Daiki Ikami
Impact in
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 3
- Face and Expression Recognition 3
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 5
- Advanced Clustering Algorithms Research 1
- Co-authors
- Kiyoharu Aizawa (10 shared papers)Toshihiko Yamasaki (3 shared papers)Daiki Tanaka (1 shared paper)Shota Horiguchi (2 shared papers)Go Irie (4 shared papers)Takashi Shibata (2 shared papers)Akari Asai (2 shared papers)Qing Yu (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Computer Vision and Pattern Recognition (1 paper)IEEE Conference Proceedings (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Daiki Ikami
12 papers receiving 530 citations
Daiki Ikami's Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 396
- Computer Vision and Pattern Recognition 243
- Industrial and Manufacturing Engineering 49
- Signal Processing 28
- Media Technology 21
Countries citing papers authored by Daiki Ikami
This map shows the geographic impact of Daiki Ikami'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 Daiki Ikami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Ikami more than expected).
Fields of papers citing papers by Daiki Ikami
This network shows the impact of papers produced by Daiki Ikami. 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 Daiki Ikami. The network helps show where Daiki Ikami may publish in the future.
Co-authors
The 8 scholars most cited alongside Daiki Ikami, 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 | Joint Optimization Framework for Learning with Noisy Labels Hit paper breakdown → | 2018 | 412 |
| 2 | 2019 | 45 | |
| 3 | 2021 | 22 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 13 | |
| 6 | 2019 | 8 | |
| 7 | Significance of Softmax-Based Features over Metric Learning-Based Features | 2017 | 7 |
| 8 | 2018 | 7 | |
| 9 | 2021 | 5 | |
| 10 | Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty | 2019 | 3 |
| 11 | 2018 | 3 | |
| 12 | 2023 | 3 |
About Daiki Ikami
Daiki Ikami is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics and Signal Processing, having authored 12 papers that have together received 543 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Face and Expression Recognition (3 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (396 citations), Computer Vision and Pattern Recognition (243 citations), Industrial and Manufacturing Engineering (49 citations), Signal Processing (28 citations) and Media Technology (21 citations). Daiki Ikami has collaborated with scholars based in Japan and United States. Frequent co-authors include Kiyoharu Aizawa, Toshihiko Yamasaki, Daiki Tanaka, Shota Horiguchi, Go Irie, Takashi Shibata, Akari Asai and Qing Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Pattern Recognition, IEEE Conference Proceedings, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.