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Compressive sensing super resolution from multiple observations with application to passive millimeter wave images.

, , , , and . Digital Signal Processing, (2016)

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Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging., , , and . ICIP, page 925-928. IEEE, (2012)Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution., , , and . ICIP, page 51-55. IEEE, (2018)Scalable and efficient learning from crowds with Gaussian processes., , , , and . Information Fusion, (2019)Robust and Low-Rank Representation for Fast Face Identification With Occlusions., , , and . IEEE Trans. Image Processing, 26 (5): 2203-2218 (2017)Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements., , and . IEEE Trans. Signal Processing, 63 (7): 1779-1791 (2015)Audiovisual Fusion: Challenges and New Approaches., , and . Proceedings of the IEEE, 103 (9): 1635-1653 (2015)Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation., , and . IEEE Trans. Image Processing, 17 (3): 326-339 (2008)Variational Bayesian Super Resolution., , and . IEEE Trans. Image Processing, 20 (4): 984-999 (2011)Bayesian Reconstruction of Color Images Acquired with a Single CCD., , and . IbPRIA (1), volume 3522 of Lecture Notes in Computer Science, page 343-350. Springer, (2005)Learning filters in Gaussian process classification problems., , , and . ICIP, page 2913-2917. IEEE, (2014)