Iro Laina

2.3k total citations · 2 hit papers
13 papers, 505 citations indexed

About

Iro Laina is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Iro Laina has authored 13 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Iro Laina's work include Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Vision and Imaging (2 papers). Iro Laina is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Vision and Imaging (2 papers). Iro Laina collaborates with scholars based in United Kingdom, Germany and United States. Iro Laina's co-authors include Andrea Vedaldi, Christian Rupprecht, Luke Melas-Kyriazi, Federico Tombari, Nassir Navab, Gregory D. Hager, Diane Larlus, Minghao Chen, Robert DiPietro and Maximilian Baust and has published in prestigious journals such as International Journal of Computer Vision, Pattern Recognition Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Iro Laina

10 papers receiving 490 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

RealFusion 360° Reconstruction of Any Object from a Single Image

2023 90 citations Luke Melas-Kyriazi, Iro Laina et al. profile →
Training-Free Layout Control with Cross-Attention Guidance

2024 55 citations Minghao Chen, Iro Laina et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Iro Laina United Kingdom	7	392	148	108	89	45	13	505
Jiemin Fang China	11	391 1.0×	146 1.0×	89 0.8×	80 0.9×	39 0.9×	20	531
Guangcong Wang China	12	653 1.7×	106 0.7×	66 0.6×	41 0.5×	41 0.9×	21	737
Yingchen Yu Singapore	12	446 1.1×	92 0.6×	93 0.9×	59 0.7×	30 0.7×	19	542
Raymond A. Yeh United States	8	618 1.6×	123 0.8×	115 1.1×	104 1.2×	16 0.4×	18	776
Ignas Budvytis United Kingdom	13	382 1.0×	45 0.3×	60 0.6×	104 1.2×	55 1.2×	26	444
Vincent Casser United States	5	397 1.0×	54 0.4×	183 1.7×	113 1.3×	122 2.7×	8	544
Shuaifeng Zhi China	9	329 0.8×	70 0.5×	78 0.7×	129 1.4×	142 3.2×	26	487
Andreas Lehrmann Germany	4	492 1.3×	50 0.3×	277 2.6×	231 2.6×	26 0.6×	8	562
Tan Yu China	12	443 1.1×	209 1.4×	35 0.3×	174 2.0×	53 1.2×	27	652
Sara Vicente United Kingdom	7	601 1.5×	80 0.5×	46 0.4×	69 0.8×	91 2.0×	13	707

Countries citing papers authored by Iro Laina

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Iro Laina

This figure shows the co-authorship network connecting the top 25 collaborators of Iro Laina. A scholar is included among the top collaborators of Iro Laina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iro Laina. Iro Laina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Chen, Minghao, Роман Шаповалов, Iro Laina, et al.. (2025). PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models. 5881–5892. 1 indexed citations

2.

Vedaldi, Andrea, et al.. (2025). Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. 457–468.

3.

Laina, Iro, et al.. (2024). Learning Segmentation from Point Trajectories. 112573–112597.

4.

Chen, Minghao, et al.. (2024). Shap-Editor: Instruction-guided Latent 3D Editing in Seconds. 26446–26456. 3 indexed citations

5.

Chen, Minghao, Iro Laina, & Andrea Vedaldi. (2024). Training-Free Layout Control with Cross-Attention Guidance. 5331–5341. 55 indexed citations breakdown →

6.

Laina, Iro, et al.. (2023). The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. International Journal of Computer Vision. 132(2). 537–554. 6 indexed citations

7.

Melas-Kyriazi, Luke, Iro Laina, Christian Rupprecht, & Andrea Vedaldi. (2023). RealFusion 360° Reconstruction of Any Object from a Single Image. 8446–8455. 90 indexed citations breakdown →

8.

Laina, Iro, et al.. (2022). Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. PubMed. 2022. 443–453. 75 indexed citations

9.

Melas-Kyriazi, Luke, Christian Rupprecht, Iro Laina, & Andrea Vedaldi. (2022). Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8354–8365. 87 indexed citations

10.

Laina, Iro, et al.. (2021). The Curious Layperson: Fine-Grained Image Recognition without Expert Labels.

11.

Laina, Iro, et al.. (2020). Semantic Image Manipulation Using Scene Graphs. 5212–5221. 72 indexed citations

12.

Tateno, Keisuke, et al.. (2019). Peeking behind objects: Layered depth prediction from a single image. Pattern Recognition Letters. 125. 333–340. 35 indexed citations

13.

Rupprecht, Christian, Iro Laina, Robert DiPietro, et al.. (2017). Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. 3611–3620. 81 indexed citations

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.

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