Iro Laina
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Multimodal Machine Learning Applications 2
- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
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- 3D Shape Modeling and Analysis 3
- Co-authors
- Andrea Vedaldi (10 shared papers)Christian Rupprecht (8 shared papers)Luke Melas-Kyriazi (2 shared papers)Federico Tombari (3 shared papers)Nassir Navab (3 shared papers)Gregory D. Hager (2 shared papers)Diane Larlus (1 shared paper)Minghao Chen (1 shared paper)
- Journals
- Pattern Recognition Letters (1 paper)International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Iro Laina
10 papers receiving 490 citations
Iro Laina's Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Graphics and Computer-Aided Design 108
- Computer Vision and Pattern Recognition 392
- Artificial Intelligence 148
- Computational Mechanics 89
- Geology 21
Countries citing papers authored by Iro Laina
This map shows the geographic impact of Iro Laina'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 Iro Laina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iro Laina more than expected).
Fields of papers citing papers by Iro Laina
This network shows the impact of papers produced by Iro Laina. 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 Iro Laina. The network helps show where Iro Laina may publish in the future.
Co-authors
The 15 scholars most cited alongside Iro Laina, 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 | RealFusion 360° Reconstruction of Any Object from a Single Image Hit paper breakdown → | 2023 | 90 |
| 2 | 2022 | 87 | |
| 3 | 2017 | 81 | |
| 4 | 2022 | 75 | |
| 5 | 2020 | 72 | |
| 6 | Training-Free Layout Control with Cross-Attention Guidance Hit paper breakdown → | 2024 | 55 |
| 7 | 2019 | 35 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2021 | 0 | |
| 13 | 2025 | 0 |
About Iro Laina
Iro Laina is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Media Technology, having authored 13 papers that have together received 505 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (3 papers), Computer Graphics and Visualization Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers), 3D Surveying and Cultural Heritage (2 papers), Advanced Neural Network Applications (2 papers) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (108 citations), Computer Vision and Pattern Recognition (392 citations), Artificial Intelligence (148 citations), Computational Mechanics (89 citations) and Geology (21 citations). Iro Laina has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Andrea Vedaldi, Christian Rupprecht, Luke Melas-Kyriazi, Federico Tombari, Nassir Navab, Gregory D. Hager, Diane Larlus, Minghao Chen, Maximilian Baust and Robert DiPietro. Their work appears in journals such as Pattern Recognition Letters, International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and PubMed.
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.