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

15 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

AAMBERS-UAV: Acquisition-Aware Multimodal Backbone Evaluation and Ranking for UAV Weedy Rice Segmentation

Tarek Rahman, Nazim-E-Alam, Md Kishor Morol +1

UAV image collections contain spatially and temporally related frames, yet semantic-segmentation benchmarks commonly split them at image level. Such splitting can place samples fro…

cs.CV2026

Supersampling Stable Diffusion and Beyond: Training-Free Neural Network Scaling via Signal Interpolation

Md Abu Obaida Zishan, Jannatun Noor, Annajiat Alim Rasel

This work presents a training-free approach for interpolating neural networks using signal interpolation methods (i.e., linear, bilinear, bicubic). We discovered this phenomenon wh…

cs.CV2025

A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset

Antara Firoz Parsa, S. M. Abdullah, Anika Hasan Talukder +4

The study involves a comprehensive performance analysis of popular classification and segmentation models, applied over a Bangladeshi pothole dataset, being developed by the author…

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…

eess.IV2024

Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation

Md. Farhadul Islam, Sarah Zabeen, Meem Arafat Manab +7

The majority of medical images, especially those that resemble cells, have similar characteristics. These images, which occur in a variety of shapes, often show abnormalities in th…

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★ 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…

cs.DC2023

Sherlock in OSS: A Novel Approach of Content-Based Searching in Object Storage System

Jannatun Noor, Rizwanul Haque Ratul, Mir Rownak Ali Uday +3

Object Storage Systems (OSS) inside a cloud promise scalability, durability, availability, and concurrency. However, open-source OSS does not have a specific approach to letting us…