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Dr. Arif Mahmood
Tenured Professor and Dean, Faculty of Sciences
Department of Computer Science
PhD - Computer Science, Lahore University of Management Sciences (LUMS), Pakistan
RESEARCH INTERESTS

Robot Vision & Machine Learning

biography

Dr. Arif Mahmood is a tenured Professor of Machine Learning and Computer Vision, serving as the Dean of the Faculty of Sciences at the Information Technology University, Lahore, Pakistan. He is also the founding Director of the renowned Center for Artificial Intelligence and Robot Vision (CAI&RV) at the same institution. Prior to his tenure at ITU, Dr. Mahmood held the position of Research Assistant Professor at the Department of Computer Science and Software Engineering, followed by the same role at the Department of Mathematics and Statistics at the University of Western Australia. Additionally, he enriched his academic journey as a Postdoctoral Researcher at the College of Engineering in Qatar University.

Dr. Mahmood served as a “Computer Vision Consultant” at King Abdulaziz University, Jeddah, Saudi Arabia, and Huazhong University of Science and Technology, China in 2021. His accomplishments include the successful authorship of a Linkage Project grant from the Australian Research Council (ARC) in 2015, focusing on “Machine Learning for Fracture Risk Assessment from Simple Radiography,” in collaboration with industry partners.

Throughout his illustrious career, Dr. Mahmood has been deeply involved in education and research at esteemed national and international universities. He conducted a comprehensive seminar course on Computer Vision research at Guangdong University of Petrochemical Technology, China, in 2021. His contributions have extended to program committees, including FIT 2017 and the International Workshop on “Robust Subspace Learning and Applications in Computer Vision” affiliated with ICCV 2017, ICCV 2019, and ICCV 2021.

Dr. Mahmood’s research focus encompasses Robot Vision, Data Science, and Machine Learning. His scholarly impact is evident through extensive publications in prestigious journals like IEEE TPAMI, IJCV, MEDIA, IEEE TIP, IEEE TCSVT, IEEE TCC, IEEE TSC, Information Fusion, and IEEE TKDE. He has presented his pioneering work at over 17 conferences worldwide, including distinguished gatherings such as Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ECCV, ACCV, BMVC, and WACV.

For a comprehensive view of his accomplishments and professional contributions, Dr. Mahmood’s  Google Profile and his network on LinkedIn  provide further insights.

RECENT PUBLICATIONS

    Year 2025
  • 1. B. Alawode, I. I. Ganapathi, S. Javed, N. Werghi, M. Bennamoun, Arif Mahmood, “AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysis”, arXiv preprint, 2025.
  • 2. S. M. Haider Rizvi, R. Imran, Arif Mahmood, “Text Classification Using Graph Convolutional Networks: A Comprehensive Survey”, ACM Computing Surveys (CSUR), 2025. (IF 23.8)
  • 3. S A Albastaki, A Sohail, I Ganapathi, B Alawode, A Khan, S Javed, N Werghi, M Bennamoun, Arif Mahmood, "Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation", accepted in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (H5 Index 440, H5 Median 689)
  • 4. S Tourani, S Tourani, Arif Mahmood, M H Khan, " Unsupervised Discovery of Facial Landmarks and Head Pose", accepted in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (H5 Index 440, H5 Median 689)
    • Year 2024
  • 5. K. Islam, M. Z. Zaheer, Arif Mahmood, K. Nandakumar, N. Akhtar, “GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing”, arXiv preprint, 2024.
  • 6. Y. Liu, Arif Mahmood, M. H. Khan, “Depth Attention for Robust RGB Tracking”, Proceedings of the Asian Conference on Computer Vision (ACCV), 2024.
  • 7. Y. Liu, Arif Mahmood, M. H. Khan, “NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking”, Proceedings of the Asian Conference on Computer Vision (ACCV), 2024. (Best Application Paper Honorable Mention)
  • 8. Zia-ur-Rehman, Arif Mahmood, W. Kang, “Pseudo-label Refinement for Improving Self-Supervised Learning Systems”, arXiv preprint, 2024.
  • 9. M. Umar, M. Asif, Arif Mahmood, “Lower-Dimensional Projections of Cellular Expression Improves Cell Type Classification from Single-Cell RNA Sequencing”, arXiv preprint, 2024.
  • 10. M. Ilyas, A. Yasmeen, Y. D. Khan, Arif Mahmood, “Deep-Ace: LSTM-based Prokaryotic Lysine Acetylation Site Predictor”, arXiv preprint, 2024.
