School of Electrical Engineering & Computer Science

Machine Vision & Intelligent Systems

The Machine Vision & Intelligent Systems Lab at NUST

A multidisciplinary research group performing basic and applied research in computer vision, data science, and related areas of AI & machine learning.

Vision

To become a center for collaborative research and technology innovation in applied Artificial Intelligence for human sustainability, focusing on nurturing young talent for capacity building to develop knowledge-based economy in Pakistan

Mission

Driving research and technology innovation to develop cutting-edge AI algorithms for solving indigenous problems and their productization to support socio-economic development of Pakistan

Our Team

Meet Our Research Team

 


Dr. Muhammad Moazam Fraz
Research Group Lead
Dr. Zuhair Zafar
Research Group Co-Lead

Research

  • B. Khan, A. Mumtaz, Z. Zafar, M. Sedkey, E. Benkhelifa, M. M. Fraz, “CGA-Net: channel-wise gated attention network for improved super-resolution in remote sensing imagery.” Machine Vision and Applications 34.6 (2023): 128. https://doi.org/10.1007/s00138-023-01477-0 2023
  • M. A. Nawshad, A. Saadat, M. M. Fraz, “Boosting facial recognition capability for faces wearing masks using attention augmented residual model with quadruplet loss.” Machine Vision and Applications 34.6 (2023): 108. https://doi.org/10.1007/s00138-023-01461-8 2023
  • H. Soltani, M. Amroune, I. Bendib, M. Y. Haouam, E. Benkhelifa, M. M. Fraz. “Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning.” Multimedia Tools and Applications (2023): 1-18. https://doi.org/10.1007/s11042-023-16895-5 2023
  • A. Parvaiz, M. A. Khalid, R. Zafar, H. Ameer, M. Ali, M. M. Fraz, “Vision Transformers in medical computer vision—A contemplative retrospection”, Engineering Applications of Artificial Intelligence, Volume 122, 2023, 106126, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2023.106126. 2023
  • N. Perwaiz, M. Shahzad, M. M. Fraz. “TransPose Re-ID: transformers for pose invariant person Re-identification.” Journal of Experimental & Theoretical Artificial Intelligence (2023): 1-14. https://doi.org/10.1080/0952813X.2023.2214570 2023
  • A. Zahra, N. Perwaiz, M. Shahzad, M. M. Fraz. “Person re-identification: A retrospective on domain specific open challenges and future trends”, Pattern Recognition, Volume 142, 2023, 109669, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2023.109669. 2023
  • S. N. Rashid, M. M. Fraz, “Nuclei probability and centroid map network for nuclei instance segmentation in histology images.” Neural Computing and Applications 35.21 (2023). https://doi.org/10.1007/s00521-023-08503-2 2023
  • S. K. J. Rizvi, M. M. Fraz. “Robust malware clustering of windows portable executables using ensemble latent representation and distribution modeling.” Concurrency and Computation: Practice and Experience 35.8 (2023): e7621. https://doi.org/10.1002/cpe.7621 2023
  • N. Perwaiz, M. Shahzad, M. M. Fraz. “Ubiquitous vision of transformers for person re-identification”. Machine Vision and Applications 34, 27 (2023). https://doi.org/10.1007/s00138-023-01376-4 2023
  • R Hassan, MM Fraz, A Rajput, M Shahzad. “Residual Learning with Annularly Convolutional Neural Networks for Classification and Segmentation of 3D Point Clouds”. Neurocomputing. https://doi.org/10.1016/j.neucom.2023.01.026 2023
  • G. M. Dogar, M. Shahzad, M. M. Fraz (2023). “Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images”. Biomedical Signal Processing and Control, 79, 104199. https://doi.org/10.1016/j.bspc.2022.104199 2023
  • E. S. Nasir, A. Parvaiz, and M. M. Fraz. “Nuclei and glands instance segmentation in histology images: a narrative review.” Artificial Intelligence Review 56.8 (2023): 7909-7964. https://doi.org/10.1007/s10462-022-10372-5 2023
  • N. Pervaiz, M. M. Fraz & M. Shahzad. Smart surveillance with simultaneous person detection and re-identification. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-13458-y 2022
  • N. Pervaiz, M. M. Fraz & M. Shahzad. Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping. Vis Comput (2022). https://doi.org/10.1007/s00371-022-02577-0 2022
  • S. S. Ali Zaidi, M. M. Fraz, M. Shahzad, & S. Khan (2022). A multiapproach generalized framework for automated solution suggestion of support tickets. International Journal of Intelligent Systems, 37(6), 3654-3681. https://doi.org/10.1002/int.22701 2022
