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Dr. Murtaza Taj
Associate Professor
Syed Babar Ali School of Science and Engineering
murtaza.taj@lums.edu.pk
  • Profile
  • Conferences, Publications and Journal Articles

Murtaza Taj earned his Ph.D. and M.Sc. degrees in electronic engineering and computer science from the Queen Mary University of London (QMUL), United Kingdom, in 2009 and 2005, respectively. Currently, he is an Assistant Professor at the Lahore University of Management Sciences, Syed Babar Ali School of Science and Engineering, Pakistan. He is also an adjunct faculty at the Ontario Tech University, Canada. His research interest lies in the area of Computer Vision, Graphics and Image Processing. In particular, he is interested in detection and tracking of object in 2D and 3D scenes and in automatic generation of 3D models from raw point cloud data. At LUMS he is a director of Computer Vision and Graphics Lab (a research group within LUMS computer science department) and a director of Technology for People Initiative (TPI) (a research and development group at LUMS that develop solution to leverage technology to catalyse development in the public sector and improve data accessibility to facilitate good governance. (See also: cvlab.lums.edu.pk).

Title Publication Author Year
CAMERA CALIBRATION THROUGH CAMERA PROJECTION LOSS ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2022
Neural Network Pruning Through Constrained Reinforcement Learning Proceedings - International Conference on Pattern Recognition 2022
Statistically correlated multi-task learning for autonomous driving Neural Computing and Applications 2021
SPATIO-TEMPORAL CROP CLASSIFICATION ON VOLUMETRIC DATA Proceedings - International Conference on Image Processing, ICIP 2021
Trash Detection on Water Channels Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
Multitask learning for autonomous driving AI for Emerging Verticals: Human-robot computing, sensing and networking 2021
COMPREHENSIVE ONLINE NETWORK PRUNING VIA LEARNABLE SCALING FACTORS Proceedings - International Conference on Image Processing, ICIP 2021
A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching IEEE Transactions on Geoscience and Remote Sensing 2020
Kiln-Net: A Gated Neural Network for Detection of Brick Kilns in South Asia IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
Machine-Learning Algorithms for Mapping Debris-Covered Glaciers: The Hunza Basin Case Study IEEE Access 2020
Point Cloud Segmentation Using Hierarchical Tree for Architectural Models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2019
Adaptively Weighted Multi-task Learning Using Inverse Validation Loss ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2019
Using 3D Residual Network for Spatio-temporal Analysis of Remote Sensing Data ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2019
Patch-based generative adversarial network towards retinal vessel segmentation Communications in Computer and Information Science 2019
Accurate Localization Algorithm in Wireless Sensor Networks in the Presence of Cross Technology Interference Communications in Computer and Information Science 2019
Cross-View Image Retrieval - Ground to Aerial Image Retrieval Through Deep Learning Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
Dimensionality reduction using discriminative autoencoders for remote sensing image retrieval Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
More for less: Insights into convolutional nets for 3D point cloud recognition Proceedings - International Conference on Image Processing, ICIP 2018
3D architectural modeling: Coarse-to-fine model fitting on point cloud ACM International Conference Proceeding Series 2016
Evaluation of Microsoft Kinect Sensor for Plant Health Monitoring IFAC-PapersOnLine 2016
2D articulated human pose tracking: A hybrid approach 2014 IEEE International Conference on Image Processing, ICIP 2014 2014
Efficient 2D human pose estimation using mean-shift 2014 IEEE International Conference on Image Processing, ICIP 2014 2014
2D human pose estimation and tracking in non-overlapping cameras Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors 2014
Simultaneous detection and tracking with multiple cameras Studies in Computational Intelligence 2013
Interaction recognition in wide areas using audiovisual sensors Proceedings - International Conference on Image Processing, ICIP 2012

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