Md. Mehedi Hasan

Comparative evaluation of classical and machine learning methods for medical image enhancement

Md. Mehedi Hasan, Sujon Chandra Sutradhar, Zannatul Ferdushie, Rabeya Basri

MachDep-PhysX: a survey dataset on automation dependency and physical fitness decline among university students

Md Fahim Ferdous, Fardia Akter Omi, Md. Mehedi Hasan

This dataset contains responses from a structured questionnaire-based survey designed to investigate the relationship between automation/technology dependency and physical fitness decline among university undergraduate students in Bangladesh. The survey was administered as a bili…Read more

AffectFuse: Cross-Task Feature Fusion with Temporal Modeling for Multi-Task Affective Behavior Analysis

Dipit Saha, Mohammad Raihan Rashid, Shah Mohammad Abdul Mannan, Ahnaf Tahmid, Md. Mehedi Hasan

Affective behavior recognition in the wild requires joint prediction of continuous valence-arousal, categorical facial expression, and multi-label action units from unconstrained face images. We present our system for the Multi-Task Learning (MTL) track of the 11th Affective Beha…Read more

Computer Vision in the Deep Learning Era: A Survey of Architectures, Datasets, and Applications

Md. Mehedi Hasan

In the deep learning era, computer vision has advanced quickly, radically changing how machines interpret and evaluate visual data. Data-driven deep neural networks that can immediately learn complicated representations from images have essentially replaced traditional computer v…Read more