  • 11. S. M. H. Rizvi, R. Imran, Arif Mahmood, “Text Classification using Graph Convolutional Networks: A Comprehensive Survey”, arXiv preprint, 2024.
  • 12. M. Ghafoor, Arif Mahmood, M. Bilal, “Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion”, IEEE Transactions on Multimedia, 2024. (IF 8.4)
  • 13. M. Marrium, Arif Mahmood, M. Bennamoun, “Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels”, arXiv preprint, 2024.
  • 14. S. Javed, Arif Mahmood, T. Qaiser, N. Werghi, N. Rajpoot, “Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification”, Medical Image Analysis, 2024. (IF 10.7)
  • 15. B. Alawode, S. Javed, Arif Mahmood, J. Matas, “Predicting the Best of N Visual Trackers”, arXiv preprint, 2024.
  • 16. N. Alghanmi, R. Alotaibi, S. Alshammari, Arif Mahmood, “Population Fusion Transformer for Subnational Population Forecasting”, International Journal of Computational Intelligence Systems, 2024. (IF 2.5)
  • 17. S. Tourani, A. Alwheibi, Arif Mahmood, M. H. Khan, “Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (H5 Index 440, H5 Median 689)
  • 18. S. Javed, Arif Mahmood, I. I. Ganapathi, F. A. Dharejo, N. Werghi, M. Bennamoun, “CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (H5 Index 440, H5 Median 689)
  • 19. K. Islam, M. Z. Zaheer, Arif Mahmood, K. Nandakumar, “DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (H5 Index 440, H5 Median 689)
    • Year 2023
  • 20. N Alghanmi, R Alotaibi, S Alshammari, Arif Mahmood, “Population Affinity Propagation Approach for Points of Dispensing Location Allocation”, in Applied Intelligence, 2023. (IF 5.019)
  • 21. Arif Mahmood, A Basit, M A Munir, M ALi, “Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures”, accepted IEEE Transactions on Computational Social Systems (TCSS), 2023. (IF 5.0)
  • 22. B Alawode, FA Dharejo, M Ummar, Y Guo, Arif Mahmood, N Werghi, et al., “Improving Underwater Visual Tracking with a Large Scale Dataset and Image Enhancement”, arXiv preprint, 2023.
  • 23. H Yaseen, Arif Mahmood, “Learning Structure Aware Deep Spectral Embedding”, accepted IEEE Transactions on Image Processing (TIP), 2023. (IF 11.042)
  • 24. M Z Zaheer, Arif Mahmood, M Astrid, S I Lee, “Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos”, accepted IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (IF 14.225)
  • 25. S Javed, Arif Mahmood, T Qaiser, N Werghi, “Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision”, in IEEE Journal of Biomedical and Health Informatics (JBHI), 2023. (IF 7.021)
  • 26. S Aldhaheri, R Alotaibi, B Alzahrani, A Hadi, Arif Mahmood, A Alhothali, A Barnawi, “MACC Net: Multi-task attention crowd counting network”, in Applied Intelligence, 2023. (IF 5.019)
  • 27. MS Saeed, S Nawaz, MH Khan, MZ Zaheer, K Nandakumar, MH Yousaf, Arif Mahmood, “Single- branch Network for Multimodal Training”, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  • 28. H Giraldo, S Javed, Arif Mahmood, F D Malliaros, T Bouwmans, “Higher-Order Sparse Convolutions in Graph Neural Networks”, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  • 29. M Awan, M H Khan, S Baliah, M A Waseem, S Khan, F S Khan, Arif Mahmood, Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck, British Machine Vision Conference (BMVC) 2023.
    • Year 2022
  • 30. M Ghafoor, and Arif Mahmood, “Quantification of Occlusion Handling Capability of 3D Human Pose Estimation Framework.” IEEE Transactions on Multimedia, 2022. (IF 8.182)
  • 31. M Z Zaheer, Arif Mahmood, M H Khan, M Segu, F Yu, S I Lee, “Generative Cooperative Learning for Unsupervised Video Anomaly Detection”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (H5 Index 440, H5 Median 689)
  • 32. S Javed, Arif Mahmood, J Dias, and N Werghi, “Multi-Level Feature Fusion for Nucleus Detection in Histology Images Using Correlation Filters” Computers in Biology and Medicine, 2022. (IF 6.698)
  • 33. T Hassan, S Javed, Arif Mahmood, T Qaiser, N Werghi, and N Rajpoot, “Nucleus Classification in Histology Images Using Message Passing Network.” Medical Image Analysis, 2022. (IF 13.828)
  • 34. Y Hao, Z Tang, B Alzahrani, R Alotaibi, R Alharthi, M Zhao, and Arif Mahmood, “An End-to-End Human Abnormal Behavior Recognition Framework for Crowds with Mentally Disordered Individuals.” IEEE journal of Biomedical and Health Informatics, 2022. (IF 7.021).
