Rana Hammad Raza

According to our database, Rana Hammad Raza authored at least 19 papers between 2016 and 2024.

Collaborative distances:

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

2024

Edge-Enhanced TempoFuseNet: A Two-Stream Framework for Intelligent Multiclass Video Anomaly Recognition in 5G and IoT Environments.

Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza, Fan Zhang

Future Internet, March, 2024

A robust deep networks based multi-object multi-camera tracking system for city scale traffic.

Muhammad Imran Zaman, Usama Ijaz Bajwa, Gulshan Saleem, Rana Hammad Raza

Multim. Tools Appl., February, 2024

Degradation model and attention guided distillation approach for low resolution face recognition.

Mohsin Ullah, Imtiaz Ahmad Taj, Rana Hammad Raza

Expert Syst. Appl., 2024

Leveraging coverless image steganography to hide secret information by generating anime characters using GAN.

Hafiz Abdul Rehman, Usama Ijaz Bajwa, Rana Hammad Raza, Sultan Alfarhood, Mejdl S. Safran, Fan Zhang

Expert Syst. Appl., 2024

2023

Multi-camera person re-identification using spatiotemporal context modeling.

Fatima Zulfiqar, Usama Ijaz Bajwa, Rana Hammad Raza

Neural Comput. Appl., September, 2023

Toward human activity recognition: a survey.

Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza

Neural Comput. Appl., February, 2023

2022

Efficient anomaly recognition using surveillance videos.

Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza, Fayez Hussain Alqahtani, Amr Tolba, Feng Xia

PeerJ Comput. Sci., 2022

A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning.

Muhammad Umair Arif, Muhammad Umar Farooq, Rana Hammad Raza, Zain Ul Abideen Lodhi, Muhammad Abdur Rehman Hashmi

IEEE Access, 2022

2021

Anomaly recognition from surveillance videos using 3D convolution neural network.

Ramna Maqsood, Usama Ijaz Bajwa, Gulshan Saleem, Rana Hammad Raza, Muhammad Waqas Anwar

Multim. Tools Appl., 2021

Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks.

Ramna Maqsood, UI. Bajwa, Gulshan Saleem, Rana Hammad Raza, MW. Anwar

CoRR, 2021

Fine-Grained Vehicle Classification in Urban Traffic Scenes Using Deep Learning.

Syeda Aneeba Najeeb, Rana Hammad Raza, Adeel Yusuf, Zamra Sultan

Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, 2021

Performance Comparison of Deep Residual Networks-Based Super Resolution Algorithms Using Thermal Images: Case Study of Crowd Counting.

Syed Zeeshan Rizvi, Muhammad Umar Farooq, Rana Hammad Raza

Proceedings of the Digital Interaction and Machine Intelligence - Proceedings of MIDI'2021, 2021

2020

Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment.

Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad, Rana Hammad Raza

Proceedings of the Digital Interaction and Machine Intelligence - Proceedings of MIDI'2020, 2020

2017

Adaptive stochastic segmentation via energy-convergence for brain tumor in MR images.

Lubna Farhi, Adeel Yusuf, Rana Hammad Raza

J. Vis. Commun. Image Represent., 2017

Performance Evaluation of Advanced Deep Learning Architectures for Offline Handwritten Character Recognition.

Moazam Soomro, Muhammad Ali Farooq, Rana Hammad Raza

Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017

Evaluating Effect of Block Size in Compressed Sensing for Grayscale Images.

Muhammad Abdur Rehman Hashmi, Rana Hammad Raza

Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017

2016

Landmark Based Audio Fingerprinting for Naval Vessels.

Muhammad Abdur Rehman Hashmi, Rana Hammad Raza

Proceedings of the International Conference on Frontiers of Information Technology, 2016

Detection & Classification of Vehicles in Varying Complexity of Urban Traffic Scenes.

Muhammad Umair Arif, Zain ul Aabidin Lodhi, Maheen Khan, Rana Hammad Raza

Proceedings of the Video Surveillance and Transportation Imaging Applications 2016, 2016

Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers.

Muhammad Ali Farooq, Muhammad Aatif Mobeen Azhar, Rana Hammad Raza

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016