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Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Jul 06, 2020
Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran


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SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Aug 20, 2019
Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran

* ICCV 2019 

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Benefiting from Multitask Learning to Improve Single Image Super-Resolution

Jul 29, 2019
Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran

* accepted at Neurocomputing (Special Issue on Deep Learning for Image Super-Resolution), 2019 

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Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

May 17, 2019
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazim Kemal Ekenel, Jean-Philippe Thiran

* 8 pages, 8 figures, 5 tables, accepted by FG 2019. arXiv admin note: substantial text overlap with arXiv:1905.00286 

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Learn to synthesize and synthesize to learn

May 01, 2019
Behzad Bozorgtabar, Mohammad Saeed Rad, Hazım Kemal Ekenel, Jean-Philippe Thiran

* Accepted to Computer Vision and Image Understanding (CVIU) 

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A Computer Vision System to Localize and Classify Wastes on the Streets

Oct 31, 2017
Mohammad Saeed Rad, Andreas von Kaenel, Andre Droux, Francois Tieche, Nabil Ouerhani, Hazim Kemal Ekenel, Jean-Philippe Thiran

* Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. pp 195-204. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham 

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