  • 35. S Aftab, S F Ali, Arif Mahmood, and U Suleman, “A Boosting Framework for Human Posture Recognition Using Spatio-Temporal Features along with Radon Transform.” Multimedia Tools and Applications, 2022. (IF 2.577)
  • 36. S Aldhaheri, R Alotaibi, B Alzahrani, A Hadi, Arif Mahmood, A Alhothali, and A Barnawi, “MACC Net: Multi-Task Attention Crowd Counting Network”, Applied Intelligence, 2022. (IF 5.019)
  • 37. M Sultana, Arif Mahmood, and S K Jung, “Unsupervised Moving Object Segmentation Using Background Subtraction and Optimal Adversarial Noise Sample Search”, Pattern Recognition, 2022. (IF 8.518).
  • 38. M Ghafoor, K Javed, and Arif Mahmood, “Walk Like Me: Video to Video Action Transfer” IEEE TechRxiv, 2022.
  • 39. S M Shakeel, Y Zhang, X Wang, W Kang, and Arif Mahmood, “Multi-Scale Attention Guided Network for End-to-End Face Alignment and Recognition” Journal of Visual Communication and Image Representation, 2022. (IF 2.887)
  • 40. J H Giraldo, Arif Mahmood, B Garcia-Garcia, D Thanou, and T Bouwmans, “Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness” IEEE Transactions on Signal and Information Processing over Networks, 2022. (IF 3.301)
  • 41. B Yousaf, M Usama, W Sultani, Arif Mahmood, and J Qadir, “Fake Visual Content Detection Using Two-Stream Convolutional Neural Networks” Neural Computing and Applications, 2022. (IF 5.102)
  • 42. S Javed, Arif Mahmood, I Ullah, and T Bouwmans, “A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking” IEEE Access, 2022. (IF 3.476)
  • 43. R Wang, R Alotaibi, B Alzahrani, Arif Mahmood, G Wu, H Xia, A Alshehri, and S Aldhaheri, “AAC: Automatic Augmentation for Crowd Counting” Neurocomputing, 2022. (IF 5.779)
  • 44. I Ganapathi, S Javed, S S Ali, Arif Mahmood, N S Vu, and N Werghi, “Learning to Localize Image Forgery Using End-to-End Attention Network.” Neurocomputing, 2022. (IF 5.779)
  • 45. M Sultana, Arif Mahmood, T Bouwmans, M H Khan, and S K Jung, “Moving Objects Segmentation Using Generative Adversarial Modeling” Neurocomputing, 2022. (IF 5.779)
  • 46. S Ali, Arif Mahmood, S K Jung, “Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation” in International Workshop on Frontiers of Computer Vision, Japan, 2022.
  • 47. M Fiaz, Arif Mahmood, S S Farooq, K Ali, M Shaheryar, S K Jung, “Video Object Segmentation
  • Based on Guided Feature Transfer Learning” in International Workshop on Frontiers of Computer
  • Vision, Japan, 2022. [Best Paper Award]
    • Year 2021
  • 48. S Javed, Arif Mahmood, J Dias, L Seneviratne, N Werghi, “Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking”, in IEEE Transactions on Cybernetics, 2021. (IF 11.079)
  • 49. J Iqbal, MA Munir, Arif Mahmood, AR Ali, M Ali, “Leveraging orientation for weakly supervised object detection with application to firearm localization”, Neurocomputing, 2021. (IF 4.438)
  • 50. S Javed, Arif Mahmood, N Rajpoot, J Dias, N Werghi, “Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images”, Medical Image Analysis, 2021. (IF 11.48)
  • 51. M Asim, C Brekke, Arif Mahmood, T Eltoft, M Reigstad, “Improving Chlorophyll-a Estimation from sentinel-2 (MSI) in the Barents Sea using Machine Learning”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. (IF 3.827)
  • 52. W Abbas, MF Khan, M Taj, Arif Mahmood, “Statistically correlated multi-task learning for autonomous driving”, Neural Computing and Applications, 2021. (IF 4.774)
  • 53. M Farooq, M N Dailey, Arif Mahmood, J Moonrinta, M Ekpanyapong, “Human face super-resolution on poor quality surveillance video footage”, Neural Computing and Applications, 2021. (IF 4.774)
  • 54. S Nawaz, M S Saeed, P Morerio, Arif Mahmood, I Gallo, M H Yousaf, “Cross-modal Speaker Verification and Recognition: A Multilingual Perspective”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2021.
