Tal Remez

910 total citations
10 papers, 111 citations indexed

About

Tal Remez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Tal Remez has authored 10 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Tal Remez's work include Image and Signal Denoising Methods (3 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). Tal Remez is often cited by papers focused on Image and Signal Denoising Methods (3 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). Tal Remez collaborates with scholars based in Israel, United States and United Kingdom. Tal Remez's co-authors include Or Litany, Alex Bronstein, Emanuele Rodolà, Daniel Cremers, Michael M. Bronstein, Raja Giryes, Zorah Lähner, Ron Kimmel, Matthias Vestner and Bowen Shi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Tal Remez

10 papers receiving 109 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tal Remez Israel 6 63 47 23 19 17 10 111
Thibault Napoléon France 7 112 1.8× 20 0.4× 17 0.7× 20 1.1× 5 0.3× 19 151
Tianyu Ding United States 4 128 2.0× 10 0.2× 22 1.0× 35 1.8× 11 0.6× 15 164
Alexander W. Bergman United States 5 79 1.3× 30 0.6× 7 0.3× 16 0.8× 42 2.5× 6 114
Daniel Soukup Austria 7 54 0.9× 9 0.2× 11 0.5× 21 1.1× 6 0.4× 16 78
Zili Yi Canada 5 266 4.2× 16 0.3× 24 1.0× 28 1.5× 51 3.0× 11 298
Yoni Kasten Israel 7 54 0.9× 18 0.4× 13 0.6× 3 0.2× 15 0.9× 11 95
Fuwen Tan United States 7 173 2.7× 28 0.6× 47 2.0× 6 0.3× 16 0.9× 11 201
Joo Chan Lee South Korea 5 72 1.1× 31 0.7× 6 0.3× 4 0.2× 40 2.4× 10 118
Pascal Peter Germany 8 113 1.8× 29 0.6× 13 0.6× 13 0.7× 17 1.0× 14 150

Countries citing papers authored by Tal Remez

Since Specialization
Citations

This map shows the geographic impact of Tal Remez'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 Tal Remez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Remez more than expected).

Fields of papers citing papers by Tal Remez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal Remez. 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 Tal Remez. The network helps show where Tal Remez may publish in the future.

Co-authorship network of co-authors of Tal Remez

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Remez. A scholar is included among the top collaborators of Tal Remez 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 Tal Remez. Tal Remez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Adi, Yossi, Ricky T. Q. Chen, Felix Kreuk, et al.. (2024). Discrete Flow Matching. 133345–133385. 1 indexed citations
2.
Hsu, Wei-Ning, Bowen Shi, Itai Gat, et al.. (2023). Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. SPIRE - Sciences Po Institutional REpository. 4823–4827. 10 indexed citations
4.
Shillingford, Brendan, et al.. (2022). More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10577–10587. 6 indexed citations
5.
Tzinis, Efthymios, Scott Wisdom, Aren Jansen, et al.. (2021). Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. arXiv (Cornell University). 2 indexed citations
6.
Remez, Tal, Or Litany, Raja Giryes, & Alex Bronstein. (2017). Deep class-aware image denoising. 1895–1899. 4 indexed citations
7.
Remez, Tal, Or Litany, Raja Giryes, & Alex Bronstein. (2017). Deep class-aware image denoising. 138–142. 16 indexed citations
8.
Vestner, Matthias, Zorah Lähner, Or Litany, et al.. (2017). Efficient Deformable Shape Correspondence via Kernel Matching. IRIS Research product catalog (Sapienza University of Rome). 517–526. 55 indexed citations
9.
Remez, Tal, Or Litany, & Alex Bronstein. (2016). A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. 1–9. 8 indexed citations
10.
Remez, Tal, Or Litany, & Alexander M. Bronstein. (2015). A Picture is worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. arXiv (Cornell University). 2(11). 2 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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