Computational Pathology, Pathology Image Analysis
Visual Object Tracking, Multi-Object Tracking
Video Anomaly Detection, Video Object Segmentation, Background Subtraction
Computer Vision Datasets
Underwater Computer Vision
Vision-Language Models, Multi-modal Large Language Models for image/video understanding
Basit Alawode (PhD Thesis: Underwater Computer Vision, Datasets, Applications, and Solutions).
Mohamad Yousif Abdulkareem Alanssari (PhD Thesis: Multi-modal Large Language Models for Video Understanding).
Muaz Al-Radi (PhD Thesis: Vision-Language Models for Video Anomaly Detection).
Awet Mekonen Araia (PhD Thesis: Vision-Language Models for Multi-Object Tracking in Video Sequences).
Moshira Ali Abdalla (PhD Thesis: MLLMs for Explainable Video Anomaly Detection).
Abderrahmene Boudiaf (PhD Thesis: Computer Vision for Agriculture and Crops).
Shahad Ahmed Abdelrahim Fikri Albastaki (PhD Thesis: Foundational Models in Computation Pathology).
Dr. Syed Sadaf Ali (2023-Present)
Dr. Fayaz Ali Dharejo (2022-2024, now at Prof. Radu Research Lab at Universitat Wurzburg, Germany)
Dr. Farah Deeba Memon (2023-2023)
I will be serving as an Associate Editor of the International Journal of Computer Vision (IJCV) from August 28th, 2025.
I have been invited by the Computer Vision Research Group (CVUT Lab) led by Professor Jiri MATAS as a visiting researcher. I spent an exciting time.
One CVPR 2025 paper accepted on Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation. [Pdf ] [Supp] [Github]
One CVPR 2024 paper accepted on CPLIP: Zero-shot Learning Using Comprehensive Vision-Language Alignment. [Pdf] [Supp] [Github]
One TPAMI 2022 paper accepted on Visual Object Tracking Using Discriminative Filters and Siamese Networks: A Survey and Outlook. [Pdf ]
One TPAMI 2021 paper accepted on Graph Moving Object Segmentation. [Pdf ] [Github ]
[22/09/2022], I have been invited to serve as a associate editor for flagship robotics conference ICRA-2023.
[16/09/2022], Our paper on "UTB180: A High-quality Benchmark for Underwater Tracking" is accepted in the Asian Conference on Computer Vision, 2022. This is the first large-scale underwater video tracking dataset.
[22/08/2022], One paper is accepted in the IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS).
[22/07/2022], One paper is accepted in Neurocomputing.
[10/07/2022], 04 papers are accepted in the ICPR workshops.
[10/05/2022], One paper is accepted in the Medical Image Analysis journal on End-to-End Message Passing Network for Nucleus Classification in Histology Images.
[28/03/2022], I will be the Area Chair for Asian Conference on Computer Vision (ACCV), 2022.
[15/03/2022], One paper is accepted in International Conference on Image Analysis and Processing.
[10/02/2022], One paper is accepted in the Computer in Biology and Medicine Journal on Nucleus Detection in Histology Images.
[20/02/2022], Two papers are accepted in the IEEE ACCESS Journal on visual tracking and gender classification.
[24/12/2022], One paper is accepted in the Journal of Digital Imaging on the detection and grading of hypertensive retinopathy.
[01/12/2021], Postdoc openings: I am looking to recruit (2-3) outstanding postdocs for an underwater computer vision project. High preferences will be given to those applicants who will demonstrate good experience in deep learning and computer vision areas with strong programming skills in Keras and PyTorch etc. Khalifa University offers highly competitive, tax-free salaries and benefits to successful candidates. Interested applicants can submit their resumes on sajid.javed@ku.ac.ae asap.
[01/12/2022], Our special session proposal "Towards Practicable Deep Learning Algorithms for Moving Object Detection for Challenging Environments" has been accepted in IEEE ICIP-2022. Submissions are welcomed!