  • 55. B Yousaf, M Usama, W Sultani, Arif Mahmood, J Qadir, “Fake Visual Content Detection Using Two-Stream Convolutional Neural Networks”, arXiv preprint, 2021.
  • 56. M S Saeed, P Morerio, Arif Mahmood, I Gallo, M H Yousaf, “Cross-modal Speaker Ver-
  • ification and Recognition: A Multilingual Perspective”, Proceedings of the IEEE/CVF Conference
  • on Computer Vision and Pattern Recognition Workshop, 2021.
  • 57. M Fiaz, K Ali, S B Yun, K Y Baek, H J Lee, I S Kim, Arif Mahmood, S S Farooq, S K Jung, “Robust Tracking via Feature Enrichment and Overlap Maximization”, International Workshop on Frontiers of Computer Vision (IW-FCV) 2021.
  • 58. MZ Zaheer, Arif Mahmood, MH Khan, M Astrid, SI Lee, “An anomaly detection system via mov-
  • ing surveillance robots with human collaboration” in Proceedings of the IEEE/CVF International
  • Conference on Computer Vision Workshop, 2021.
  • 59. M Sultana, Arif Mahmood, T Bouwmans, MH Khan, SK Jung, “Background/Foreground Sepa-
  • ration: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning
  • Methods”, Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop,
  • 2021.
    • Year 2020
  • 60. S Javed, Arif Mahmood, K Benes, N Rajpoot, “Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping”, IEEE Transactions on Image Processing (TIP), 2020. (IF 9.340)
  • 61. S Javed, Arif Mahmood, JM Dias, N Werghi, “Robust Structural Low-Rank Tracking” IEEE Transactions on Image Processing (TIP), 2020. (IF 9.340)
  • 62. S Javed, Arif Mahmood, M M Fraz, N A Koohbanania, K Benesc, Y W Tsangc, K Hewittc, D Epsteind, D Sneadc, N Rajpoot, “Cellular Community Detection For Tissue Phenotyping In Colorectal Cancer Histology Images”, Medical Image Analysis (MEDIA), 2020. (IF 11.48)
  • 63. M Sultana, Arif Mahmood, SK Jung, “Unsupervised Moving Object Detection in Complex Scenes Using Adversarial Regularizations” IEEE Transactions on Multimedia (TMM), 2020. (IF 6.051)
  • 64. M Abdullah, W Iqbal, Arif Mahmood, F Bukhari, A Erradi, “Predictive Autoscaling of Microservices Hosted in Fog Microdata Center”, IEEE Systems Journal, 2020. (IF 3.987)
  • 65. MZ Zaheer, Arif Mahmood, H Shin, SI Lee, “A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels”, IEEE Signal Processing Letters (SPL), 2020. (IF 3.105)
  • 66. MZ Zaheer, Arif Mahmood, M Astrid, SI Lee, “CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection”, European Conference on Computer Vision (ECCV), 2020.
  • 67. M Fiaz, Arif Mahmood, KY Baek, SS Farooq, SK Jung, “Improving Object Tracking by Added Noise and Channel Attention” Sensors, 2020. (IF 3.275)
  • 68. M Fiaz, Arif Mahmood, SK Jung, “Learning soft mask based feature fusion with channel and spatial attention for robust visual object tracking” Sensors 20 (14), 2020. (IF 3.275)
  • 69. MZ Zaheer, J Lee, M Astrid, Arif Mahmood, SI Lee, “Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection”, Computer Vision Pattern Recognition Workshop (CVPRW), 2020.
  • 70. M Fiaz, Arif Mahmood, SK Jung, “Video Object Segmentation using Guided Feature and Directional Deep Appearance Learning” Computer Vision Pattern Recognition Workshop (DAVIS Challenge), 2020.
  • 71. M Sultana, Arif Mahmood, T Bouwmans, SK Jung, “Dynamic Background Subtraction using Least Squares Adversarial Learning”, IEEE International Conference on Image Processing (ICIP), 2020.
