1 code implementation • 11 May 2023 • Nazmuddoha Ansary, Quazi Adibur Rahman Adib, Tahsin Reasat, Sazia Mehnaz, Asif Shahriyar Sushmit, Ahmed Imtiaz Humayun, Mohammad Mamun Or Rashid, Farig Sadeque
This paper proposes two libraries to address common and uncommon issues with Unicode-based writing schemes for Indic languages.
1 code implementation • 9 Mar 2023 • Md. Istiak Hossain Shihab, Md. Rakibul Hasan, Mahfuzur Rahman Emon, Syed Mobassir Hossen, MD. Nazmuddoha Ansary, Intesur Ahmed, Fazle Rabbi Rakib, Shahriar Elahi Dhruvo, Souhardya Saha Dip, Akib Hasan Pavel, Marsia Haque Meghla, Md. Rezwanul Haque, Sayma Sultana Chowdhury, Farig Sadeque, Tahsin Reasat, Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit
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Layout Analysis (DLA) datasets has hindered the application of OCR in document transcription, e. g., transcribing historical documents and newspapers.
no code implementations • SemEval (NAACL) 2022 • Nazia Tasnim, Md. Istiak Hossain Shihab, Asif Shahriyar Sushmit, Steven Bethard, Farig Sadeque
Many areas, such as the biological and healthcare domain, artistic works, and organization names, have nested, overlapping, discontinuous entity mentions that may even be syntactically or semantically ambiguous in practice.
2 code implementations • 1 Oct 2020 • Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun
We propose a labeling scheme based on graphemes (linguistic segments of word formation) that makes segmentation in-side alpha-syllabary words linear and present the first dataset of Bengali handwritten graphemes that are commonly used in an everyday context.
no code implementations • 19 Aug 2020 • Asif Shahriyar Sushmit, Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid, Ahsan Habib Akash, Taufiq Hasan
In comparison to a single-stream network, the proposed two-stream method achieves an absolute improvement of $14. 366\%$ and $10. 324\%$ for averaged F1 score and accuracy, respectively, when average results are compared for three different frame sizes $224\times224$, $112\times112$, and $64\times64$.
no code implementations • 11 Jun 2020 • Partho Ghosh, Md. Abrar Istiak, Nayeeb Rashid, Ahsan Habib Akash, Ridwan Abrar, Ankan Ghosh Dastider, Asif Shahriyar Sushmit, Taufiq Hasan
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 in life-logging, law-enforcement, sports, workplace, and healthcare.
no code implementations • 28 Apr 2019 • Asif Shahriyar Sushmit, Shakib Uz Zaman, Ahmed Imtiaz Humayun, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan
To the best of our knowledge, this is the first reported evaluation on using a deep convolutional RNN for medical image compression.
1 code implementation • 23 Apr 2019 • Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan
The experimental results demonstrate the superiority of the proposed network compared to the best existing method, providing a relative improvement in epoch-wise average accuracy of 6. 8% and 6. 3% on the household data and multi-source data, respectively.