Selected Patents:
Sai Vishnu Aluru, Yun Qian Miao, Sravan Daruri, and Mohamed A. Naiel. "Methods and systems for color harmonization in surround view systems." US Patent App. 17/651,625. Aug. 2023. [Pending]
Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Ibrahim Ben Daya, Mark Lamm, and Paul Fieguth. "Device, system and method for enhancing one or more of high contrast regions and text regions in projected images." US Patent 11,109,005. Aug. 2021.
Book Chapters:
Zobeir Raisi, Mohamed A. Naiel, Georges Younes, Paul Fieguth, and John Zelek. "Smart text reader system for people who are blind Using machine and deep learning". John Wiley & Sons, Inc. Hoboken, NJ, USA, 2022, pp. 161–200.
Selected Journal Papers:
Deniz Sera Ertay, Mohamed A. Naiel, Mihaela Vlasea, and Paul Fieguth. “Process performance evaluation and classification via in-situ melt pool monitoring in directed energy deposition”. In: CIRP Journal of Manufacturing Science and Technology 35 (2021), pp. 298–314.
Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Ibrahim Ben Daya, Mark Lamm, and Paul Fieguth. "Non-stationary content-adaptive projector resolution enhancement." Signal Processing: Image Communication (2021): 116348. [PDF][Dataset][BibTex]
Mohamed A. Naiel, Deniz Sera Ertay, Mihaela Vlasea, and Paul Fieguth, "Adaptive Vision-based Detection of Laser-Material Interaction for Directed Energy Deposition", Additive Manufacturing, Vol. 36, Dec. 2020, pp 101468, [PDF] [Video][BibTex].
Mohamed A. Naiel, M. Omair Ahmad, and M.N.S. Swamy, "A vehicle detection scheme based on two-dimensional HOG features in the DFT and DCT domains", Multidimensional Systems and Signal Processing, Oct. 2019, Vol. 30, No. 4, pp 1697–1729. [PDF] [BibTex]
Mohamed A. Naiel, M. Omair Ahmad, M.N.S. Swamy, Jongwoo Lim, and Ming-Hsuan Yang, "Online multi-object tracking via robust collaborative model and sample selection", Computer Vision and Image Understanding, Vol. 154, pp. 94-107, Jan. 2017. [Webpage] [PDF] [Video] [BibTex] [Code]
Selected Conference Papers:
Sina Farsangi, Mohamed A. Naiel, Mark Lamm, and Paul Fieguth. “Efficient direct-block-address encoding for single-shot-based 3D reconstruction”. In: SID Symposium Digest of Technical Papers. Vol. 52. 1. 2021, pp. 1250–1253.
Zobeir Raisi, Mohamed A. Naiel, Georges Younes, Steven Wardell, and John Zelek. “2LSPE: 2D learnable sinusoidal positional encoding using Transformer for scene text recognition”. In: 18th Conference on Robots and Vision (CRV). IEEE. 2021, pp. 119–126.
Kasra Sadatsharifi, Mohamed A. Naiel, Mark Lamm, and Paul Fieguth. “Efficient model based grid intersection detection for single-shot 3D reconstruction”. In: 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE. 2021, pp. 1–6.
Zobeir Raisi, Mohamed A. Naiel, Georges Younes, Steven Wardell, and John S. Zelek, “Transformer-based Text Detection in the Wild”, CVPR Workshop 2021 [PDF][BibTex].
Bo Yuan Chang, Mohamed A. Naiel, Steven Wardell, Stan Kleinikkink, John S. Zelek, "Time-Series Causality with Missing Data", CVIS 2020. [PDF]
Sina Farsangi, Mohamed A. Naiel, Mark Lamm and Paul Fieguth, “Rectification Based Single-Shot Structured Light for Accurate and Dense 3D Reconstruction”, CVIS, 2020. [PDF] [Best Imaging Paper Award]
Sepehr Ghavam, Matthew Post, Mohamed A. Naiel, Mark Lamm, Paul Fieguth, "Constraints for Time-Multiplexed Structured Light with a Hand-held Camera", CVIS 2020. [PDF]
Katherine Arnold, Mohamed A. Naiel, Mark Lamm and Paul Fieguth, “Evaluation of Solving Methods for the Fundamental Matrix Computation”, CVIS, 2020. [PDF]
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth, Steven Wardell and John Zelek, “Challenges of Deep Learning-based Text Detection in the Wild”, CVIS, 2020. [PDF]
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth, Steven Wardell and John Zelek, “2D Positional Embedding-based Transformer for Scene Text Recognition”, CVIS, 2020. [PDF] [Best Vision Paper Award - Runner Up]
Kasra Sadatsharifi, Mohamed A. Naiel, Mark Lamm and Paul Fieguth, “Locally Adaptive Thresholding for Single-Shot Structured Light Patterns”, CVIS, 2020. [PDF]
Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, and Paul Fieguth, "RUNet: A Robust UNet Architecture for Image Super-Resolution", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019. [PDF] [Dataset]
Matthew Post, Paul Fieguth, Mohamed A. Naiel, Zohreh Azimifar, and Mark Lamm, "FRESCO: Fast Radiometric Egocentric Screen Compensation", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019. [PDF]
Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Mark Lamm, and Paul Fieguth, "Robust Visual Enhancement of Moving Contents in Projected Imagery", SID Symposium Digest of Technical Papers, Vol. 50, No. 1, pp. 1456-1459.
