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Sajid Javed

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Dr. Sajid Javed

TIA Lab
Room: 3.02
Tel: (+) 44 7448120608
Email: S dot Javed dot 1 at warwick dot ac dot uk



Research Interests



My main research interests are the detection, segmentation, and classification of nuclei structure from histopathological whole slide images for better cancer grading and prognostication. I am actively working on the graph-based features using spatial arrangement of different cellular components for the accurate identification of different tissue phenotypes which assists pathologists in the diagnosis of early stage colorectal cancer in UK. Based on the large-graph analytics, my work is mainly focused to predict the survival rate in routine colon histology images. Before joining the TIA Lab in the Department of Computer Science, University of Warwick, I was actively working on Robust Principle Component Analysis, Robust Matrix Completion, Subspace Clustering, Background Modeling, Background Subtraction, Moving Object Detection, Foreground Segmentation, Video Surveillance and Analysis, Salient object detection, Visual Object Tracking using Low-rank and Sparse tracking, Object Tracking using Deep Learning, and Medical Image Analysis.

Current Project

I am currently working on a Mircro-Community Analytics for Histology Landscapes (MiCAHiL) project for the identification of tumor community in whole slide images.

Biography

Sajid Javed is currently a Post-doctoral research fellow in the Department of Computer Science, University of Warwick, United Kingdom, from October, 2017. Dr. Sajid is working actively on MiCAHiL project under the supervision of Prof. Nasir Rajpoot at TIA Lab. Before joining the TIA Lab, he obtained his Bs.c (hons) degree in Computer Science from University of Hertfordshire, UK, in 2010. He joined the Virtual Reality Laboratory of Kyungpook National University, Republic of Korea, in 2012 where he completed his combined Master's and Doctoral degrees in Computer Science under the supervision of Prof. Soon Ki Jung and co-supervision of Prof. Thierry Bouwmans from MIA Lab, France in 2017. Dr. Sajid has co-authored about 30 publications, this includes several journals and international conferences publications in the area of Robust Principal Component Analysis for Background-Foreground Modeling.

Publications

Journal Publications

Thierry Bouwmans, Sajid Javed, Maryam Sultana, and Soon Ki Jung, Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation, Neural Networks (NN), November 2018 [Submitted].

Sajid Javed, Arif Mahmood, Somaya Al-Madeed, Thierry Bouwmans, and Soon Ki Jung, Moving Object Detection in Complex Scenes Using Spatiotemporal Structured-Sparse RPCA, IEEE Transactions on Image Processing (T-IP), September, 2018.

Sajid Javed, Arif Mahmmod, Thierry Bouwmans, and Soon Ki Jung, Spatiotemporal Low-rank Modeling for Complex Scene Background Initialization, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), July, 2018.

Namrata Vaswami, Thierry Bouwmans, Sajid Javed, and Praneeth Narayanamurthy, Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery, IEEE Signal Processing Magazine (IEEE SPM), June, 2018.

Thierry Bouwmans, Sajid Javed, Hongyang Zhang, Zhouchen Lin, and Ricardo Otazo, On the Applications of Robust PCA in Image and Video Processing, Proceedings of the IEEE Journal, July, 2018.

Mustansar Fiaz, Arif Mahmood, Sajid Javed, and Soon Ki Jung, Handcrafted and Deep Feature Trackers: A Review on Recent Visual Object Tracking Algorithms, ACM Computing Surveys, June, 2018 [Under Review].

Maryam Sultana, Arif Mahmood, Sajid Javed, and Soon Ki Jung, Unsupervised Deep Context Prediction for Background Estimation and Foreground Segmentation, Machine Vision and Applications (MVA), October, 2018 [Accepted].

Sajid Javed, Arif Mahmood, Thierry Bouwmans, and Soon Ki Jung, Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering, IEEE Transactions on Image Processing (IEEE T-IP), August, 2017.

Thierry Bouwmans, Andrews Sobral, Sajid Javed, El-Hadi ZahZah, and Soon Ki Jung, Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset, Computer Science Reviews (CSR), December, 2016.

Maryam Sultana, Naeem Bhatti, Sajid Javed, and Soon Ki Jung, Local Binary Pattern Variants based Adaptive Texture Features Analysis for Posed and Non-posed Facial Expression Recognition, Journal of Electronic Imaging (JEI), August, 2017.

Sajid Javed, Seon Ho Oh, Thierry Bouwmans, and Soon Ki Jung, Robust Background Subtraction to Global Illumination Changes via Multiple Features based OR-PCA with MRF, Journal of Electronic Imaging (JEI), August, 2015.

Ph. D Thesis

Sajid Javed and Soon Ki Jung, Structured Low-rank RPCA for Background-Foreground Separation, Digital Library of Kyungpook National University, August, 2017.

Book Chapter

Sajid Javed, Thierry Bouwmans, Seon Ho Oh, and Soon Ki Jung, Stochastic RPCA for Background/Foreground Separation, Handbook of Robust Low-Rank and Sparse Matrix Decomposition Applications in Image and Video Processing, January, 2016.

Conference Publications

Sajid Javed, Moazam Fraz, David Snead, David Epstein, and Nasir Rajpoot, Cellular Community Detection for Tissue Phenotyping in Histology Images, Computational Pathology (ComPay) Workshop in Conjunction with Medical Image Computing and Computer-Assisted Intervention (MICCAI), September, 2018.