  • 72. S Javed, Arif Mahmood, J Dias, N Werghi, “CS-RPCA: Clustered Sparse RPCA for Moving Object Detection”, IEEE International Conference on Image Processing (ICIP), 2020.
  • 73. A Basit, MA Munir, M Ali, N Werghi, Arif Mahmood, “Localizing firearm carriers by identifying human-object pairs”, IEEE International Conference on Image Processing (ICIP), 2020.
  • 74. M Asim, C Brekke, Arif Mahmood, T Eltoft, M Reigstad, “Ocean Color Net (OCN) for the Barents Sea”, IEEE International Geoscience and Remote Sensing Symposium (IGRSS), 2020.
  • 75. M Fiaz, M M Rahman, Arif Mahmood, S S Farooq, K Y Baek, S K Jung, “Adaptive Feature Selection Siamese Networks for Visual Tracking”, International Workshop on Frontiers of Computer Vision (IW-FCV), Ibusuki, Japan, 2020. (Best Student Paper Award)
  • 76. M Sultana, Arif Mahmood, T Bouwmans, S K Jung, “Unsupervised Adversarial Learning for Dynamic Background Modelling”, International Workshop on Frontiers of Computer Vision (IW-FCV), Ibusuki, Japan, 2020. (Best Paper Award)
    • Year 2019
  • 77. N Khan, A Akram, Arif Mahmood, S Ashraf, K Murtaza, “Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis”, International Journal of Computer Vision (IJCV), 2019. (IF 6.071)
  • 78. W Iqbal, A Erradi, M Abdullah, Arif Mahmood, “Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources”, in IEEE Transactions on Cloud Computing (TCC), 2019. (IF 5.967)
  • 79. M S Farid, Arif Mahmood, S Al-Maadeed, “Multi-focus Image Fusion Using Content Adaptive Blurring”, in Information Fusion, 2019 (IF 10.716)
  • 80. S Javed, Arif Mahmood, S Al-Maadeed, T Bouwmans, S K Jung, “Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA”, in IEEE Transactions on Image Processing (TIP), 2019. (IF 6.79)
  • 81. M Shaban, Arif Mahmood, S Al-Maadeed, N Rajpoot “An Information Fusion Framework for Person Localization Via Body Pose in Spectator Crowds”, in Information Fusion, 2019. (IF 10.716)
  • 82. H Ullah, M Uzair, Arif Mahmood, H Ullah, S D Khan, F A Sheikh “Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble”, in IEEE Access, 2019. (IF 4.098)
  • 83. M Fiaz, Arif Mahmood, S Javed, S K Jung “Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends”, in ACM Computing Surveys, 2019 (IF 5.55)
  • 84. B Iqbal, W Iqbal, N Khan, Arif Mahmood, A Erradi “Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark”, in Cluster Computing, 2019 (IF 1.851)
  • 85. M Sultana, Arif Mahmood, S Javed, S K Jung, “Unsupervised deep context prediction for background estimation and foreground segmentation”, in Machine Vision and Applications (MVA), 2019. (IF 1.788)
  • 86. A Erradi, W Iqbal, Arif Mahmood, A Bouguettaya, “Web application resource requirements estimation based on the workload latent features”, in IEEE Transactions on Services Computing (TSC), 2019 (IF 5.707)
  • 87. Arif Mahmood, S Al-Maadeed, “Action recognition in poor quality spectator crowd videos using head distribution based person segmentation”, in Machine Vision and Applications (MVA), 2019 (IF 1.788)
  • 88. M Faiz, Arif Mahmood, S K Jung, “Using Convolutional Neural Network With Structural Input for Visual Object Tracking", in ACM/SIGAPP Symposium on Applied Computing (SAC), 2019.
  • 89. J Iqbal, M A Munir, Arif Mahmood, A R Ali, M Ali, “Orientation Aware Object Detection with Application to Firearms”, arXiv, 2019.
  • 90. M Faiz, Arif Mahmood, S K Jung, “Deep Siamese networks towards robust visual tracking" in “Visual Object Tracking in the Deep Neural Networks Era.", IntechOpen Publishers, 2019.
  • 91. S Javid, Arif Mahmood, N Werghi, J M M Dias, “Structural Low-Rank Tracking", IEEE international conference on Advanced Video and Signal-based Surveillance (AVSS), 2019.
  • 92. M Sultana, Arif Mahmood, T Bouwmans, S K Jung, “Complete Moving Object Detection in the Context of Robust Subspace Learning" in IEEE International Conference on Computer Vision (RSLCV Workshop) 2019.
