Tal Remez
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
Papers in
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- Image Enhancement Techniques 3
- Image and Signal Denoising Methods 3
- Advanced Image Processing Techniques 2
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- Music and Audio Processing 3
- Speech and Audio Processing 3
- Co-authors
- Or Litany (5 shared papers)Alex Bronstein (4 shared papers)Raja Giryes (2 shared papers)Zorah Lähner (1 shared paper)Michael M. Bronstein (1 shared paper)Ron Slossberg (1 shared paper)Emanuele Rodolà (1 shared paper)Ron Kimmel (1 shared paper)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)IRIS Research product catalog (Sapienza University of Rome) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Tal Remez
12 papers receiving 124 citations
Peers
Comparison fields: 5 of 31
- Computer Graphics and Computer-Aided Design 17
- Computer Vision and Pattern Recognition 65
- Computational Mechanics 48
- Media Technology 20
- Signal Processing 20
Countries citing papers authored by Tal Remez
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
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-authors
The 25 scholars most cited alongside Tal Remez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2017 | 16 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 10 | |
| 5 | 2016 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2017 | 4 | |
| 9 | Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds | 2021 | 2 |
| 10 | A Picture is worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels | 2015 | 2 |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 |
About Tal Remez
Tal Remez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Biomedical Engineering, having authored 12 papers that have together received 127 indexed citations. Recurring topics across this work include Image Enhancement Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Speech Recognition and Synthesis (2 papers), Advanced Image Processing Techniques (2 papers) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (17 citations), Computer Vision and Pattern Recognition (65 citations), Computational Mechanics (48 citations), Media Technology (20 citations) and Signal Processing (20 citations). Tal Remez has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Or Litany, Alex Bronstein, Raja Giryes, Zorah Lähner, Michael M. Bronstein, Ron Slossberg, Emanuele Rodolà, Ron Kimmel, Matthias Vestner and Daniel Cremers. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IRIS Research product catalog (Sapienza University of Rome), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).
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.