Hila Chefer
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 3
- Video Analysis and Summarization 1
- Handwritten Text Recognition Techniques 1
- Advanced Steganography and Watermarking Techniques 1
- Digital Media Forensic Detection 1
- Advanced Vision and Imaging 1
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- Aesthetic Perception and Analysis 1
- Co-authors
- Lior Wolf (3 shared papers)Yuval Alaluf (1 shared paper)Daniel Cohen‐Or (1 shared paper)Yael Vinker (1 shared paper)Deqing Sun (1 shared paper)Oliver Wang (1 shared paper)Omer Bar-Tal (1 shared paper)Shiran Zada (2 shared papers)
- Journals
- ACM Transactions on Graphics (2 papers)Research at the University of Copenhagen (University of Copenhagen) (1 paper)
- Partner nations
- IsraelUnited StatesDenmark
In The Last Decade
Hila Chefer
4 papers receiving 246 citations
Hila Chefer's Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Graphics and Computer-Aided Design 50
- Computer Vision and Pattern Recognition 178
- Signal Processing 24
- Artificial Intelligence 48
- General Social Sciences 4
Countries citing papers authored by Hila Chefer
This map shows the geographic impact of Hila Chefer'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 Hila Chefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hila Chefer more than expected).
Fields of papers citing papers by Hila Chefer
This network shows the impact of papers produced by Hila Chefer. 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 Hila Chefer. The network helps show where Hila Chefer may publish in the future.
Co-authors
The 19 scholars most cited alongside Hila Chefer, 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 | 190 |
| 2 | 2024 | 52 | |
| 3 | 2023 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 0 |
About Hila Chefer
Hila Chefer is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Economics and Econometrics, Computer Graphics and Computer-Aided Design and Infectious Diseases, having authored 5 papers that have together received 251 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Video Analysis and Summarization (1 paper), Handwritten Text Recognition Techniques (1 paper), Advanced Steganography and Watermarking Techniques (1 paper), Digital Media Forensic Detection (1 paper), Advanced Vision and Imaging (1 paper), Aesthetic Perception and Analysis (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Computer Vision and Pattern Recognition (178 citations), Signal Processing (24 citations), Artificial Intelligence (48 citations) and General Social Sciences (4 citations). Hila Chefer has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Lior Wolf, Yuval Alaluf, Daniel Cohen‐Or, Yael Vinker, Deqing Sun, Oliver Wang, Omer Bar-Tal, Shiran Zada, Ariel Ephrat and Omer Tov. Their work appears in journals such as ACM Transactions on Graphics and Research at the University of Copenhagen (University of Copenhagen).
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.