  • 93. S Javed, Arif Mahmood, N Werghi, N Rajpoot, “Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images", in IEEE International Conference on Computer Vision (VRMI Workshop) 2019.
  • 94. S Nawaz, M K Janjua, I Gallo, Arif Mahmood, A Calefati, F Shafait, “Do Cross Modal Systems Leverage Semantic Relationships?" in IEEE International Conference on Computer Vision (CroMol Workshop) 2019.
  • 95. S Nawaz, M K Janjua, I Gallo, Arif Mahmood, A Calefati, “Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals" in Digital Image Computing: Techniques and Applications (DICTA) Conference, 2019.
    • Year 2018
  • 96. Arif Mahmood, M Uzair, S Al-Maadeed, “Multi-order Statistical Descriptors for Real-time Face Recognition and Object Classification”, in IEEE Access, 2018 (IF 4.098).
  • 97. I Rida, S Al-maadeed, Arif Mahmood, A Boridane, S Baksi “Palmprint Identification Using an Ensemble of Sparse Representations”, in IEEE Access, 2018 (IF 4.098).
  • 98. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Spatiotemporal Low-rank Modeling for Complex Scene Background Initialization”, in IEEE Transactions on Circuits and Systems for Video Technology, 2018. (IF 4.046)
  • 99. S Ali, R Khan, Arif Mahmood, M Hassan, M Jeon, “Using temporal covariance of motion and geometric features via boosting for human fall detection”, in Sensors, 2018. (IF 3.031)
  • 100. W Iqbal, A Erradi, Arif Mahmood, “Dynamic workload patterns prediction for proactive auto-scaling of web applications”, in Journal of Network and Computer Applications, 2018. (IF 5.273)
  • 101. M Fiaz, Arif Mahmood, S K Jung “Tracking Noisy Targets: A Review of Recent Object Tracking Approaches”, available online arXiv, 2018.
  • 102. Z Suhail, Arif Mahmood, L Wang, P N Malcolm, and R Zwiggelaar, “A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers", in Medical Image Understanding and Analysis (MIUA) Conference, 2018.
  • 103. Z Suhail, Arif Mahmood, E R E Denton, R Zwiggelaar, “Bag of Visual Words Approach for Classification of Benign and Malignant Masses in Mammograms Using Voting Based Feature Encoding", in International Workshop on Breast Imaging (IWBI), 2018.
  • 104. M Sultana, Arif Mahmood, S Javed, S K Jung, “Unsupervised RGBD Video Object Segmentation Using GANs", in ACCV Workshop on RGBD-Sensing and Understanding via Combined Color and Depth, 2018.
    • Year 2017
  • 105. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering”, in IEEE Transactions on Image Processing, 2017 (IF 4.828)
  • 106. A G Karkar, J M Aljaam, Arif Mahmood, “Illustrate It! An Arabic Multimedia Text-to-Picture m-Learning System”, IEEE Access, 2017 (IF 3.244)
  • 107. B Brekhna, Arif Mahmood, Y Zhou, C Zhang, “Robustness analysis of superpixel algorithms to image blur, additive Gaussian noise, and impulse noise”, SPIE Journal of Electronic Imaging, 2017 (IF 0.754)
  • 108. Arif Mahmood, M Small, S Maadeed, N Rajpoot, “Using Geodesic Space Density Gradients for Network Community Detection”, in IEEE Transactions on Knowledge and Data Engineering, 2017. (IF 3.438)
  • 109. H Tazeem, M Farid, Arif Mahmood, “Improving security surveillance by hidden cameras” in Multimedia Tools and Applications, January 2017. (IF 1.346)
  • 110. M Uzair, Arif Mahmood, S A Al-maadeed, “Non-cooperative and occluded person identification using periocular region with visible, infra-red, and hyperspectral imaging”, in Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era (Signal Processing for Security Technologies), 2017
  • 111. S Muhammad, Arif Mahmood, S Al-Maadeed, N Rajpoot, "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Network", International Workshop on Representation, analysis and recognition of shape and motion FroM Image data (RFMI), December 2017.
  • 112. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Superpixels-based Manifold Structured Sparse RPCA for Moving Object Detection” in British Machine Vision Conference (BMVC) 2017.
  • 113. M Fiaz, S Javed, Arif Mahmood, S K Jung, “Comparative Study of ECO and CFNet Object Trackers in Noisy Environment”, in the 3rd International Conference on Next Generation Computing, Taiwan, 2017.
