Muhammad Umer Ramzan

According to our database, Muhammad Umer Ramzan authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

Geometry-Aware Semantic Reasoning for Training Free Video Anomaly Detection.

Ali Zia, Usman Ali, Muhammad Umer Ramzan, Hamza Abid, Abdul Rehman, Wei Xiang

CoRR, March, 2026

Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion.

Ali Zia, Muhammad Umer Ramzan, Usman Ali, Muhammad Faheem, Abdelwahed Khamis, Shahnawaz Qureshi

CoRR, March, 2026

Test-Time Adaptation for Anomaly Segmentation via Topology-Aware Optimal Transport Chaining.

Ali Zia, Usman Ali, Muhammad Umer Ramzan, Abdul Rehman, Abdelwahed Khamis, Wei Xiang

CoRR, January, 2026

2025

2D_3D Feature Fusion via Cross-Modal Latent Synthesis and Attention Guided Restoration for Industrial Anomaly Detection.

Usman Ali, Ali Zia, Abdul Rehman, Muhammad Umer Ramzan, Zohaib Hassan, Talha Sattar, Jing Wang, Wei Xiang

CoRR, October, 2025

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors.

Usman Ali, Ali Zia, Waqas Ali, Muhammad Umer Ramzan, Abdul Rehman, Muhammad Tayyab Chaudhry, Wei Xiang

CoRR, October, 2025

An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning.

Usman Ali, Muhammad Umer Ramzan, Waqas Ali, Khaled Al Jaafari

IEEE Access, 2025

Split-Fuse-Transport: Annotation-Free Saliency via Dual Clustering and Optimal Transport Alignment.

Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis, Noman Ali, Usman Ali, Wei Xiang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2D-3D Feature Fusion via Cross-Modal Latent Synthesis and Attention-Guided Restoration for Industrial Anomaly Detection.

Usman Ali, Ali Zia, Abdul Rehman, Muhammad Umer Ramzan, Zohaib Hassan, Talha Sattar, Jing Wang, Wei Xiang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2024

An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning.

Usman Ali, Waqas Ali, Muhammad Umer Ramzan

CoRR, 2024

Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions.

Usman Ali, Sahil Ranmbail, Muhammad Nadeem, Hamid Ishfaq, Muhammad Umer Ramzan, Waqas Ali

CoRR, 2024

Gated-Attention Feature-Fusion Based Framework for Poverty Prediction.

Muhammad Umer Ramzan, Wahab Khaddim, Muhammad Ehsan Rana, Usman Ali, Manohar Ali, Fiaz ul Hassan, Fatima Mehmood

CoRR, 2024

Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement.

Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis, Ayman Elgharabawy, Ahmad Liaqat, Usman Ali

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

2023

Enhancing Vehicle Entrance and Parking Management: Deep Learning Solutions for Efficiency and Security.

Muhammad Umer Ramzan, Usman Ali, Syed Haider Abbas Naqvi, Zeeshan Aslam, Tehseen, Husnain Ali, Muhammad Faheem

CoRR, 2023

2021

"We Even Borrowed Money From Our Neighbor": Understanding Mobile-based Frauds Through Victims' Experiences.

Lubna Razaq, Tallal Ahmad, Samia Ibtasam, Muhammad Umer Ramzan, Shrirang Mare

Proc. ACM Hum. Comput. Interact., 2021

2019

An assessment of SMS fraud in Pakistan.

Fahad Pervaiz, Rai Shah Nawaz, Muhammad Umer Ramzan, Maryem Zafar Usmani, Shrirang Mare, Kurtis Heimerl, Faisal Kamiran, Richard Anderson, Lubna Razaq

Proceedings of the Conference on Computing & Sustainable Societies, 2019