Yael Vinker
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Vision and Imaging 4
- Multimodal Machine Learning Applications 3
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 2
- Advanced Image and Video Retrieval Techniques 2
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- Computer Graphics and Visualization Techniques 3
- Co-authors
- Daniel Cohen‐Or (8 shared papers)Yuval Alaluf (3 shared papers)Lior Wolf (1 shared paper)Hila Chefer (1 shared paper)Ariel Shamir (6 shared papers)Amit H. Bermano (2 shared papers)Amir Zamir (1 shared paper)Roman Bachmann (1 shared paper)
- Journals
- ACM Transactions on Graphics (4 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Yael Vinker
9 papers receiving 367 citations
Yael Vinker's Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Graphics and Computer-Aided Design 97
- Computer Vision and Pattern Recognition 276
- Geology 13
- Computational Mechanics 44
- Artificial Intelligence 67
Countries citing papers authored by Yael Vinker
This map shows the geographic impact of Yael Vinker'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 Yael Vinker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Vinker more than expected).
Fields of papers citing papers by Yael Vinker
This network shows the impact of papers produced by Yael Vinker. 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 Yael Vinker. The network helps show where Yael Vinker may publish in the future.
Co-authors
The 19 scholars most cited alongside Yael Vinker, 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 | Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hit paper breakdown → | 2023 | 173 |
| 2 | 2022 | 94 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 9 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Yael Vinker
Yael Vinker is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, Computational Mechanics and Cognitive Neuroscience, having authored 11 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Multimodal Machine Learning Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (97 citations), Computer Vision and Pattern Recognition (276 citations), Geology (13 citations), Computational Mechanics (44 citations) and Artificial Intelligence (67 citations). Yael Vinker has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Daniel Cohen‐Or, Yuval Alaluf, Lior Wolf, Hila Chefer, Ariel Shamir, Amit H. Bermano, Amir Zamir, Roman Bachmann, Raanan Fattal and Amir Hertz. Their work appears in journals such as ACM Transactions on Graphics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.