Muhammad Adeel Hafeez

According to our database, Muhammad Adeel Hafeez authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions.

Muhammad Adeel Hafeez, Ganesh Sistu, Michael G. Madden, Ihsan Ullah

Signal Image Video Process., November, 2025

A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss.

Muhammad Asad, Ihsan Ullah, Muhammad Adeel Hafeez, Ganesh Sistu, Michael G. Madden

IEEE Access, 2025

2024

EEG-based stress identification and classification using deep learning.

Muhammad Adeel Hafeez, Sadia Shakil

Multim. Tools Appl., April, 2024

Depth Estimation Using Weighted-Loss and Transfer Learning.

Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Unsupervised End-to-End Transformer based approach for Video Anomaly Detection.

Muhammad Adeel Hafeez, Sajid Javed, Michael G. Madden, Ihsan Ullah

Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

2022

rs-fMRI Analysis Using Spatio-Temporal Sparse Convolutional Neural Networks.

Fatma Müberra Yener, Sultan Yildiz, Muhammad Adeel Hafeez, Cihan Bilge Kayasandik, Merve Yüsra Dogan

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Brain Tumor Classification Using MRI Images and Convolutional Neural Networks.

Muhammad Adeel Hafeez, Cihan Bilge Kayasandik, Merve Yüsra Dogan

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022