTemporal Attention for Robust Detection of Tiny Airborne Objects from Moving Drones." ACM Transactions on Spatial Algorithms and Systems, 2026. DOIProjectCodeVideo
  2. M. H. Rahman and S. Madria. "KRAfT: Kalman Residual Diffusion with Formation Awareness for UAV Swarm Tracking." IEEE ICPR, accepted, 2026. PaperProjectCodeVideo
  3. M. H. Rahman and S. Madria. "V-USDT: Vision-Based UAV Swarm Detection and Tracking by Leveraging Swarm Formation Constraints." IEEE MDM, 2025. DOIProject

Journal Articles

  1. M. H. Rahman and S. Madria. "STARD-Net: SpatioTemporal Attention for Robust Detection of Tiny Airborne Objects from Moving Drones." ACM Transactions on Spatial Algorithms and Systems, 12(1), 1-48, 2026. DOIProjectCode

Conference Papers

  1. M. H. Rahman and S. Madria. "KRAfT: Kalman Residual Diffusion with Formation Awareness for UAV Swarm Tracking." IEEE International Conference on Pattern Recognition, accepted, 2026. PaperProjectCode
  2. M. H. Rahman and S. Madria. "V-USDT: Vision-Based UAV Swarm Detection and Tracking by Leveraging Swarm Formation Constraints." IEEE International Conference on Mobile Data Management, 55-61, 2025. DOIProject
  3. M. H. Rahman and S. Madria. "An Augmented Dataset for Vision-Based Unmanned Aerial Vehicles Detection and Tracking." IEEE Applied Imagery Pattern Recognition Workshop, 1-8, 2023. DOIProjectCode

Posters and Presentations

  1. "Radiogenomic Brain Tumor Classification from MRI Sequences." Pathways 2026 Symposium, NextGen Precision Health. Recognized as Top 3 Best Poster. ProjectCode

Earlier Work

  1. M. H. Rahman and M. R. Islam. "Predict Student's Academic Performance and Evaluate the Impact of Different Attributes on the Performance Using Data Mining Techniques." 2nd International Conference on Electrical & Electronic Engineering, 2017. Scholar