Maryam Jameela has started her doctorate program in the fall, 2018. Her research focuses on computer vision, deep learning, mobile mapping systems, and airborne LiDAR system.
Maryam is part of 3D Mobile Mapping Artificial Intelligence (3DMMAI) project, which is supported by the NSERC (Natural Sciences and Engineering Research Council of Canada) Collaborative Research Development (CRD) program and Teledyne Optech in Toronto and Intelligent Systems for Sustainable Urban Mobility (ISSUM) funded by Ontario Research Fund, York University, University of Waterloo, and private sector partners (Esri Canada, Fugro Roadware, Miovision, Mircom, Teledyne Optech, Exascale Solutions, Trans-Plan).
Experience
- Sep, 2018–2023: Graduate Research Assistant, GeoICT/ AUSMLab, York University Canada
- Aug, 2019–April, 2020: Intern, Teledyne Optech, Canada
- Jun, 2015–Dec, 2016: Graduate Research Assistant, CEFAR & SAVe Lab, National University of Science and Technology, Pakistan
- Mar, 2015–April, 2015: Research Assistant, Semantic System Research Group, National University of Science and Technology, Pakistan
- Sep , 2018–2023: Teaching Assistant, York University, Canada
- Mar, 2018–Sep, 2018: Lecturer, Department of Computer Science, BUITEMS, Pakistan
- Sep, 2009–Jan, 2017: Teaching Assistant, National University of Sciences and Technology, Pakistan
- Oct, 2015–Feb, 2018: Software/ Web Designer & Webmaster. Science and IT Department, Government of Balochistan, Pakistan
- Mar, 2014–Feb, 2015: Mobile Application Developer, Software Productivity Strategist, Inc.
Publications (6)
2024
- Jameela, M., Sohn, G. (2024). NSANet: Noise-Seeking Attention Network. IEEE JSTARS, 17, 13708–13724.
2023
- Yoo, S., Jeong, Y., Jameela, M., and Sohn, G. (2023). Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 6577-6586.
- Jameela, M., Sohn, G., and Yoo, S. (2023). Fusion-SUNet: Spatial Layout Consistency for 3D Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 6568-6576.
- Jameela, M. and Sohn, G. (2023). PAN-SUNet: Utility Corridor Understanding Using Spatial Layout Consistency. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
- Jameela, M. and Sohn, G. (2023). Spatial Layout Consistency for 3D Semantic Segmentation. Pattern Recognition, Computer Vision, and Image Processing (ICPR 2022 Workshops), 386-400.
2020
- Jameela, M., Chen, L., Sit, A., Yoo, J., Verheggen, C., and Sohn, G. (2020). Simulation-based Data Augmentation Using Physical Priors for Noise Filtering Deep Neural Network. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.