May 4, 2019
See this panel discussion in IMVC 2019 on the future of Deep LearningIMVC (Israel Machine Vision Conference) 2019 was held on March 18th, featuring lectures from the industry and the academia. I took part in a panel in this event, discussing the impact of deep learning on our field and its future prospects. My main message can be summarised by the following points:
- Deep learning is "dark magic" and much work on the theoretical side is needed to change this.
- Research activities in the industry and the academia are substantially different in their objectives. Papers from the academia should focus much more on explaining and bringing new insights and less so on problem solving for actual applications.
- Image processing and Computer Vision will have a massive come back, once deep learning solutions hit a performance wall.
December 1, 2018
I have been awarded 2018 IEEE SPS Sustained Impact Paper AwardThe Sustained Impact Paper Award of the IEEE Signal Processing Soceity (SPS) honors the authors of a journal article of broad interest that has had sustained impact over many years on a subject related to the Society’s technical scope. This award recipients for 2018 are Michal Aharon, Michael Elad, and Alfred Bruckstein, for their paper: “K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation,” IEEE Transactions on Signal Processing, vol. 54, no. 11, November 2006.
December 1, 2018
I have been awarded a 2018 IEEE SPS Best Paper AwardSix Best Paper Awards are given in 2018 by the IEEE Signal Processing Society (SPS), honoring the author(s) of a paper of exceptional merit dealing with a subject related to the Society’s technical scope and appearing in one of the Society’s transactions. This year, one of these papers is: Ron Rubinstein, Tomer Peleg, and Michael Elad, "Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model" IEEE Transactions on Signal Processing, Volume 61, No. 3, February 2013.
December 1, 2018
I have been awarded the 2018 IEEE SPS Technical Achievement AwardThe Claude Shannon – Harry Nyquist Technical Achievement Award of the IEEE Signal Processing Soceity (SPS) is presented this year (2018) to Michael Elad “for contributions to sparsity-based signal processing.” This award honors a person who, over a period of years, has made outstanding technical contributions to theory and/ or practice in technical areas within the scope of the Society, as demonstrated by publications, patents, or recognized impact on this field.
November 27, 2018
I have been selected (again) as a Clarivate Analytics Highly Cited ResearcherI have been selected (again) as a 2018 Clarivate Analytics (formerly Thompson-Reuters) Highly Cited Researcher. This list contains about 6000 scientists in various disciplines which represent the top 1% in their respective fields. Interestingly, only 18 of this list are from Israel, and I am the only Israeli representing the sub-field "Engineering". More on this list can be found here.
October 5, 2018
Co-charing SIAM Imaging Sciences 2020 in TorontoThe SIAM-Imaging Sciences event, IS20, is scheduled to be held in Toronto in conjunction with the SIAM annual meeting during the week of July 6-10, 2020. Together with Stacey Levine, I will be chairing this meeting.
June 5, 2018
2018 JVCI Best Paper AwardOur paper on Poisson inverse problems (with Arik Rond and Raja Giryes) has been announced as the winner of the 2018 JVCI Best Paper Award Honorable Mention.
March 29, 2018
I have been selected as a Fellow of the Society for Industrial and Applied Mathematics (SIAM Fellow)This fellowship honors SIAM members who have made outstanding contributions to the fields served by this organization. I am among a distinguished group of members nominated by our peers and selected for the 2018 Class of Fellows
October 1, 2017
I am happy to bring to your attention a new Massive Open Online Course (MOOC)I am happy to bring to your attention a new Massive Open Online Course (MOOC) that Yaniv Romano (my PhD student) and I have constructed on Sparse Representations. Here is the link under the edX webpage. This course will open formally on October 25th this year. It is built of two 5 weeks parts, the first presents the basic theoretical ideas of sparse representations, and the other connects this model to applications in image processing. In this course we are essentially following the content of my book. We will be delighted to see you joining our course, which could provide you with a pleasant introduction to our field.
July 8, 2017