activity
20192025
most citedA Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

15 citations · 30 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CL2025

RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects

Md. Rezuwan Hassan, Azmol Hossain, Kanij Fatema +13

The Bengali language, spoken extensively across South Asia and among diasporic communities, exhibits considerable dialectal diversity shaped by geography, culture, and history. Pho…

cs.HC2023

Bornil: An open-source sign language data crowdsourcing platform for AI enabled dialect-agnostic communication

Shahriar Elahi Dhruvo, Mohammad Akhlaqur Rahman, Manash Kumar Mandal +14

The absence of annotated sign language datasets has hindered the development of sign language recognition and translation technologies. In this paper, we introduce Bornil; a crowds…

cs.CV2023★ 2 cited

bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali Documents

Imam Mohammad Zulkarnain, Shayekh Bin Islam, Md. Zami Al Zunaed Farabe +9

Despite the existence of numerous Optical Character Recognition (OCR) tools, the lack of comprehensive open-source systems hampers the progress of document digitization in various…

cs.CL2023★ 2 cited

Unicode Normalization and Grapheme Parsing of Indic Languages

Nazmuddoha Ansary, Quazi Adibur Rahman Adib, Tahsin Reasat +6

Writing systems of Indic languages have orthographic syllables, also known as complex graphemes, as unique horizontal units. A prominent feature of these languages is these complex…

eess.AS2023

OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking

Fazle Rabbi Rakib, Souhardya Saha Dip, Samiul Alam +11

We present OOD-Speech, the first out-of-distribution (OOD) benchmarking dataset for Bengali automatic speech recognition (ASR). Being one of the most spoken languages globally, Ben…

cs.CV2023★ 1 cited

BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset

Md. Istiak Hossain Shihab, Md. Rakibul Hasan, Mahfuzur Rahman Emon +14

While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has…

cs.CL2022★ 10 cited

Bengali Common Voice Speech Dataset for Automatic Speech Recognition

Samiul Alam, Asif Sushmit, Zaowad Abdullah +6

Bengali is one of the most spoken languages in the world with over 300 million speakers globally. Despite its popularity, research into the development of Bengali speech recognitio…

cs.CL2022

TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla

Nazia Tasnim, Md. Istiak Hossain Shihab, Asif Shahriyar Sushmit +2

Many areas, such as the biological and healthcare domain, artistic works, and organization names, have nested, overlapping, discontinuous entity mentions that may even be syntactic…

cs.CV2020★ 15 cited

A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit +4

Latin has historically led the state-of-the-art in handwritten optical character recognition (OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is pa…

cs.CV2020

SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras

Asif Shahriyar Sushmit, Partho Ghosh, Md. Abrar Istiak +3

Activity detection from first-person videos (FPV) captured using a wearable camera is an active research field with potential applications in many sectors, including healthcare, la…

cs.CV2020

Privacy-Aware Activity Classification from First Person Office Videos

Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid +5

In the advent of wearable body-cameras, human activity classification from First-Person Videos (FPV) has become a topic of increasing importance for various applications, including…

cs.CV2019

X-Ray Image Compression Using Convolutional Recurrent Neural Networks

Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun +2

In the advent of a digital health revolution, vast amounts of clinical data are being generated, stored and processed on a daily basis. This has made the storage and retrieval of l…

cs.LG2019

End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets

Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan +1

Humans approximately spend a third of their life sleeping, which makes monitoring sleep an integral part of well-being. In this paper, a 34-layer deep residual ConvNet architecture…