  • S.A. Badawi, M. M. Fraz, M. Shehzad, et al. Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio. J Digit Imaging 35, 281–301 (2022). https://doi.org/10.1007/s10278-021-00545-z 2022
  • S.K.J. Rizvi, M.A. Azad, & M.M. Fraz, Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs). Arch Computat Methods Eng 28, 4503–4521 (2021). https://doi.org/10.1007/s11831-021-09543-4 2021
  • S. K. J. Rizwi, W. Aslam, M. Shahzad, S. Saleem, M. M. Fraz , “PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable”, Complex & Intelligent Systems, Vol. 21 , No. 2, Oct, 2021. https://doi.org/10.1007/s40747-021-00560-1 2021
  • S. S. A. Zaidi, M. M. Fraz, M. Shahzad , “A multiapproach generalized framework for automated solution suggestion of support tickets”, International Journal of Intelligent Systems, Vol. 21 , No. 2, Sep, 2021. https://doi.org/10.1002/int.22701 2021
  • N. Perwaiz, M. M. Fraz, M. Shahzad , “Stochastic attentions and context learning for person re-identification”, PeerJ Computer Science, Vol. 7 , No. e447, May, 2021. https://doi.org/10.7717/peerj-cs.447 2021
  • S. K. J. Rizwi, M. A. Azad, M. M. Fraz , “Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs)”, Archives of Computational Methods in Engineering, Vol. 2021 , No. 1, Apr, 2021. https://doi.org/10.1007/s11831-021-09543-4 2021
  • I Khurram, M.M. Fraz , M Shahzad, NM Rajpoot , “Dense-CaptionNet: A Sentence Generation Architecture for Fine-Grained Description of Image Semantics”, Cognitive Computing, Vol. 13 , No. 1, PP. 595-691, Mar, 2021. https://doi.org/10.1007/s12559-019-09697-1 2021
  • I. Mahmood, M. Mobeen, A. U. Rahman, S. Younis, A. W. Malik, M. M. Fraz, KafaitUllah , “Modeling, simulation and forecasting of wind power plants using agent-based approach”, Journal of Cleaner Production, Vol. 276 , No. 1, Dec, 2020. https://doi.org/10.1016/j.jclepro.2020.124172 2020
  • S. Mehmood, M. Shahzad, M.M. Fraz , “DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud”, Neural Processing Letters, Vol. 52 , No. 3, Oct, 2020. https://doi.org/10.1007/s11063-020-10368-8 202S. Javed, A. Mahmood, M. M. Fraz, , NA Koohbanani, K. Benes, Y. Tsang, K. Hewitt, D, Epstein, D. Snead, N. M. Rajpoot , “Cellular community detection for tissue phenotyping in colorectal cancer histology images”, Medical Image Analysis, Vol. 63 , No. 1, Jul, 2020. https://doi.org/10.1016/j.media.2020.101696
  • Conference 2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pages 178-182 Publisher IEEE. https://doi.org/10.1109/HONET56683.2022.10019076 2022
  • Esha S. Nasir and M.M. Fraz, “NuRiSC: Nuclei Radial instance Segmentation & Classification”, in the proceedings of 3rd International Conference on Medical Imaging and Computer-Aided Diagnosis, 20-21, Nov 2022, University of Leicester, UK 2022
  • F. Tariq, S. A. Khan and M.M. Fraz, “Schema based Knowledge graph for Clinical Knowledge Representation from Structured and Unstructured Oncology Data”, in the proceedings of 3rd International Conference on Medical Imaging and Computer-Aided Diagnosis, 20-21, Nov 2022, University of Leicester, UK 2022
  • M. A. Nawshad, Z. Zafar and M. M. Fraz, “Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss,” 2022 24th International Multitopic Conference (INMIC), Islamabad, Pakistan, 2022, pp. 1-7, https://doi.org/10.1109/INMIC56986.2022.9972912. 2022
  • N. Perwaiz, M. Shahzad and M. M. Fraz, “Unveiling the Potential of Vision Transformer Architecture for Person Re-identification,” 2022 24th International Multitopic Conference (INMIC), Islamabad, Pakistan, 2022, pp. 1-6, https://doi.org/10.1109/INMIC56986.2022.9972908. 2022
  • S. Wazir and M. M. Fraz, “HistoSeg: Quick attention with multi-loss function for multi-structure segmentation in digital histology images,” 2022 12th International Conference on Pattern Recognition Systems (ICPRS), 2022, pp. 1-7, https://doi.org/10.1109/ICPRS54038.2022.9854067. 2022
  • B. Khan, M. M. Fraz, A. Mumtaz, “Enhanced Super-Resolution via Squeeze-and-Residual-Excitation in Aerial Imagery,” 2021 International Conference on Frontiers of Information Technology (FIT), 2021, pp. 19-24, https://doi.org/10.1109/FIT53504.2021.00014. 2021
  • A. Rasool, M. M. Fraz, S. Javed, “Multiscale Unified Network for Simultaneous Segmentation of Nerves and Micro-vessels in Histology Images”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441509 2021
