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ORCID21st Computational Imaging 2023: San Francisco, CA, USA
- Computational Imaging XXI, San Francisco, CA, USA, January 15-19, 2023. Society for Imaging Science and Technology 2023
Article
- Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun
:
Practical phase retrieval using double deep image priors. 1-6 - Jieyu Li, Ruiwen Zhen, Robert L. Stevenson:
A lightweight exposure bracketing strategy for HDR imaging without access to camera raw. 1-6 - Damien Boildieu, David Helbert, Amandine Magnaudeix, Philippe Leproux, Philippe Carré:
Multivariate curve resolution with autoencoders for CARS microspectroscopy. 1-4 - Thomas L. Burnett, Justin Halter, Justin Jensen:
BowTie rasterization for extreme multi-view light-field displays. 1-6 - Canberk Ekmekci, Müjdat Çetin:
Automatic parameter tuning for plug-and-play algorithms using generalized cross validation and Stein's unbiased risk estimation for linear inverse problems in computational imaging. 170-1 - Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Ultrasound elasticity reconstruction with inaccurate forward model using integrated data-driven correction of data-fidelity gradient. 171-1 - Prasanna Reddy Pulakurthi, Sohail A. Dianat, Majid Rabbani, Suya You, Raghuveer M. Rao:
A globally optimal fast iterative linear maximum likelihood classifier. 1-5 - Anup Hiremath, Avideh Zakhor:
Multimodal contrastive learning for unsupervised video representation learning. 1-6
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