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
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Vision and Imaging 6
- Multimodal Machine Learning Applications 4
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Neural Network Applications 3
- Visual Attention and Saliency Detection 3
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- Computer Graphics and Visualization Techniques 5
- Co-authors
- Andrea Vedaldi (15 shared papers)Christian Rupprecht (12 shared papers)Luke Melas-Kyriazi (2 shared papers)Federico Tombari (4 shared papers)Nassir Navab (4 shared papers)Minghao Chen (1 shared paper)Gregory D. Hager (2 shared papers)Diane Larlus (2 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)Pattern Recognition Letters (1 paper)Lecture notes in computer science (7 papers)PubMed (1 paper)ArXiv.org (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Iro Laina
20 papers receiving 773 citations
Iro Laina's Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Graphics and Computer-Aided Design 152
- Computer Vision and Pattern Recognition 556
- Health Informatics 8
- Artificial Intelligence 199
- Computational Mechanics 114
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 25 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RealFusion 360° Reconstruction of Any Object from a Single Image Hit paper breakdown → | 2023 | 124 |
| 2 | 2022 | 103 | |
| 3 | 2017 | 101 | |
| 4 | 2017 | 100 | |
| 5 | 2022 | 96 | |
| 6 | 2020 | 87 | |
| 7 | Training-Free Layout Control with Cross-Attention Guidance Hit paper breakdown → | 2024 | 85 |
| 8 | 2019 | 42 | |
| 9 | 2024 | 18 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Iro Laina
Iro Laina is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics and Geology, having authored 23 papers that have together received 789 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Neural Network Applications (3 papers), Visual Attention and Saliency Detection (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (152 citations), Computer Vision and Pattern Recognition (556 citations), Health Informatics (8 citations), Artificial Intelligence (199 citations) and Computational Mechanics (114 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, Minghao Chen, Gregory D. Hager, Diane Larlus, Robert DiPietro and Nicola Rieke. Their work appears in journals such as International Journal of Computer Vision, Pattern Recognition Letters, Lecture notes in computer science, PubMed and ArXiv.org.
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.