Mehdi Rezagholizadeh
Mehdi Rezagholizadeh
Senior Research Scientist, Noah's Ark Lab, Huawei Technologies
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Cited by
Cited by
A computer tracking system of solar dish with two-axis degree freedoms based on picture processing of bar shadow
H Arbab, B Jazi, M Rezagholizadeh
Renewable Energy 34 (4), 1114-1118, 2009
EditNTS: An neural programmer-interpreter model for sentence simplification through explicit editing
Y Dong, Z Li, M Rezagholizadeh, JCK Cheung
Proceedings of the 57th Annual Meeting of the Association for Computationalá…, 2019
Semi-supervised regression with generative adversarial networks
M Rezagholizadeh, MA Haidar, D Wu
US Patent App. 15/789,518, 2018
Edge-based and efficient chromaticity spatio-spectral models for color constancy
M Rezagholizadeh, JJ Clark
2013 International Conference on Computer and Robot Vision, 188-195, 2013
Textkd-gan: Text generation using knowledge distillation and generative adversarial networks
MA Haidar, M Rezagholizadeh
Canadian Conference on Artificial Intelligence, 107-118, 2019
Maximum entropy spectral modeling approach to mesopic tone mapping
M Rezagholizadeh, JJ Clark
Color and Imaging Conference 2013 (1), 154-159, 2013
Salsa-text: self attentive latent space based adversarial text generation
J Gagnon-Marchand, H Sadeghi, MA Haidar, M Rezagholizadeh
Canadian Conference on Artificial Intelligence, 119-131, 2019
Photon detection and color perception at low light levels
M Rezagholizadeh, JJ Clark
2014 Canadian Conference on Computer and Robot Vision, 283-290, 2014
Fully quantized transformer for improved translation
G Prato, E Charlaix, M Rezagholizadeh
arXiv preprint arXiv:1910.10485, 2019
A Retargeting Approach for Mesopic Vision: Simulation and Compensation
M Rezagholizadeh, T Akhavan, A Soudi, H Kaufmann, JJ Clark
Imaging Science and Technology 60 (1), 10410-1-10410, 2016
Multi criteria decision making (MCDM): A modified partial order theory (POT) approach
M Rezagholizadeh, A Fereidunian, B Dehghan, B Moshiri, H Lesani
2011 3rd International Conference on Advanced Computer Control, 650-655, 2011
Latent code and text-based generative adversarial networks for soft-text generation
M Haidar, M Rezagholizadeh, A Do-Omri, A Rashid
Proceedings of the 2019 Conference of the North American Chapter of theá…, 2019
Bilingual-GAN: A Step Towards Parallel Text Generation
A Rashid, A Do-Omri, M Haidar, Q Liu, M Rezagholizadeh
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neuralá…, 2019
22‐2: Invited Paper: Irystec DriveSafe, Ambient Adaptive Software, Makes Driving Safer
A Soudi, M Rezagholizadeh, T Akhavan
SID Symposium Digest of Technical Papers 47 (1), 267-270, 2016
Self-training method and system for semi-supervised learning with generative adversarial networks
D Wu, MA Haidar, M Rezagholizadeh, A Do-Omri
US Patent App. 15/789,628, 2019
A fuzzy multi-criteria approach for IT infrastructure selection in power distribution automation using revised AHP and TOPSIS
M Rezagholizadeh, A Fereidunian, EM Shahrivar, B Moshiri, H Lesani
제어로봇시스템학회 국제학술대회 논문집, 979-984, 2011
Latent Space and Text-Based Generative Adversarial Networks (LATEXT-GANs) for Text Generation
MA Haidar, M Rezagholizadeh
US Patent App. 16/175,373, 2020
Systems and methods for multilingual text generation field
M Rezagholizadeh, MA Haidar, A Do-Omri, A Rashid
US Patent App. 16/143,128, 2020
Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition
A Bie, B Venkitesh, J Monteiro, M Haidar, M Rezagholizadeh
arXiv preprint arXiv:1911.03604, 2019
Image sensor modeling: color measurement at low light levels
M Rezagholizadeh, JJ Clark
Color and Imaging Conference 2014 (2014), 265-275, 2014
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