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Convolutional operator learning is gaining attention in many signal processing and computer vision applications.
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I. Y. Chun and J. A. Fessler, “Convolutional dictionary learning: Acceleration and convergence,” IEEE Trans. Image Process. , vol. 27, no. 4, pp. 1697–1712, Apr. 2018
2018
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G. T. Buzzard, S. H. Chan, S. Sreehari, and C. A. Bouman, “Plug-and-play unplugged: Optimization free reconstruction using consensus equilibrium,” SIAM J. Imaging Sci. , vol. 11, no. 3, pp. 2001–2020, Sep. 2018
2018
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I. Y. Chun and J. A. Fessler, “Deep BCD-net using identical encoding-decoding CNN structures for iterative image recovery,” in Proc. IEEE IVMSP Workshop , Zagori, Greece, Jun. 2018, pp. 1–5
2018
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I. Y. Chun, H. Lim, Z. Huang, and J. A. Fessler, “Fast and convergent iterative signal recovery using trained convolutional neural networkss,” in Proc. Allerton Conf. on Commun., Control, and Comput. , Allerton, IL, Oct. 2018, pp. 155–159
2018
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I. Y. Chun and J. A. Fessler, “Convolutional analysis operator learning: Application to sparse-view CT,” in Proc. Asilomar Conf. on Signals, Syst., and Comput. , Pacific Grove, CA, Oct. 2018, pp. 1631–1635
2018
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H. Lim, J. A. Fessler, Y. K. Dewaraja, and I. Y. Chun, “Application of trained Deep BCD-Net to iterative low-count PET image reconstruction,” in Proc. IEEE NSS-MIC , Sydney, Australia, Nov. 2018, pp. 1–4
2018
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2018
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C. J. Blocker, I. Y. Chun, and J. A. Fessler, “Low-rank plus sparse tensor models for light-field reconstruction from focal stack data,” in Proc. IEEE IVMSP Workshop , Zagori, Greece, Jun. 2018, pp. 1–5
2018
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I. Y. Chun and J. A. Fessler, “Convolutional dictionary learning: Acceleration and convergence,” IEEE Trans. Image Process. , vol. 27, no. 4, pp. 1697–1712, Apr. 2018
2018
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I. Y. Chun and J. A. Fessler, “Convolutional analysis operator learning: Application to sparse-view CT,” in Proc. Asilomar Conf. on Signals, Syst., and Comput. , Pacific Grove, CA, Oct. 2018, pp. 1631–1635
2018
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S. Arridge, P. Maass, O. Öktem, and C.-B. Schönlieb, “Solving inverse problems using data-driven models,” Acta Numer. , vol. 28, pp. 1–174, May 2019
2019
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C. Crockett, D. Hong, I. Y. Chun, and J. A. Fessler, “Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems,” in Proc. IEEE Workshop CAMSAP (submitted) , Jul. 2019
2019
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2019
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I. Y. Chun, X. Zheng, Y. Long, and J. A. Fessler, “BCD-Net for low- dose CT reconstruction: Acceleration, convergence, and generalization,” in Proc. Med. Image Computing and Computer Assist. Interven. (to appear) , Shenzhen, China, Oct. 2019
2019
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I. Y. Chun, “CONVOLT: CONVolutional Operator Learning Toolbox (for Matlab),” [GitHub repository] https://github.com/mechatoz/convolt
2019
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2019
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