    • Year 2016
  • 114. M. S. Farid, Arif Mahmood, and M. Grangetto, “Image De-fencing Framework with Hybrid Inpainting Algorithm”, in Signal Image and Video Processing, 2016. (IF 1.43)
  • 115. H Rahmani, Arif Mahmood, D Huynh and A Mian, “Histogram of Oriented Principal Components for cross-view action recognition”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016. (IF 8.329)
  • 116. Arif Mahmood, M Small, “Subspace based network community detection using sparse linear coding”, in IEEE transactions on Knowledge and Data Engineering, 2016. (IF 2.476)
  • 117. H. Rahmani, D Huynh, Arif Mahmood and A Mian, “Discriminative human action classification using locality-constrained linear coding”, in Pattern Recognition Letters, 2016. (IF 1.551)
  • 118. J Bosveld, Arif Mahmood, D Huynh, L Noakes, “Constrained metric learning by permutation inducing isometries” in IEEE Transactions on Image Processing, 2016. (IF 3.625)
  • 119. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Motion aware graph regularized RPCA for Background Modeling of Complex Scenes” in International Conference on Pattern Recognition (ICPR) 2016.
  • 120. Arif Mahmood, M Small, “Subspace based network community detection using sparse linear coding”, in IEEE International Conference on Data Engineering (ICDE) 2016.
  • 121. M Shaban, Arif Mahmood, Nasir Rajpoot, “Person Pose Detection and Segmentation in Dense Spectator Crowds” in Machine Learning and Data Analysis Symposium (MLDAS), Qatar, 2016.
  • 122. Arif Mahmood, N Rajpoot, “Action Recognition in Spectator Crowds” in Qatar Foundation
  • Annual Research Conference Proceedings, 2016.
  • 123. Arif Mahmood, M Shaban, H Idrees, N M Rajpoot, M Shah, “Pose Detection for Partially Occluded Persons in Spectator Crowds”, in Qatar Foundation Annual Research Conference Proceedings, 2016.
    • Year 2015
  • 124. M Uzair, Arif Mahmood, A Mian, “Periocular region based person identification in the visible infra-red and hyperspectral imagery”, in Neurocomputing, 2015. (IF 2.005)
  • 125. M Uzair, Arif Mahmood, A Mian, “Hyperspectral face recognition with spatiospectral information fusion and PLS regression” in IEEE Transactions on Image Processing, 2015. (IF 3.625)
  • 126. M Uzair, Arif Mahmood, F Shafait, C Nansen and A Mian, "Is spectral reflectance of the face a reliable biometric?", Optics Express, 2015. (IF 3.648)
    • Year 2014
  • 127. M. Fareed and Arif Mahmood, “An image composition algorithm for handling global visual effects” in Multimedia Tools and Applications, 2014. (IF 1.346)
  • 128. Arif Mahmood and A Mian “Semi-supervised spectral clustering for classification”, arXiv, 2014.
  • 129. Arif Mahmood, A Mian, and R Owens “Optimizing Auto-correlation for Fast Target Search in Large Search Space” arXiv, 2014.
  • 130. M Uzair, Arif Mahmood, and A Mian, "Sparse kernel learning for image set classification'', Asian Conf. on Computer Vision (ACCV), 2014.
  • 131. H Rahmani, Arif Mahmood, D Huynh, and A Mian, "HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition" in European Conference on Computer Vision (ECCV), 2014.
  • 132. Arif Mahmood, A Mian and R Owens, “Semi-supervised spectral clustering for image set classification” in IEEE Computer Vision Pattern Recognition (CVPR), 2014.
  • 133. H Rehmani, Arif Mahmood, D Huynh and A Mian, “Action classification using locality-constrained linear coding of HOG3D”in International Conference on Pattern Recognition (ICPR) 2014. (Best Scientific Paper Award Winner).
  • 134. H Rehmani, Arif Mahmood, D Huynh, and A Mian, “Real time action recognition using histograms of depth gradients and random decision forests” in IEEE Workshop on Applications of Computer Vision (WACV), 2014.
  • 135. J Bosveld, Arif Mahmood, D Q Huynh, L Noakes, “Constraining metric learning by permutation-inducing isometries”, Software Engineering Research Conference (SERS), UWA, Australia, 2014.
    • Year 2013
  • 136. M Uzair, Arif Mahmood, and A Mian, “'Hyperspectral face recognition using 3D-DCT and Partial Least Squares (PLS)”, in British Machine Vision Conference (BMVC), 2013.
