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
An exploratory deep learning approach to investigate tuberculosis pathogenesis in nonhuman primate model: Combining automated radiological analysis with clinical and biomarkers data Journal of Medical Primatology Yaseen F., Taj M., Ravindran R., Zaffar F., Luciw P.A., Ikram A., Zafar S.I., Gill T., Hogarth M., Khan I.H., 2024
Stereoential Net: Deep Network for??Learning Building Height Using Stereo Imagery Communications in Computer and Information Science Jabbar S., Taj M., 2024
Stereollax Net: Stereo Parallax-Based Deep Learning Network for Building Height Estimation IEEE Transactions on Geoscience and Remote Sensing Jabbar S., Taj M., 2024
Detection of Illegal Kiln Activity during SMOG Period 2023 International Conference on Robotics and Automation in Industry, ICRAI 2023 Nazir U., Ather M.A., Taj M., 2023
CAMERA CALIBRATION THROUGH CAMERA PROJECTION LOSS ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Butt T.H., Taj M., 2022
Neural Network Pruning Through Constrained Reinforcement Learning Proceedings - International Conference on Pattern Recognition Malik S., Haider M.U., Iqbal O., Taj M., 2022
Statistically correlated multi-task learning for autonomous driving Neural Computing and Applications Abbas W., Khan M.F., Taj M., Mahmood A., 2021
Trash Detection on Water Channels Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Tharani M., Amin A.W., Rasool F., Maaz M., Taj M., Muhammad A., 2021
Multitask learning for autonomous driving AI for Emerging Verticals: Human-robot computing, sensing and networking Taj M., Abbas W., 2021
SPATIO-TEMPORAL CROP CLASSIFICATION ON VOLUMETRIC DATA Proceedings - International Conference on Image Processing, ICIP Qadeer M.U., Saeed S., Taj M., Muhammad A., 2021
Teacher-Class Network: A Neural Network Compression Mechanism 32nd British Machine Vision Conference, BMVC 2021 Malik S.M., Tharani M., Haider M.U., Rasheed M.M., Taj M., 2021
COMPREHENSIVE ONLINE NETWORK PRUNING VIA LEARNABLE SCALING FACTORS Proceedings - International Conference on Image Processing, ICIP Haider M.U., Taj M., 2021
A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching IEEE Transactions on Geoscience and Remote Sensing Khurshid N., Tharani M., Taj M., Qureshi F.Z., 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 Nazir U., Mian U.K., Sohail M.U., Taj M., Uppal M., 2020
Machine-Learning Algorithms for Mapping Debris-Covered Glaciers: The Hunza Basin Case Study IEEE Access Khan A.A., Jamil A., Hussain D., Taj M., Jabeen G., Malik M.K., 2020
Using 3D Residual Network for Spatio-temporal Analysis of Remote Sensing Data ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Bhimra M.A., Nazir U., Taj M., 2019
Point Cloud Segmentation Using Hierarchical Tree for Architectural Models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Hassaan O., Shamail A., Butt Z., Taj M., 2019
Adaptively Weighted Multi-task Learning Using Inverse Validation Loss ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Abbas W., Tap M., 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) Mohbat, Mukhtar T., Khurshid N., Taj M., 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) Khurshid N., Hanif T., Tharani M., Taj M., 2019
Accurate Localization Algorithm in Wireless Sensor Networks in the Presence of Cross Technology Interference Communications in Computer and Information Science Nazir U., Naqvi I.H., Taj M., 2019
Patch-based generative adversarial network towards retinal vessel segmentation Communications in Computer and Information Science Abbas W., Shakeel M.H., Khurshid N., Taj M., 2019
More for less: Insights into convolutional nets for 3D point cloud recognition Proceedings - International Conference on Image Processing, ICIP Shafiq U., Taj M., Ali M., 2017
3D architectural modeling: Coarse-to-fine model fitting on point cloud ACM International Conference Proceeding Series Bajwa R., Gilani S.R., Taj M., 2016
Evaluation of Microsoft Kinect Sensor for Plant Health Monitoring IFAC-PapersOnLine Nasir A.K., Taj M., Khan M.F., 2016