| Automatic lesion detection system (ALDS) for skin cancer classification using SVM and neural classifiers MA Farooq, MAM Azhar, RH Raza 2016 IEEE 16th international conference on bioinformatics and bioengineering …, 2016 | 79 | 2016 |
| Toward human activity recognition: a survey G Saleem, UI Bajwa, RH Raza Neural Computing and Applications 35 (5), 4145-4182, 2023 | 60 | 2023 |
| Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks R Maqsood, UI Bajwa, G Saleem, RH Raza, MW Anwar Multimedia Tools and Applications (2021), https://link.springer.com/article …, 2021 | 60 | 2021 |
| Adaptive stochastic segmentation via energy-convergence for brain tumor in MR images L Farhi, A Yusuf, RH Raza Journal of Visual Communication and Image Representation 46, 303-311, 2017 | 33 | 2017 |
| Performance evaluation of advanced deep learning architectures for offline handwritten character recognition M Soomro, MA Farooq, RH Raza 2017 International Conference on Frontiers of Information Technology (FIT …, 2017 | 22 | 2017 |
| Efficient Video-based Vehicle Queue Length Estimation using Computer Vision and Deep Learning for an Urban Traffic Scenario. Processes 2021, 9, 1786 M Umair, MU Farooq, RH Raza, Q Chen, B Abdulhai Processes 2021 9 (10), 1786, 2021 | 21 | 2021 |
| Printed circuit board identification using deep convolutional neural networks to facilitate recycling IA Soomro, A Ahmad, RH Raza Resources, Conservation and Recycling 177, 105963, 2022 | 16 | 2022 |
| Comparative analysis of vehicle detection in urban traffic environment using Haar cascaded classifiers and blob statistics Y Hasan, MU Arif, A Asif, RH Raza 2016 Future Technologies Conference (FTC), 547-552, 2016 | 12 | 2016 |
| Three dimensional localization and tracking for site safety using fusion of computer vision and RFID RH Raza Michigan State University, 2013 | 9 | 2013 |
| Potential of SIFT, SURF, KAZE, AKAZE, ORB, BRISK, AGAST, and 7 More Algorithms for Matching Extremely Variant Image Pairs SAK Tareen, RH Raza 4th International Conference on Computing, Mathematics & Engineering …, 2023 | 8 | 2023 |
| A Comprehensive Review of Vehicle Detection Techniques Under Varying Moving Cast Shadow Conditions Using Computer Vision and Deep Learning MU Arif, MU Farooq, RH Raza, ZUA Lodhi, MAR Hashmi IEEE Access 10, 104863-104886, 2022 | 8 | 2022 |
| Effectiveness of state-of-the-art super resolution algorithms in surveillance environment MA Farooq, AA Khan, A Ahmad, RH Raza Conference on multimedia, interaction, design and innovation, 79-88, 2020 | 8 | 2020 |
| Fire and smoke detection using capsule network RA Khan, A Hussain, UI Bajwa, RH Raza, MW Anwar Fire Technology 59 (2), 581-594, 2023 | 7 | 2023 |
| Novel DEMON Spectra Analysis Techniques and Empirical Knowledge Based Reference Criterion for Acoustic Signal Classification MAR Hashmi, RH Raza Journal of Electrical Engineering and Technology, 2022 | 6 | 2022 |
| Efficient anomaly recognition using surveillance videos G Saleem, UI Bajwa, RH Raza, FH Alqahtani, A Tolba, F Xia PeerJ Computer Science 8, e1117, 2022 | 5 | 2022 |
| A robust deep networks based multi-object multi-camera tracking system for city scale traffic MI Zaman, UI Bajwa, G Saleem, RH Raza Multimedia Tools and Applications, https://link.springer.com/article/10.100, 2023 | 4 | 2023 |
| Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning SA Najeeb, RH Raza, A Yusuf, Z Sultan Proceedings of the 11th International Conference on Robotics, Vision, Signal …, 2022 | 4 | 2022 |
| Digital Interaction and Machine Intelligence C Biele, J Kacprzyk, W Kopeć, JW Owsiński, A Romanowski, M Sikorski Springer International Publishing, 2021 | 3 | 2021 |
| Quantifying the causal interactions in the brain using a measure of directed transinformation RH Raza, S Aviyente 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 3 | 2008 |
| Surveilia: Anomaly Identification Using Temporally Localized Surveillance Videos G Saleem, UI Bajwa, RH Raza Available at SSRN 4308311, 2022 | 2 | 2022 |
Dr. Usama Ijaz BajwaTenured Associate Professor, COMSATS University Islamabad, Lahore Campus在 cuilahore.edu.pk 的电子邮件经过验证