[10/15/2021], Workshop proposal on Computer Vision for Coastal and Marine Environment Monitoring is accepted in ICIAP-2022, Italy. Papers are welcome (https://neptunia.uniparthenope.it/cfp/cv-cmem/)
[07/14/2021], I have been invited to deliver an invited talk at the RSL-CV workshop in conjunction with ICCV-2021 Montreal.
[07/13/2021], I have been invited to deliver an invited talk at the When Graph Signal Processing Meets with the Computer Vision workshop in conjunction with ICCV-2021 Montreal.
[07/05/2021], My work on AI for tissue phenotyping to analyze tumor micro-environment got Khalifa University media attention. For more details click here.
[07/04/2021], My work on nucleus detection in cancer histology images got Khalifa University media attention. For more details click here.
[05/28/2021], One paper is accepted in the IEEE Transactions on Cybernetics on Visual Tracking using Discriminative Correlation Filters.
[04/22/2021], One paper is accepted in the Medical Image Analysis journal on Nucleus Detection from Histopathology Images using Deep Discriminative Correlation Filters.
[04/21/2021], Promoted to the position of Assistant Professor of Computer Vision/Machine Learning at Khalifa University of Science and Technology.
[11/29/2020], One paper is accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence on Graph Moving Object Segmentation.
[09/10/2020], One paper is accepted in IEEE Transactions on Image Processing on Multiplex Cellular Communities for Tissue Phenotyping using Colon Cancer Pathology Images.
[05/15/2020], Two papers are accepted in IEEE International Conference on Image Processing (IEEE ICIP).
[04/30/2020], One paper is accepted in IEEE International Conference on Fusion (IEEE Fusion).
[04/02/2020], One paper is accepted in Medical Image Analysis on Tissue Phenotyping using Colon Cancer Histology Images.
[02/04/2020], Our special session proposal "Dynamic background reconstruction/subtraction for challenging environments" has been accepted in IEEE ICIP-2020.
[02/02/2020], One Paper is accepted in IEEE Transactions on Image Processing on Visual Object Tracking.
[09/15/2019], I am organizing a Robust Subspace Learning and Its Applications in Computer Vision (RSL-CV) Workshop ICCV-2019.
[8/01/2019], One paper is accepted to the RSL-CV workshop in conjunction with ICCV-2019.
[6/10/2019], Our workshop proposal "Robust Subspace Learning and Computer Vision (RSL-CV)" has been accepted in ICCV-2019.
[7/12/2019], One Paper is accepted to IEEE AVSS-2019.
[09/20/2019], I have been invited to deliver an invited talk on "Robust PCA and its application in Background-Foreground Segregation " in RSL-CV workshop in conjunction with ICCV-2019.
[02/17/2019], I have officially joined KUCARS as a research scientist. My stay with TIA Lab at the University of Warwick was very productive.
Please have a look on my Google Scholar link
Yusra Alkendi, Rana Azzam, Sajid Javed, Lakmal Seneviratne, and Yehya Zaweiri, "Neuromorphic Camera Denoising Using Graph Neural Networks-driven Transformer", IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 14.25), 2022.
Taimur Hassan, S. Javed, A. Mahmood, N. Werghi, and Nasir Rajpoot, "Nucleus Classification in Histology Image Using Message Passing Networks", Medical Image Analysis, (Impact Factor: 13.82), 2022.
Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Arif Mahmood, Sajid Javed, Ngoc-Son Vu, and Naoufel Werghi, "Learning to Localize Forgery Using End-to-End Attention Network", Neurocomputing (Impact Factor: 5.77), 2022.
S. Javed, A. Mahmood, J. Dias, and N. Werghi, "Multi-level Feature Fusion for Nucleus Detection in Histopathology Images Using Correlation Filters", Computers in Biology and Medicine (Impact Factor: 6.69) 2022.
Xiaxiong Zhang, Sajid Javed, Jorge Dias, and Naoufel Werghi, "Person Gender Classification on RGB-D Data with Self-Joint Attention", IEEE Access (Impact Factor: 3.476), 2022.
