Tomer Michaeli
About
Tomer Michaeli has authored 53 papers that have received a total of 1.3k indexed citations.
This includes 24 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Computational Mechanics. The topics of these papers are Image and Signal Denoising Methods (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Generative Adversarial Networks and Image Synthesis (8 papers). Tomer Michaeli is often cited by papers focused on Image and Signal Denoising Methods (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Generative Adversarial Networks and Image Synthesis (8 papers) and collaborates with scholars based in Israel, United States and Japan. Tomer Michaeli's co-authors include Yoav Shechtman, Yonina C. Eldar, Lucien E. Weiss, Elias Nehme and Daniel Z. Freedman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Methods and IEEE Transactions on Automatic Control
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