Maryam Sultana, Arif Mahmood, Sajid Javed, and Soon Ki Jung, Unsupervised RGB-D Video Segmentation Using GANs, Asian Conference on Computer Vision (ACCV), December 2018.

Sajid Javed, Praneeth Narayanamurthy, Thierry Bouwmans, and Namrata Vaswami, Robust PCA and Robust Subspace Tracking: A Comparative Evaluation, IEEE Special Session on Signal Processing, June, 2018.

Mustansar Fiaz, Sajid Javed, Arif Mahmood, and Soon Ki Jung, Comparative Study of ECO and CFnet Trackers in Noisy Environment, 3rd International Conference on Next Generation Computing, January, 2018.

Sajid Javed, Arif Mahmood, Thierry Bouwmans, and Soon Ki Jung, Superpixels-based Manifold Structured Sparse RPCA for Moving Object Detection, British Machine Vision Conference (BMVC), September, 2017.

Sajid Javed, Maryum Sultana, Thierry Bouwmans, and Soon Ki Jung, Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA, International Conference on Image Analysis and Processing (ICIAP), September, 2017.

Sajid Javed, Thierry Bouwmans, and Soon Ki Jung, SBMI-LTD: Stationary Background Model Initialization based on Low-rank Tensor Decomposition, ACM Symposium on Applied Computing (SAC), April, 2017.

Sajid Javed, Thierry Bouwmans, and Soon Ki Jung, Improving OR-PCA via Smoothed Spatially-Consistent Low-rank Modeling for Background Subtraction, ACM Symposium on Applied Computing (SAC), April, 2017.

Sajid Javed, Arif Mahmood, Thierry Bouwmans, and Soon Ki Jung, Motion-Aware Graph Regularized RPCA for Background Modeling of Complex Scenes, IEEE International Conference on Pattern Recognition (ICPR), December, 2016.

Andrews Sobral, Sajid Javed, El-Hadi ZahZah, Soon Ki Jung, and Thierry Bouwmans, Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences, RSL-CV workshop in conjunction with ICCV, 2015.

Sajid Javed, Thierry Bouwmans, and Soon Ki Jung, Background Subtraction via Superpixel-Based Online Matrix Decomposition with Structured Foreground Constraints, RSL-CV workshop in conjunction with ICCV, 2015.

Sajid Javed, Thierry Bouwmans, and Soon Ki Jung, Combining ARF and OR-PCA for Robust Background Subtraction of Noisy Videos, International Conference on Image Analysis and Processing (ICIAP), September, 2015.

Sajid Javed, Thierry Bouwmans, and Soon Ki Jung, Stochastic Decomposition into Low Rank and Sparse Tensor for Robust Background Subtraction, IEEE International Conference on Crime Detection and Prevention, July, 2015.

Sajid Javed, Andrews Sobral, Thierry Bouwmans, and Soon Ki Jung, OR-PCA with Dynamic Feature Selection for Robust Background Subtraction, ACM Symposium on Applied Computing (SAC), April, 2015.

Sajid Javed, Andrews Sobral, Thierry Bouwmans, and Soon Ki Jung, Depth Extended Online RPCA with Spatiotemporal constraints for Robust Background Subtraction, IEEE International Korea-Japan Joint Conference on Frontiers of Computer Vision (FCV), January, 2015.

Sajid Javed, Andrews Sobral, Thierry Bouwmans, and Soon Ki Jung, OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds, 12th Asian Conference on Computer Vision (ACCV), October, 2015.

Sajid Javed, Seon Ho Oh, and Soon Ki Jung, Robust Background Subtraction via Online Robust PCA using Image Decomposition, Research in Adaptive Sytems (RACS), September, 2014.

Sajid Javed, Seon Ho Oh, and Soon Ki Jung, IPBAS: Improved Pixel Based Adaptive Background Segmenter for Background Subtraction, Human Computer Interaction (HCI), 2014.

Sajid Javed, Seon Ho Oh, and Soon Ki Jung, Foreground Object Detection and Tracking for Visual Surveillance System: A Hybrid Approach, International Conference on Frontiers of International Technology (FIT), 2013.

Sajid Javed, Seon Ho Oh, and Soon Ki Jung, An Implementation of Background Subtraction Algorithm for Visual Surveillance, Korean Institure of Information System (KISS), 2013.

Sajid Javed, Seon Ho Oh, and Soon Ki Jung, Foreground Object Detection via Background Modeling using Histograms of Oriented Gradient, Human Computer Interaction (HCI), 2014.

Synergistic Activities

I regularly review papers for the following journals and international conferences:

(1) IEEE Transactions on Pattern Analysis and Machine Intelligence. (2) IEEE Transactions on Image Processing. (3) IEEE Transactions on Circuits and Systems for Video Technology. (4) IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). (5) IEEE Signal Processing Letters. (6) International Journal of Computer Vision. (7) IEEE Transactions on Evolutionary Computation. (8) IEEE Journal of Selected Topics in Signal Processing. (9) IEEE Transactions on Neural Networks and Learning Systems. (10) CVPR. (11) ACCV. (12) ICCV. (13) ICPR. (14) BMVC.

Collaborators

Thierry Bouwmans, Soon Ki Jung, Arif Mahmood, Maryam Sultana, Andrews Sobral, Carolina Silva Pacheco.


My lab Logo

Tissue Image Analytics (TIA) Laboratory, Department of Computer Science, University of Warwick, United Kingdom.
Google Scholar Profile

Telphone No: (+) 44 24 7652 3193 with ext of 73789.