Sufian Badawi, Muhammad Mozam Fraz, Muhammad Shehzad, Imran Mahmood, Sajid Javed, Emad Mosalam, Ajay Kamath Nileshwar, "Detection and Grading of Hypertensive Retinopathy Using Vessels Tortousity and Arteriovenous Ratio", Journal of Digital Imaging (Impact Factor: 4.90), 2022.
S. Javed, A. Mahmood, I. Ullah, T. Bouwmans, M. Khonji, J. Dias, and N. Werghi, "A Novel Algorithm Based on a Common Supspcae Fusion for Visual Object Tracking", IEEE Access (Impact Factor: 3.476), 2022.
S. Javed, A. Mahmood, J. Dias, L. Seneviratne, and N. Werghi, "Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking", IEEE Transactions on Cybernetics (Impact Factor: 11.079), 2021.
S. Javed, A. Mahmood, N. Rajpoot, J. Dias, and N. Werghi, "Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images", Medical Image Analysis (Impact Factor: 11.148), 2021.
S. Javed, J. H. Giraldo, T. Bouwmans, "Graph Moving Object Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 17.861), 2020.
S. Javed, A. Mahmood, N. Werghi, K. Benes, and N. Rajpoot, "Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping ", IEEE Transactions on Image Processing (Impact Factor: 9.34), 2020.
S. Javed, A. Mahmood, M. M. Fraz, N. M. Koohbanani, K. Benes, Y. W. Tsang, K. Hewitt, D. Epstein, D. Snead, N. Rajpoot, "Cellular Community Detection For Tissue Phenotyping In Colorectal Cancer Histology Images", Medical Image Analysis (Impact Factor: 11.148), 2020.
S. Javed, A. Mahmood, J. Dias, and N. Werghi, "Robust Structural Low-Tracking", IEEE Transactions on Image Processing (Impact Factor: 9.34), 2020.
S. Javed, A. Mahmood, T. Bouwmans, and S. K. Jung, "Moving Object Detection in Complex Scenes using Spatiotemporal Structured Sparse RPCA", IEEE Transactions on Image Processing (Impact Factor: 9.34), 2019.
S. Javed, A. Mahmood, T. Bouwmans, and S. K. Jung, "Spatiotemporal Low-Rank Modelling for Complex Scene Background Initialization", IEEE Transactions on Circuits and Systems for Video Technology (Impact Factor: 4.133), 2018.
S. Javed, A. Mahmood, T. Bouwmans, and S. K. Jung, "Background-Foreground Modeling Using Spatiotemporal Sparse Subspace Clustering", IEEE Transactions on Image Processing (Impact Factor: 9.34), 2017.
S. Javed, T. Bouwmans, and S. K. Jung, "Robust Background Subtraction to Global Illumination Changes via Multiple Features-Based OR-PCA with MRF", Journal of Electronic Imaging (Impact Factor: 0.884), 2015.
T. Bouwmans, S. Javed, M. Sultana, and S. K. Jung, "Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation", Neural Networks (Impact Factor: 5.535), 2019.
M. Sultana, A. Mahmood, S. Javed, S. K. Jung, "Unsupervised Deep Context Prediction for Background Estimation and Foreground Segmentation", Machine Vision and Application (Impact Factor: 1.605), 2019.
M. Fiaz, A. Mahmood, S. Javed, and S. K. Jung, “Handcrafted and Deep Feature Trackers: A Review on Recent Visual Object Tracking Algorithms”, ACM Computing Surveys (Impact Factor: 7.990), 2018.
N. Vaswami, T. Bouwmans, S. Javed, and P. Narayanamurthy, “Robust PCA and Robust Subspace Tracking”, IEEE Signal Processing Magazine (Impact Factor: 11.35), 2018.
T. Bouwmans, S. Javed, H. Zhang, Z. Lin, and R. Otazo, “On the Applications of Robust PCA in Image and Video Processing and 3D Computer Vision”, Proceedings of the IEEE (Impact Factor: 10.252), 2018.
M. Sultana, S. Javed, N. Bhatti, S. K. Jung, "Local Binary Pattern Variants based Adaptive Texture Features Analysis for Posed and Non-Posed Facial Expression Recognition", Journal of Electronic Imaging (Impact Factor: 0.884), 2017.
