2 citations · 2 across the 6 of their papers we have counts for
7 papers
Severity-Channel Conditioning: An Injection-Level Study for Consumer-Device Deblurring
Abdullah Al Shafi, Kazi Saeed Alam, Sumaiya Rahim Suma +1
Motion-deblurring models lose substantial accuracy when transferred from professional cameras to smartphone-derived imagery. This paper studies whether a severity descriptor, partl…
BTI-Net: Bidirectional Decoder-Level Task Interaction via Uncertainty-Aware Gating for Multi-Task Medical Image Analysis
Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2
Jointly learning to segment and classify medical images demands cross-task synergy, yet encoder-sharing architectures limit decoder reconstruction to task-private representations,…
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
Abdullah Al Shafi, Kazi Saeed Alam, Sk Imran Hossain +1
Parameter compression of class-conditional diffusion models exposes a structural limitation in output-level distillation: supervising only the guided output leaves the two score br…
iPhoneBlur: A Difficulty-Stratified Benchmark for Consumer Device Motion Deblurring
Abdullah Al Shafi, Kazi Saeed Alam
Motion blur restoration on consumer mobile devices is typically evaluated using aggregate metrics that obscure performance variation across blur difficulty, masking model behavior…
BiST: A Gold Standard Bangla-English Bilingual Corpus for Sentence Structure and Tense Classification with Inter-Annotator Agreement
Abdullah Al Shafi, Swapnil Kundu Argha, M. A. Moyeen +2
High-quality bilingual resources remain a critical bottleneck for advancing multilingual NLP in low-resource settings, particularly for Bangla. To mitigate this gap, we introduce B…
Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound
Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2
Joint lesion segmentation and tissue classification in breast ultrasound are usually trained with a shared encoder, so the two branches stop exchanging information once their decod…
Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset
Rowzatul Zannat, Abdullah Al Shafi, Abdul Muntakim
Increased access to reliable health information is essential for non-English-speaking populations, yet resources in Bangla for disease prediction remain limited. This study address…