Aron Yu
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Advanced Neural Network Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 2
- Face and Expression Recognition 1
- Handwritten Text Recognition Techniques 1
- Digital Media Forensic Detection 1
- Generative Adversarial Networks and Image Synthesis 1
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- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Algorithms 1
- Co-authors
- Kristen Grauman (5 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)Advances in computer vision and pattern recognition (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Aron Yu
5 papers receiving 311 citations
Aron Yu's Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 260
- Computer Graphics and Computer-Aided Design 19
- Artificial Intelligence 138
- Media Technology 25
- Museology 8
Countries citing papers authored by Aron Yu
This map shows the geographic impact of Aron Yu'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 Aron Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aron Yu more than expected).
Fields of papers citing papers by Aron Yu
This network shows the impact of papers produced by Aron Yu. 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 Aron Yu. The network helps show where Aron Yu may publish in the future.
Co-authors
The 1 scholars most cited alongside Aron Yu, 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 | Fine-Grained Visual Comparisons with Local Learning Hit paper breakdown → | 2014 | 287 |
| 2 | 2015 | 25 | |
| 3 | 2017 | 8 | |
| 4 | Predicting Useful Neighborhoods for Lazy Local Learning | 2014 | 7 |
| 5 | 2020 | 2 |
About Aron Yu
Aron Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Image Retrieval and Classification Techniques (2 papers), Face and Expression Recognition (1 paper), Handwritten Text Recognition Techniques (1 paper), Machine Learning and Algorithms (1 paper), Digital Media Forensic Detection (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Computer Graphics and Computer-Aided Design (19 citations), Artificial Intelligence (138 citations), Media Technology (25 citations) and Museology (8 citations). Aron Yu has collaborated with scholars based in United States. Frequent co-authors include Kristen Grauman. Their work appears in journals such as International Journal of Computer Vision, Advances in computer vision and pattern recognition 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.