T. Bouwmans, A. Sobral, S. Javed, S. K. Jung, E. H. Z. Zah, "Background/Foreground Separation via Decomposition into Low-Rank Plus Additive Matrices: A Review for a Comparative Evaluation with a Large-Scale Dataset", Computer Science Review (Impact Factor: 7.707), 2016.
A. B. Bakt, S. Javed, H.A. Marzouqi, A. Khandoker, and N. Werghi, "Colorectal Cancer Tissue Classification Using Semi-Supervised Hypergraph Convolutional Network", IEEE International Symposium on Biomedical Imaging (ISBI), 2021.
S. Javed, A. Mahmood, J. Dias, and N. Werghi, "CS-RPCA: Clustered Sparse RPCA for Moving Object Detection", IEEE ICIP, 2020.
X. Zhang, S. Javed, O. Ahmed, J. Dias, and N. Werghi, "Gender Recognition Using RGB-D Images", IEEE ICIP, 2020.
S. Javed, X. Zhang, J. Dias, L. Seneviratne, and N. Werghi, "Spatial Graph Regularized Correlation Filters for Visual Object Tracking", SoCPaR, 2020.
A. B. Bakt, S. Javed, R. Dina, H.A. Marzouqi, A. Khandoker, and N. Werghi, "Thyroid Nodule Cell Classification In Cytology Images Using Transfer Learning Approach", SoCPaR, 2020.
S. Javed, X. Zhang, L. Seneviratne, J. Dias, and N. Werghi, "Deep Bidirectional Correlation Filters for Visual Object Tracking", IEEE Fusion, 2020.
S. Javed, A. Mahmood, J. Dias, and N. Werghi, "Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images ", IEEE ICCV Workshop, 2019.
S. Javed, A. Mahmood, J. Dias, and N. Werghi, "Tensor Low-Rank Tracking", IEEE ICCV Workshop, 2019.
S. Javed, A. Mahmood, J. Dias, and N. Werghi, "Structural Low-Rank Tracking", IEEE Advanced Video and Signal-based Surveillance (IEEE-AVSS), 2019.
S. Javed, M. Fraz, D. Snead, D. Epstein, and N. Rajpoot, “Cellular Community Detection for Tissue Classification”, MICCAI Computational Pathology Workshop, 2018.
M. Sultana, A. Mahmoof, S. Javed, and S. K. Jung, “Unsupervised RGB-D Video Object Segmentation Using GANs”, Asian Conference on Computer Vision RGB-D Workshop, 2018.
W. Ansar, M. M. Fraz, M. Shahzad, I. Gohar, S. Javed, and S. K. Jung, “Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-based Person Identification”, Ibero-American Congress on Pattern Recognition, 2018.
S. Javed, P. Narayanamurthy, T. Bouwmans, and N. Vaswami, “Robust PCA and Robust Subspace Tracking: A Comparative Evaluation”, IEEE Special Session on Signal Processing, 2018.
M. Fiaz, S. Javed, A. Mahmood, and S. K. Jung, “Comparative Study of ECO and CFnet Trackers in Noisy Environment”, The 3rd International Conference on Next Generation Computing, 2018.
S. Javed, T. Bouwmans, and S. K. Jung, “Superpixels-based Manifold Structured Sparse RPCA for Moving Object Detection”, British Machine Vision Conference, 2017.
S. Javed, T. Bouwmans, and S. K. Jung, “Moving Object Detection of RGB-D Videos using Spatiotemporal RPCA Algorithm”, International Conference on Image Analysis and Processing, 2017.
S. Javed, T. Bouwmans, and S. K. Jung, “Stationary Background Model Initialization Based on Low-rank Tensor Decomposition”, The 33th ACM/SIGAPP Symposium on Applied Computing , 2017.
S. Javed, T. Bouwmans, and S. K. Jung, “Spatially-consistent Smoothed RPCA for Highly Dynamic Scene Background Subtraction”, The 33th ACM/SIGAPP Symposium on Applied Computing , 2017.
S. Javed, A. Mahmood, T. Bouwmans, and S. K. Jung, “Motion-Aware Graph Regularized RPCA for Background Modeling of Complex Scene”, International Conference on Pattern Recognition, 2016.
