Mahdi Maktab Dar Oghaz

According to our database, Mahdi Maktab Dar Oghaz authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Data Driven Model to Investigate Political Bias in Mainstream Media.

Eric Ness, Arooj Fatima, Mahdi Maktab Dar Oghaz

IEEE Access, 2023

2022

Enhanced Single Shot Small Object Detector for Aerial Imagery Using Super-Resolution, Feature Fusion and Deconvolution.

Mahdi Maktab Dar Oghaz, Manzoor Razaak, Paolo Remagnino

Sensors, 2022

2021

Use Case Prediction Using Deep Learning.

Tinashe Wamambo, Cristina Luca, Arooj Fatima, Mahdi Maktab Dar Oghaz

Proceedings of the Intelligent Systems and Applications, 2021

2019

An optimized skin texture model using gray-level co-occurrence matrix.

Mahdi Maktab Dar Oghaz, Mohd Aizaini Maarof, Mohd. Foad Rohani, Anazida Zainal, Syed Zainudeen Mohd Shaid

Neural Comput. Appl., 2019

Content-aware Density Map for Crowd Counting and Density Estimation.

Mahdi Maktab Dar Oghaz, Anish R. Khadka, Vasileios Argyriou, Paolo Remagnino

CoRR, 2019

Features Extraction based on an Origami Representation of 3D Landmarks.

Juan Manuel Fernandez Montenegro, Mahdi Maktab Dar Oghaz, Athanasios Gkelias, Georgios Tzimiropoulos, Vasileios Argyriou

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

A Comparison of Embedded Deep Learning Methods for Person Detection.

Chloe Eunhyang Kim, Mahdi Maktab Dar Oghaz, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Skin Identification Using Deep Convolutional Neural Network.

Mahdi Maktab Dar Oghaz, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino

Proceedings of the Advances in Visual Computing, 2019

Scene and Environment Monitoring Using Aerial Imagery and Deep Learning.

Mahdi Maktab Dar Oghaz, Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Learning how to analyse crowd behaviour using synthetic data.

Anish R. Khadka, Mahdi Maktab Dar Oghaz, W. Matta, M. Cosentino, Paolo Remagnino, Vasileios Argyriou

Proceedings of the 32nd International Conference on Computer Animation and Social Agents, 2019