most citedAutoEmbedder: A semi-supervised DNN embedding system for clustering

49 citations · 82 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL20212 cited

Challenges and Opportunities of Speech Recognition for Bengali Language

M. F. Mridha, Abu Quwsar Ohi, Md. Abdul Hamid +1

Speech recognition is a fascinating process that offers the opportunity to interact and command the machine in the field of human-computer interactions. Speech recognition is a lan…

cs.CV2021

End-to-End Optical Character Recognition for Bengali Handwritten Words

Farisa Benta Safir, Abu Quwsar Ohi, M. F. Mridha +2

Optical character recognition (OCR) is a process of converting analogue documents into digital using document images. Currently, many commercial and non-commercial OCR systems exis…

cs.SD2021

U-vectors: Generating clusterable speaker embedding from unlabeled data

M. F. Mridha, Abu Quwsar Ohi, Muhammad Mostafa Monowar +3

Speaker recognition deals with recognizing speakers by their speech. Most speaker recognition systems are built upon two stages, the first stage extracts low dimensional correlatio…

cs.CV202127 cited

FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets

Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid +2

Fabric is a planar material composed of textile fibers. Textile fibers are generated from many natural sources; including plants, animals, minerals, and even, it can be synthetic.…

cs.CV20213 cited

An Evolution of CNN Object Classifiers on Low-Resolution Images

Md. Mohsin Kabir, Abu Quwsar Ohi, Md. Saifur Rahman +1

Object classification is a significant task in computer vision. It has become an effective research area as an important aspect of image processing and the building block of image…

cs.CV20201 cited

A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network

Muhammad Mohsin Kabir, Abu Quwsar Ohi, M. F. Mridha

A disease that limits a plant from its maximal capacity is defined as plant disease. From the perspective of agriculture, diagnosing plant disease is crucial, as diseases often lim…