Yaniv Romano

2.3k total citations · 1 hit paper
23 papers, 1.2k citations indexed

About

Yaniv Romano is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Yaniv Romano has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 7 papers in Media Technology. Recurrent topics in Yaniv Romano's work include Image and Signal Denoising Methods (13 papers), Sparse and Compressive Sensing Techniques (9 papers) and Advanced Image Processing Techniques (8 papers). Yaniv Romano is often cited by papers focused on Image and Signal Denoising Methods (13 papers), Sparse and Compressive Sensing Techniques (9 papers) and Advanced Image Processing Techniques (8 papers). Yaniv Romano collaborates with scholars based in Israel and United States. Yaniv Romano's co-authors include Michael Elad, Peyman Milanfar, John Isidoro, Jeremias Sulam, Vardan Papyan, Matan Protter, Emmanuel J. Candès, Matteo Sesia, Ronen Talmon and Tao Hong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Image Processing.

In The Last Decade

Yaniv Romano

20 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Little Engine That Could: Regularization by Denoising (RED)

2017 476 citations Yaniv Romano, Michael Elad et al. SIAM Journal on Imaging Sciences profile →

Peers

Yaniv Romano

CVPR

MT

CM

BE

RNMI

Laure Blanc‐Féraud France

Laure Blanc-Féraud France

Filip Šroubek Czechia

Jinjun Xu United States

Stanley H. Chan United States

Yuhui Quan China

Florian Luisier Switzerland

Marius Lysaker Norway

Stamatios Lefkimmiatis Switzerland

Leonid Yaroslavsky Israel

Laure Blanc‐Féraud France

Yaniv Romano

774 ×0.9

CVPR

309 ×0.9

MT

426 ×1.3

CM

321 ×1.6

BE

158 ×1.0

RNMI

Citations per year, relative to Yaniv Romano Yaniv Romano (= 1×) peers Laure Blanc‐Féraud

Countries citing papers authored by Yaniv Romano

Since Specialization

Citations

This map shows the geographic impact of Yaniv Romano's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yaniv Romano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaniv Romano more than expected).

Fields of papers citing papers by Yaniv Romano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaniv Romano. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yaniv Romano. The network helps show where Yaniv Romano may publish in the future.

Co-authorship network of co-authors of Yaniv Romano

This figure shows the co-authorship network connecting the top 25 collaborators of Yaniv Romano. A scholar is included among the top collaborators of Yaniv Romano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaniv Romano. Yaniv Romano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Romano, Yaniv, et al.. (2024). Quantum sparse coding. Quantum Machine Intelligence. 6(1).

2.

Romano, Yaniv, et al.. (2022). Training Uncertainty-Aware Classifiers with Conformalized Deep Learning. 22380–22395.

3.

Romano, Yaniv, Stephen Bates, & Emmanuel J. Candès. (2020). Achieving Equalized Odds by Resampling Sensitive Attributes. arXiv (Cornell University). 33. 361–371. 1 indexed citations

4.

Romano, Yaniv, Rina Foygel Barber, Chiara Sabatti, & Emmanuel J. Candès. (2020). With Malice Toward None: Assessing Uncertainty via Equalized Coverage. SHILAP Revista de lepidopterología. 17 indexed citations

5.

Romano, Yaniv, Matteo Sesia, & Emmanuel J. Candès. (2019). Deep Knockoffs. Journal of the American Statistical Association. 115(532). 1861–1872. 60 indexed citations

6.

Hong, Tao, Yaniv Romano, & Michael Elad. (2019). Acceleration of RED via vector extrapolation. Journal of Visual Communication and Image Representation. 63. 102575–102575. 11 indexed citations

7.

Romano, Yaniv, et al.. (2019). Unified Single-Image and Video Super-Resolution via Denoising Algorithms. IEEE Transactions on Image Processing. 28(12). 6063–6076. 28 indexed citations

8.

Romano, Yaniv, et al.. (2019). SOS Boosting for Image Deblurring Algorithms. 1–5. 2 indexed citations

9.

Papyan, Vardan, Yaniv Romano, Jeremias Sulam, & Michael Elad. (2018). Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks. IEEE Signal Processing Magazine. 35(4). 72–89. 76 indexed citations

10.

Romano, Yaniv, Michael Elad, & Peyman Milanfar. (2018). RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. 521. 6762–6766. 3 indexed citations

11.

Sulam, Jeremias, Vardan Papyan, Yaniv Romano, & Michael Elad. (2018). Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. IEEE Transactions on Signal Processing. 1–1. 63 indexed citations

12.

Romano, Yaniv, Michael Elad, & Peyman Milanfar. (2017). The Little Engine That Could: Regularization by Denoising (RED). SIAM Journal on Imaging Sciences. 10(4). 1804–1844. 476 indexed citations breakdown →

13.

Romano, Yaniv, et al.. (2017). Example-Based Image Synthesis via Randomized Patch-Matching. IEEE Transactions on Image Processing. 27(1). 220–235. 6 indexed citations

14.

Romano, Yaniv, et al.. (2016). Turning a denoiser into a super-resolver using plug and play priors. 1404–1408. 52 indexed citations

15.

Sulam, Jeremias, Yaniv Romano, & Michael Elad. (2016). Gaussian mixture diffusion. 3. 1–5. 3 indexed citations

16.

Romano, Yaniv, John Isidoro, & Peyman Milanfar. (2016). RAISR: Rapid and Accurate Image Super Resolution. IEEE Transactions on Computational Imaging. 3(1). 110–125. 188 indexed citations

17.

Romano, Yaniv & Michael Elad. (2015). Patch-disagreement as away to improve K-SVD denoising. 1280–1284. 15 indexed citations

18.

Romano, Yaniv & Michael Elad. (2015). Boosting of Image Denoising Algorithms. SIAM Journal on Imaging Sciences. 8(2). 1187–1219. 101 indexed citations

19.

Romano, Yaniv, Matan Protter, & Michael Elad. (2014). Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling. IEEE Transactions on Image Processing. 23(7). 3085–3098. 89 indexed citations

20.

Romano, Yaniv & Michael Elad. (2013). Improving K-SVD denoising by post-processing its method-noise. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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