A. F. M. Shahab Uddin

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin et al. · arXiv (Cornell University) · 2020 · 92 citations · Full text

Regional Dropout, Convolutional Neural Network, Engineering +18

Binary-Classifiers-Enabled Filters for Semi-Supervised Learning

Teerath Kumar, Jin‐Bae Park, Muhammad Salman Ali et al. · IEEE Access · 2021 · 34 citations · Full text

Engineering, Machine Learning, Text Mining +16

Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration

Md. Mehedi Hasan, Touficur Rahman, A. F. M. Shahab Uddin et al. · Agriculture · 2023 · 26 citations · Full text

Convolutional Neural Network, Precision Agriculture, Engineering +22

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation

Youmin Kim, A. F. M. Shahab Uddin, Sung‐Ho Bae · IEEE Access · 2021 · 20 citations · Full text

Data Augmentation, Convolutional Neural Network, Machine Vision +15

A Perceptually Inspired New Blind Image Denoising Method Using $L_{1}$ and Perceptual Loss

A. F. M. Shahab Uddin, TaeChoong Chung, Sung‐Ho Bae · IEEE Access · 2019 · 13 citations · Full text

Deblurring, Image Analysis, Machine Learning +13