Iro Laina

2.5k citations
30 papers · 1.5k · 3 hit papers · h-index 11

Impact in

Papers in

Iro Laina

28 papers receiving 1.5k citations

Iro Laina's Hit Papers

Training-Free Layout Control with Cross-Attention Guidance 2024 · 94 citations
940+3+6Years since publication100200300400500

Peers

Iro Laina
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 1.1k
  • Computer Graphics and Computer-Aided Design 174
  • Geology 149
  • Aerospace Engineering 528
  • Media Technology 120
Replace Yohann Cabon with:
Yohann Cabon South Korea
Martin R. Oswald Switzerland
Yi Wei China
Keisuke Tateno United States
Kejie Li China
Marie‐Odile Berger France
Mingtao Feng China
Yiyi Liao China
Carlos Hernández-Gracidas Mexico
Siyu Zhu Hong Kong
Iro Laina relative to Yohann Cabon South Korea Yohann Cabon's profile →
Citations per field
00.5×2×2.6×
Yohann Cabon · 1×
Citations per year

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-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.

Border = papers with Iro Laina Line = papers co-authored together Iro Laina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
Hit paper breakdown →
2017550
2
RealFusion 360° Reconstruction of Any Object from a Single Image
Hit paper breakdown →
2023139
3 2017122
4 2022113
5 2022112
6 2017109
7
Training-Free Layout Control with Cross-Attention Guidance
Hit paper breakdown →
202494
8 202090
9 201668
10 201949
11 202422
12 202410
13 201910
14 20249
15 20238
16 20245
17 20255
18 20243
19 20233
20 20183

About Iro Laina

Iro Laina is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology, Media Technology and Artificial Intelligence, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Multimodal Machine Learning Applications (6 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Neural Network Applications (4 papers), Human Pose and Action Recognition (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), 3D Shape Modeling and Analysis (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (174 citations), Geology (149 citations), Aerospace Engineering (528 citations) and Media Technology (120 citations). Iro Laina has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nassir Navab, Federico Tombari, Keisuke Tateno, Andrea Vedaldi, Christian Rupprecht, Luke Melas-Kyriazi, Minghao Chen, Gregory D. Hager, Diane Larlus and Robert S. DiPietro. Their work appears in journals such as International Journal of Computer Vision, Pattern Recognition Letters, Lecture notes in computer science, PubMed and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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