activity
20162026
most citedShip Wake Detection in SAR Images via Sparse Regularization

75 citations · 318 across the 44 of their papers we have counts for

collaborators

45 papers

cs.CV2026

DTKDP: A Dual Teacher Knowledge Distillation and Pruning Framework for Lightweight Oriented SAR Ship Detection

Yuming Li, Fan Zhang, Alin M. Achim

Two-stage oriented detectors achieve high localization accuracy in synthetic aperture radar (SAR) ship detection, but their large backbones, feature pyramids, proposal modules, and…

cs.CV2025★ 1 cited

NASTaR: NovaSAR Automated Ship Target Recognition Dataset

Benyamin Hosseiny, Kamirul Kamirul, Odysseas Pappas +1

Synthetic Aperture Radar (SAR) offers a unique capability for all-weather, space-based maritime activity monitoring by capturing and imaging strong reflections from ships at sea. A…

cs.CV2025

Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text Prompts

Kamirul Kamirul, Odysseas Pappas, Alin Achim

Detecting ship presence via wake signatures in SAR imagery is attracting considerable research interest, but limited annotated data availability poses significant challenges for su…

cs.CV2025

R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable Proposals

Kamirul Kamirul, Odysseas Pappas, Alin Achim

We introduce R-Sparse R-CNN, a novel pipeline for oriented ship detection in Synthetic Aperture Radar (SAR) images that leverages sparse learnable proposals enriched with backgroun…

eess.IV2025

Diffusion Probabilistic Models for Compressive SAR Imaging

Odysseas Pappas, Perla Mayo, Andrew Austin +1

Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computati…

eess.IV2024

A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data

Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2

Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates vis…