S. Javed, O. Seonho, A. Sobral, T. Bouwmans, and S. K. Jung, “Background Subtraction via Superpixel-based Online Matrix Decomposition with Structured Foreground Constraints”, ICCV Workshop: Robust Subspace Learning and Computer Vision, 2015.
A. Sobral, S. Javed, S. K. Jung, E. H. Z. Zah, and T. Bouwmans, “Online Tensor Decomposition for Background Subtraction in Multi-Spectral Video Sequences”, ICCV Workshop: Robust Subspace Learning and Computer Vision, 2015.
S. Javed, T. Bouwmans and S. K. Jung, “Stochastic Decomposition into Low Rank and Sparse Tensor for Robust Background Subtraction”, 6th International Conference on Imaging for Crime Prevention and Detection, 2015.
S. Javed, T. Bouwmans and S. K. Jung, “Combining ARF and OR-PCA for Background Subtraction Robust to Noisy Videos”, 18th International Conference on Image Analysis and Processing, 2015.
S. Javed, A. Sobral, T. Bouwmans and S. K. Jung, “OR-PCA with Dynamic Feature Selection for Robust Background Subtraction”, The 30th ACM/SIGAPP Symposium on Applied Computing , 2015.
S. Javed, T. Bouwmans and S. K. Jung, “Depths Extended OR-PCA with Spatiotemporal Constraints for Robust Background Subtraction”, 21st Japan-Korea Joint Workshop on Frontiers of Computer Vision , 2015.
S. Javed, O. Seonho, A. Sobral, T. Bouwmans, and S. K. Jung, “OR-PCA with MRF for Robust Foreground detection in Highly Dynamic Backgrounds”, 12th Asian Conference on Computer Vision , 2014.
S. Javed, O. Seonho, J. Heo, and S. K. Jung, “Robust Background Subtraction using Online Robust PCA via Image Decomposition”, International Conference on Research in Adaptive and Convergent System , 2014.
S. Javed, O. Seonho, S. K. Jung, “Foreground Object Detection and Tracking for Visual Surveillance System: A Hybrid Approach”, 11th International Conference on Frontiers of Information Technology , 2013.
1. S. Javed and S. K. Jung, “Stochastic RPCA for Background/Foreground Detection”, Handbook on Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing, Part V, Chapter 3, CRC Press, Taylor and Francis Group, 2015.
Updates Coming Soon.....
1. Fall semester 2021: PG module ECCE 635: Deep Learning Systems Design.
2. Fall semester 2021: UG module ECCE 354: Operating Systems.
3. Spring semester 2022: UG module ECCE432: Human-Computer Interaction
4. Spring semester 2022: UG module ECCE 354: Operating Systems
Computer Vision for Underwater Surveillance [Principal Investigator (PI) funded from KU]
Networked Machine Learning for Diagnosing Thyroid Cancer [Co-PI funded from ASPIRE, Abu Dhabi]
I regularly review journal papers and conferences. In the past, I have reviewed papers for many journals and international conferences including
IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Industrial Electronics, IEEE Transactions on Multimedia, IEEE Transactions on Signal Processing, Pattern Recognition, Pattern Recognition Letters, Neurocomputing, Journal of Visual Communications and Image Representation, Computer Vision and Image Understanding, Journal of Electronic Imaging, Image and Vision Computing, Machine Vision and Applications, International Conference on Image Processing, International Conference on Pattern Recognition, IEEE Transactions on Evolutionary Computations.
I have organized competitions and the following computer vision workshops:
1st Workshop on Robust Subspace Learning and Computer Vision in conjunction with ICCV-2015.
2nd Workshop on Robust Subspace Learning and Computer Vision in conjunction with ICCV-2017.
3rd Workshop on Robust Subspace Learning and Computer Vision in conjunction with ICCV-2019.
Special Session on Dynamic Background Reconstruction/Subtraction in Challenging Environment, ICIP-2020.
Assistant Professor
Department of Computer Science
Khalifa University of Science & Technology
