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20232026
most citedUncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

15 citations · 19 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models

Mazharul Islam Rakib, Showrin Rahman, Joyanta Jyoti Mondal +4

In today's age of social media and marketing, copyright issues can be a major roadblock to the free sharing of images. Generative AI models have made it possible to create high-qua…

cs.CV2024

Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia

Ibne Hassan, Aman Mujahid, Abdullah Al Hasib +4

Countries in South Asia experience many catastrophic flooding events regularly. Through image classification, it is possible to expedite search and rescue initiatives by classifyin…

cs.CV2024

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search

Md. Farhadul Islam, Md. Tanzim Reza, Meem Arafat Manab +3

Spatial optimization is often overlooked in many computer vision tasks. Filters should be able to recognize the features of an object regardless of where it is in the image. Simila…

cs.CV2024

Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder

Md. Farhadul Islam, Meem Arafat Manab, Joyanta Jyoti Mondal +5

Autism Spectrum Disorder (ASD) is a complicated neurological condition which is challenging to diagnose. Numerous studies demonstrate that children diagnosed with autism struggle w…

cs.CV2023★ 4 cited

Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm

S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab +2

The susceptibility of deep neural networks (DNNs) to adversarial attacks undermines their reliability across numerous applications, underscoring the necessity for an in-depth explo…

cs.CV2023★ 15 cited

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

Joyanta Jyoti Mondal, Md. Farhadul Islam, Raima Islam +5

The prevalence and mobility of smartphones make these a widely used tool for environmental health research. However, their potential for determining aggregated air quality index (A…