11 citations · 16 across the 5 of their papers we have counts for
5 papers
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference
Ayman Beghdadi, Azeddine Beghdadi, Mohib Ullah +2
Scene understanding plays an important role in several high-level computer vision applications, such as autonomous vehicles, intelligent video surveillance, or robotics. However, t…
Deep Learning for Multi-Label Learning: A Comprehensive Survey
Adane Nega Tarekegn, Mohib Ullah, Faouzi Alaya Cheikh
Multi-label learning is a rapidly growing research area that aims to predict multiple labels from a single input data point. In the era of big data, tasks involving multi-label cla…
Kalman Filter Based Multiple Person Head Tracking
Mohib Ullah, Maqsood Mahmud, Habib Ullah +3
For multi-target tracking, target representation plays a crucial rule in performance. State-of-the-art approaches rely on the deep learning-based visual representation that gives a…
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences
Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah +4
In this paper we present our methods for the MediaEval 2019 Mul-timedia Satellite Task, which is aiming to extract complementaryinformation associated with adverse events from Soci…
A deep learning approach for analyzing the composition of chemometric data
Muhammad Bilal, Mohib Ullah
We propose novel deep learning based chemometric data analysis technique. We trained L2 regularized sparse autoencoder end-to-end for reducing the size of the feature vector to han…