Dr. Murtaza Taj
Associate Professor
Syed Babar Ali School of Science and Engineering
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 |
| Stereollax Net: Stereo Parallax-Based Deep Learning Network for Building Height Estimation | IEEE Transactions on Geoscience and Remote Sensing | Jabbar S., Taj M., | 2024 |
| Stereoential Net: Deep Network for??Learning Building Height Using Stereo Imagery | Communications in Computer and Information Science | 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 |
| Neural Network Pruning Through Constrained Reinforcement Learning | Proceedings - International Conference on Pattern Recognition | Malik S., Haider M.U., Iqbal O., Taj M., | 2022 |
| CAMERA CALIBRATION THROUGH CAMERA PROJECTION LOSS | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | Butt T.H., 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 |
| 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 |
| SPATIO-TEMPORAL CROP CLASSIFICATION ON VOLUMETRIC DATA | Proceedings - International Conference on Image Processing, ICIP | Qadeer M.U., Saeed S., Taj M., Muhammad 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 |
| COMPREHENSIVE ONLINE NETWORK PRUNING VIA LEARNABLE SCALING FACTORS | Proceedings - International Conference on Image Processing, ICIP | Haider M.U., Taj M., | 2021 |
| Multitask learning for autonomous driving | AI for Emerging Verticals: Human-robot computing, sensing and networking | Taj M., Abbas W., | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |