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GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution.

Y. Li, Z. Yang, X. Mao, Y. Wang, Q. Li, W. Liu, and Y. Wang. CGI, volume 11542 of Lecture Notes in Computer Science, page 395-401. Springer, (2019)

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Self-attention StarGAN for Multi-domain Image-to-Image Translation.Z. He, Z. Yang, X. Mao, J. Lv, Q. Li, and W. Liu. ICANN (3), volume 11729 of Lecture Notes in Computer Science, page 537-549. Springer, (2019)Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy.T. Jin, H. Xie, J. Lei, Q. Li, X. Li, X. Mao, and Y. Rao. Web Intelligence, page 367-372. IEEE Computer Society, (2013)Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning.Y. Ma, X. Mao, Y. Chen, and Q. Li. WISE, volume 11881 of Lecture Notes in Computer Science, page 115-129. Springer, (2019)Multi-branch Semantic Learning Network for Text-to-Image Synthesis.J. Ling, X. Wu, Z. Yang, X. Mao, Q. Li, and W. Liu. MMAsia, page 37:1-37:5. ACM, (2021)Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China.J. Bai, Q. Cui, D. Chen, H. Yu, X. Mao, L. Meng, and Y. Cai. Remote Sensing, 10 (8): 1302 (2018)Multi-Task Learning for Abstractive and Extractive Summarization.Y. Chen, Y. Ma, X. Mao, and Q. Li. Data Science and Engineering, 4 (1): 14-23 (2019)Recent advances in semantic computing and personalization.H. Xie, F. Wang, X. Mao, K. Li, Q. Li, and H. Wang. Neurocomputing, (2017)Sentiment topic models for social emotion mining.Y. Rao, Q. Li, X. Mao, and L. Wenyin. Inf. Sci., (2014)Least Squares Generative Adversarial Networks.X. Mao, Q. Li, H. Xie, R. Lau, Z. Wang, and S. Smolley. ICCV, page 2813-2821. IEEE Computer Society, (2017)Popularity Tendency Analysis of Ranking-Oriented Collaborative Filtering from the Perspective of Loss Function.X. Mao, Q. Li, H. Xie, and Y. Rao. DASFAA (1), volume 8421 of Lecture Notes in Computer Science, page 451-465. Springer, (2014)

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GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution.

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Other publications of authors with the same name

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GAN with Pixel and Perceptual Regularizations for Photo-Realistic Joint Deblurring and Super-Resolution.