8 papers
DeCoDrift: Stabilizing Decoder Coupling in Closed-Loop Foundation Segmentation
H. M. Shadman Tabib, Md. Shamsuzzoha Bayzid, M Sohel Rahman
Foundation segmentation models such as Segment Anything Model (SAM) are now routinely used in iterative pipelines, where each predicted mask is fed back as the next prompt. This pr…
Spectral Forensics of Diffusion Attention Graphs for Copy-Move Forgery Detection
H. M. Shadman Tabib, Tasriad Ahmed Tias, Nafis Tahmid
Copy-move forgery, where a region within an image is duplicated to hide or fabricate content, remains a persistent threat to visual media integrity. We introduce GraphSpecForge, a…
Bengali-Loop: Community Benchmarks for Long-Form Bangla ASR and Speaker Diarization
H. M. Shadman Tabib, Istiak Ahmmed Rifti, Abdullah Muhammed Amimul Ehsan +24
Bengali (Bangla) remains under-resourced in long-form speech technology despite its wide use. We present Bengali-Loop, two community benchmarks to address this gap: (1) a long-form…
Toward Trustworthy Difficulty Assessments: Large Language Models as Judges in Programming and Synthetic Tasks
H. M. Shadman Tabib, Jaber Ahmed Deedar
Large Language Models (LLMs) have demonstrated impressive capabilities in natural language and code generation, and are increasingly deployed as automatic judges of model outputs a…
Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification
HM Shadman Tabib, Md. Hasnaen Adil, Ayesha Rahman +4
Access to clinical multi-channel EEG remains limited in many regions worldwide. We present NEUROSKY-EPI, the first open dataset of single-channel, consumer-grade EEG for epilepsy,…
Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network
H. M. Shadman Tabib, Jaber Ahmed Deedar, K. M. Ariful Kabir
This study presents an integrated approach to understanding epidemic dynamics through a stochastic spatio-temporal simulation model on a multiplex network, blending physical and in…