  • 137. M Uzair, Arif Mahmood, A Mian, and C McDonald, “A compact discriminative representation for efficient image-set classification with application to biometric recognition”, in International Conference on Biometrics (ICB), 2013.
  • 138. M Uzair, Arif Mahmood, A Mian, and C McDonald, “Periocular biometric recognition using image sets”, in IEEE Workshop on Applications of Computer Vision (WACV), 2013.
    • Year 2012
  • 139. M. Farid, Arif Mahmood, “Image morphing in frequency domain” in Journal of Mathematical Imaging and Vision, 2012. (IF 1.552)
  • 140. Arif Mahmood, S Khan, “Partial elimination algorithm for correlation coefficient based fast template matching”, in IEEE Transactions on Image Processing, 2012. (IF 3.625)
  • 141. Arif Mahmood and A Mian, “Hierarchical sparse spectral clustering for image set classification”, in British Machine Vision Conference (BMVC), 2012.
    • Year 2011
  • 142. M S Farid; H Khan; Arif Mahmood, “Image inpainting using cubic hermit spline”, International Conference on Graphic and Image Processing (ICGIP), Cairo, Egypt, 2011.
  • 143. Arif Mahmood, “Computation Elimination Algorithms for Correlation Based Fast Template Matching”, PhD Thesis, Lahore University of Management Sciences (LUMS), 2011.
    • Year 2010
  • 144. Arif Mahmood, S Khan, “Exploiting transitivity of correlation for fast template matching”, in IEEE Transactions on Image Processing, 2010. (IF 3.625)
  • 145. M S Farid, H Khan, Arif Mahmood, “Image inpainting based on pyramids”, IEEE 10th International Conference on Signal Processing (ICSP), 2010.
    • Year 2009
  • 146. Arif Mahmood and S Khan, “Early termination algorithms for AdaBoost based detectors”, in IEEE International Conference on Image Processing (ICIP), 2009. (IEEE Student Author Award Winner)
    • Year 2008
  • 147. Arif Mahmood and S Khan, “Exploiting local autocorrelation function for fast video to Reference image alignment”, in IEEE International Conference on Image Processing (ICIP), 2008.
    • Year 2007
  • 148. Arif Mahmood, “Structure-less object detection using AdaBoost Algorithm”, in International Conference on Machine Vision (ICMV), 2007. (Best Student Paper Award Winner)
  • 149. Arif Mahmood and S Khan, “Early Termination Algorithms for Correlation Coefficient Based Block Matching”, in IEEE International Conference on Image Processing (ICIP), 2007.
  • 150. Arif Mahmood, Z Uzmi, and S Khan, “Video Coding with Linear Compensation (VCLC)”, in IEEE International Conference on Communication (ICC), 2007.
  • 151. Arif Mahmood and S Khan, “Exploiting Inter-Frame Correlation for Fast Video to Reference Image Alignment”, in Asian Conference on Computer Vision (ACCV) 2007.

AWARDS & HONORS

  1. Best Paper Award in "International Workshop on the Frontiers of Computer Vision (IW-FCV)" held in Hiroshema, Japan, 2022
  2. Best Paper Award in Int. Workshop on Frontiers of Computer Vision, Ibusuki, Japan, 2020.
  3. Best Student Paper Award in Int. Workshop on Frontiers of Computer Vision, Ibusuki, Japan, 2020.
  4. Best Scientific Paper Award in International Conference on Pattern Recognition, 2014
  5. First prize in ‘Innovative Research’ in all Pakistan Inter Colleges and Universities Computer Project Exhibition & Competition (COMPPEC 2011).
  6. Invited speaker in International Conference on Machine Vision in 2010.
  7. Student author award for travel and registration in International Conference on Image Processing (ICIP09).
  8. Best student paper award in International Conference on Machine Vision 2007.
  9. Gold Medal and Deans Honor Award for the best academic distinction in MS.
  10. Invited speaker in the 19th School of Computer Science & Software Engineering Research Conference on “Image Segmentation using Graph Cuts” in 2013.
  11. Delivered seminars in LUMS, ITU and PUCIT in 2015 on Classification Via Clustering, and in ITU in 2016 on “Community detection in Complex networks”.
  12. He has served as reviewer for the conferences including ACCV, WACV, INMIC, DICTA, TENCON, and ICMV, and journals including IEEE TIFS, IEEE TIP, IEEE TPAMI, MVA, IEEE TGRS. His reviewer profile at Web of Science is here

AFFILIATIONS

  • Member IEEE
  • Pakistan Engineering Council