Roei Herzig
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 7
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 2
- Advanced Vision and Imaging 1
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- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 3
- Artificial Intelligence in Games 1
- Co-authors
- Trevor Darrell (11 shared papers)Amir Globerson (6 shared papers)Gal Chechik (3 shared papers)Anna Rohrbach (2 shared papers)Amir Bar (2 shared papers)Colorado Reed (1 shared paper)Xin Wang (1 shared paper)Karttikeya Mangalam (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (3 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Roei Herzig
14 papers receiving 298 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 228
- Artificial Intelligence 145
- Media Technology 20
- Acoustics and Ultrasonics 1
- Human-Computer Interaction 6
Countries citing papers authored by Roei Herzig
This map shows the geographic impact of Roei Herzig'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 Roei Herzig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roei Herzig more than expected).
Fields of papers citing papers by Roei Herzig
This network shows the impact of papers produced by Roei Herzig. 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 Roei Herzig. The network helps show where Roei Herzig may publish in the future.
Co-authors
The 25 scholars most cited alongside Roei Herzig, 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 | 2022 | 93 | |
| 2 | 2022 | 59 | |
| 3 | 2024 | 35 | |
| 4 | 2023 | 26 | |
| 5 | 2022 | 23 | |
| 6 | Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction | 2018 | 22 |
| 7 | 2024 | 17 | |
| 8 | 2023 | 10 | |
| 9 | Classifying Collisions with Spatio-Temporal Action Graph Networks. | 2018 | 7 |
| 10 | 2024 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 |
About Roei Herzig
Roei Herzig is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Infectious Diseases and Organic Chemistry, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (3 papers), Human Pose and Action Recognition (3 papers), Advanced Neural Network Applications (2 papers), Artificial Intelligence in Games (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Artificial Intelligence (145 citations), Media Technology (20 citations), Acoustics and Ultrasonics (1 citation) and Human-Computer Interaction (6 citations). Roei Herzig has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Trevor Darrell, Amir Globerson, Gal Chechik, Anna Rohrbach, Amir Bar, Colorado Reed, Xin Wang, Karttikeya Mangalam, Leonid Karlinsky and Rogério Feris. Their work appears in journals such as Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Neural Information Processing Systems.
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.