4 citations · 12 across the 9 of their papers we have counts for
9 papers
MedDiffuseMix: Preserving Diagnostic Evidence with Saliency-Aware Diffusion Medical Image Data Augmentation
Teerath Kumar, Raja Vavekanand, Muhammad Turab
Limited data availability, class imbalance, and domain variability remain major barriers to reliable medical image classification. Conventional augmentation can improve training di…
Dance Style Recognition Using Laban Movement Analysis
Muhammad Turab, Philippe Colantoni, Damien Muselet +1
The growing interest in automated movement analysis has presented new challenges in recognition of complex human activities including dance. This study focuses on dance style recog…
Emotion Recognition in Contemporary Dance Performances Using Laban Movement Analysis
Muhammad Turab, Philippe Colantoni, Damien Muselet +1
This paper presents a novel framework for emotion recognition in contemporary dance by improving existing Laban Movement Analysis (LMA) feature descriptors and introducing robust,…
A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement
Muhammad Turab
The usage of digital content (photos and videos) in a variety of applications has increased due to the popularity of multimedia devices. These uses include advertising campaigns, e…
AudRandAug: Random Image Augmentations for Audio Classification
Teerath Kumar, Muhammad Turab, Alessandra Mileo +2
Data augmentation has proven to be effective in training neural networks. Recently, a method called RandAug was proposed, randomly selecting data augmentation techniques from a pre…
Go Together: Bridging the Gap between Learners and Teachers
Asim Irfan, Atif Nawaz, Muhammad Turab +5
After the pandemic, humanity has been facing different types of challenges. Social relationships, societal values, and academic and professional behavior have been hit the most. Pe…
Advanced Audio Aid for Blind People
Savera Sarwar, Muhammad Turab, Danish Channa +3
One of the most important senses in human life is vision, without it life is totally filled with darkness. According to WHO globally millions of people are visually impaired estima…
Data Dimension Reduction makes ML Algorithms efficient
Wisal Khan, Muhammad Turab, Waqas Ahmad +3
Data dimension reduction (DDR) is all about mapping data from high dimensions to low dimensions, various techniques of DDR are being used for image dimension reduction like Random…
Investigating Multi-Feature Selection and Ensembling for Audio Classification
Muhammad Turab, Teerath Kumar, Malika Bendechache +1
Deep Learning (DL) algorithms have shown impressive performance in diverse domains. Among them, audio has attracted many researchers over the last couple of decades due to some int…