Matthew Post, Paul Fieguth, Mohamed A. Naiel, Zohreh Azimifar, and Mark Lamm, "Fast Radiometric Compensation for Nonlinear Projectors", Conference on Vision and Intelligent Systems (CVIS), Waterloo, Canada, November 2018. [PDF]
Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Ibrahim Ben Daya, Mark Lamm, and Paul Fieguth, "Text Enhancement in Projected Imagery", Conference on Vision and Intelligent Systems (CVIS), Waterloo, Canada, November 2018. [PDF]
Mohamed A. Naiel, M. Omair Ahmad, and M.N.S. Swamy, "Approximation of feature pyramids in the DCT domain and its application to pedestrian detection", IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, Canada, pp. 2711-2714, May 2016. [PDF] [BibTex]
Mohamed A. Naiel, M. Omair Ahmad, and M.N.S. Swamy, "Vehicle detection using approximation of feature pyramids in the DFT domain", 12th International Conference on Image Analysis and Recognition (ICIAR), Niagara Falls, Canada, pp. 429-436, Jul. 2015. [PDF] [Video] [BibTex]
Mohamed A. Naiel, M. Omair Ahmad, M.N.S. Swamy, Yi Wu, and Ming-Hsuan Yang, "Online multi-person tracking via robust collaborative model", 21st IEEE International Conference on Image Processing (ICIP), Paris, France, pp. 431 – 435, Oct. 2014. [PDF] [Video] [BibTex]
Mohamed A. Naiel, M. Omair Ahmad, and M.N.S. Swamy, "Vehicle detection using TD2DHOG features", 12th IEEE International New Circuits and Systems Conference (NEWCAS), Trois-Rivières, Canada, pp. 389-392, Jun. 2014. [PDF] [Video] [BibTex]
Mohamed A. Naiel, Moataz M. Abdelwahab, Motaz El-Saban, and Wasfy B. Mikhael, “Highly efficient human action recognition using compact 2DPCA-based descriptors in the spatial and transform domains”, IEEE 54th MWSCAS, Seoul, Korea, pp. 1 – 4, Aug. 2011. [PDF] [BibTex]
Mohamed A. Naiel, Moataz M. Abdelwahab, Motaz El-Saban, and Wasfy B. Mikhael, “Simultaneous human detection and action recognition employing 2DPCA-HOG”, IEEE 54th MWSCAS, Seoul, Korea, pp. 1 – 4, Aug. 2011. [PDF] [BibTex]
Mohamed A. Naiel, Moataz M. Abdelwahab, and Motaz El-Saban, ”Multi-view human action recognition employing 2DPCA”, IEEE WACV, Kona, Hawaii, pp. 270 - 275, Jan. 2011. [PDF] [Poster][BibTex]
Mohamed A. Naiel, Moataz M. Abdelwahab, and Wasfy B. Mikhael, “Human action recognition employing TD2DPCA and VQ“, IEEE 53rd MWSCAS, Seattle, Washington, USA, pp. 624 – 627, Aug. 2010. [PDF] [BibTex]
Mohamed A. Naiel, Moataz M. Abdelwahab, and Wasfy B. Mikhael, ”Human action recognition employing 2DPCA and VQ in the spatio-temporal domain”, IEEE 8th NEWCAS, Montreal, Canada, pp. 381-384, Jun. 2010. [PDF] [BibTex]
Mohamed A. Naiel, Salah A. Khamis, and Mohamed E. Nasr, ”Flexible realization scheme for streaming voice signals over IP networks”, IEEE NRSC, Tanta, Egypt, pp. 1-8, Mar., 2008.
Pre-prints:
Haonan Chen, Bo Yuan Chang, Mohamed A. Naiel, Georges Younes, StevenWardell, Stan Kleinikkink, and John S Zelek. "Causal discovery from sparse time-series data using echo state network". arXiv preprint arXiv:2201.02933. 2022.
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth, Steven Wardell, and John Zelek. "Text detection and recognition in the wild: A review". arXiv preprint arXiv:2006.04305. 2020.
Selected Poster Presentations:
Mohamed A. Naiel, M. Omair Ahmad, and M.N.S. Swamy "Pedestrian detection using approximation of feature pyramids in the transform domain", 2016 ECE Graduate Student Research (GSR) conference, Concordia University (Feb., 2016) [Second place award].
Mohamed A. Naiel, M. Omair Ahmad, and M.N.S. Swamy "Novel 2DHOG features in the transform domain for object detection in images", ReSMiQ Symposium at the 81th Acfas conference, Quebec City, Canada (May, 2013).
Invited Speaker:
Mohamed A. Naiel, "Approximation of feature pyramids in the transform domain for object detection", the 2nd Global Summit and Expo on Multimedia & Applications, London, UK, Aug. 15-16, 2016.