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Parsa Mirdehghan
Parsa Mirdehghan
PhD Candidate, University of Toronto
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Optimal structured light a la carte
P Mirdehghan, W Chen, KN Kutulakos
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
492018
Auto-Tuning Structured Light by Optical Stochastic Gradient Descent
W Chen*, P Mirdehghan*, S Fidler, KN Kutulakos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
252020
Appearance capture and modeling of human teeth
Z Velinov, M Papas, D Bradley, P Gotardo, P Mirdehghan, S Marschner, ...
ACM Transactions on Graphics (TOG) 37 (6), 1-13, 2018
222018
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
A Malik, P Mirdehghan, S Nousias, KN Kutulakos, DB Lindell
arXiv preprint arXiv:2307.09555, 2023
142023
METHOD AND SYSTEM FOR OPTIMIZING DEPTH IMAGING
KN Kutulakos, P Mirdehghan, W Chen
US Patent App. 17/050,881, 2021
42021
TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
P Mirdehghan, M Wu, W Chen, DB Lindell, KN Kutulakos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
Coherent Optical Modems for Full-Wavefield Lidar
P Mirdehghan, B Buscaino, M Wu, D Charlton, ME Mousa-Pasandi, ...
arXiv preprint arXiv:2406.08439, 2024
2024
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction–Supplementary Material–
A Malik, P Mirdehghan, S Nousias, KN Kutulakos, DB Lindell
2023
METHOD AND SYSTEM FOR OPTIMIZING DEPTH IMAGING
KN Kutulakos, SP Mirdehghan, W Chen
US Patent App. 17/657,243, 2022
2022
TurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured Light: Supplemental Document
P Mirdehghan, M Wu, W Chen, DB Lindell, KN Kutulakos
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