  • G.M. Dogar, M.M. Fraz, S. Javed, “Feature Attention Network for Simultaneous Nuclei Instance Segmentation and Classification in Histology Images”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441474 2021
  • M. A. Nawshad, U. A. Shami, S. Sajid, M. M. Fraz, “Attention Based Residual Network for Effective Detection of COVID-19 and Viral Pneumonia”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441485 2021
  • T. S. S. Hashmi, N. Haq, M. M. Fraz, M. Shahzad, “Application of Deep Learning for Weapons Detection in Surveillance Videos”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441523 2021
  • S. Sattar, Y. Sattar, M. Shahzad, M. M. Fraz, “Group Activity Recognition in Visual Data: A Retrospective Analysis of Recent Advancements”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441478 2021
  • R. Faizan, M. M. Fraz, M. Shahzad, “IAB-Net: Informative and Attention Based Person Re-Identification”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441480 2021
  • A. H. Khan, M. M. Fraz, M. Shahzad, “Deep Learning Based Land Cover and Crop Type Classification: A Comparative Study”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441483 2021
  • M. S. Arshad, U. A. Rehman, M. M. Fraz, “Plant Disease Identification Using Transfer Learning”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441512 2021
  • A. M. Shahid, M. M. Fraz, M. Shahzad, “Large Scale Face Recognition In the Wild: Technical Challenges and Research Directions”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441525 2021
  • A. Jamshed, M. M. Fraz, “NLP Meets Vision for Visual Interpretation – A Retrospective Insight and Future directions”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441517 2021
  • N. Haq, T. S. S. Hashmi, M. M. Fraz, M. Shahzad, “Rotation Aware Object Detection Model with Applications to Weapons Spotting in Surveillance Videos”, 2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2) IEEE, May, 2021, Islamabad, Pakistan. https://doi.org/10.1109/ICoDT252288.2021.9441538
  • M.A, Nawshad, M.M. Fraz (2023). Improving Masked Face Recognition Using Dense Residual Unit Aided with Quadruplet Loss. In: Yan, W.Q., Nguyen, M., Stommel, M. (eds) Image and Vision Computing. IVCNZ 2022. Lecture Notes in Computer Science, vol 13836. Springer, Cham. https://doi.org/10.1007/978-3-031-25825-1_25 2023
  • M.M. Fraz, Shaban, M., Graham, S., Khurram, S.A., Rajpoot, N.M. (2018). Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. In: , et al. Computational Pathology and Ophthalmic Medical Image Analysis. OMIA COMPAY 2018 2018. Lecture Notes in Computer Science, vol 11039. Springer, Cham. https://doi.org/10.1007/978-3-030-00949-6_19 2018
  • Bashir, R.M.S., Shahzad, M., Fraz, M.M. (2018). DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification. In: , et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science, vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_26 2018
  • AlBadawi, S., Fraz, M.M. (2018). Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network. In: Campilho, A., Karray, F., ter Haar Romeny, B. (eds) Image Analysis and Recognition. ICIAR 2018. Lecture Notes in Computer Science, vol 10882. Springer, Cham. https://doi.org/10.1007/978-3-319-93000-8_75
    2018
  • Khurram, I., Fraz, M.M., Shahzad, M. (2018). Detailed Sentence Generation Architecture for Image Semantics Description. In: , et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science(), vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_37 2018
  • M.M. Fraz, S.A. Barman, “Computer vision algorithms applied to retinal vessel segmentation and quantification of vessel calibre”, in Image Analysis and Modelling in Ophthalmology by CRC Press Tayler and Francis, ISBN 978-1-4665-5938, Feb, 2014. 2014
  • M.M. Fraz, S.A. Barman, “Image Analysis and Modelling in Ophthalmology / Ensemble classification applied to retinal blood vessel segmentation: Theory and Implementation”, in Image Analysis and Modelling in Ophthalmology by CRC Press Tayler and Francis, ISBN 978-1-4665-5938, Feb, 2014.
  • AI for Medical Image Analytics
  • Intelligent Visual Surveillance and Biometrics
  • Knowledge and Semantics from Visual Data
  • Remote Sensing and Precision Agriculture
  • Predictive Analytics
  • AI in Business & Finance