Jaakko Lehtinen

70 papers receiving 2.7k citations

Hit Papers

Few-Shot Unsupervised Image-to-Image Translation201820262020202320192018100200300

Peers

Jaakko Lehtinen
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 2.2k
  • Computer Graphics and Computer-Aided Design 1.3k
  • Computational Mechanics 608
  • Signal Processing 200
  • Control and Systems Engineering 196
Replace Samuli Laine with:
Samuli Laine United Kingdom
Timo Aila United Kingdom
Tero Karras United Kingdom
Matt Pharr United States
Michael Ashikhmin United States
Thomas Müller Germany
Dan B Goldman United States
Orazio Gallo United States
Qunsheng Peng China
Carsten Dachsbacher Germany
Jaakko Lehtinen relative to Samuli Laine United Kingdom Samuli Laine's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jaakko Lehtinen

Since Specialization
Citations

This map shows the geographic impact of Jaakko Lehtinen'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 Jaakko Lehtinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaakko Lehtinen more than expected).

Fields of papers citing papers by Jaakko Lehtinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaakko Lehtinen. 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 Jaakko Lehtinen. The network helps show where Jaakko Lehtinen may publish in the future.

Co-authorship network of co-authors of Jaakko Lehtinen

This figure shows the co-authorship network connecting the top 25 collaborators of Jaakko Lehtinen. A scholar is included among the top collaborators of Jaakko Lehtinen 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 Jaakko Lehtinen. Jaakko Lehtinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
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Training Generative Adversarial Networks with Limited Data
40
5
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
33
6
Self-Supervised Deep Image Denoising.
4
7
Few-Shot Unsupervised Image-to-Image Translationbreakdown →
329
8
Noise2Noise: Learning image restoration without clean data
208
9
Differentiable Monte Carlo ray tracing through edge samplingbreakdown →
259
10
Facial Performance Capture with Deep Neural Networks.
5
11 101
12 21
13
High-Performance Graphics 2013
4
14 68
15 17
16
Decoupled Sampling for Real-Time Graphics Pipelines
10
17 47
18 23
19 21
20 8

About Jaakko Lehtinen

Jaakko Lehtinen is a scholar working on Computer Graphics and Computer-Aided Design, Acoustics and Ultrasonics and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (39 papers), Advanced Vision and Imaging (32 papers) and Image Enhancement Techniques (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (2.2k citations) and Computational Mechanics (608 citations). Jaakko Lehtinen has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Timo Aila, Miika Aittala, Frédo Durand, Tero Karras, Samuli Laine, Tzu‐Mao Li, Jan Kautz, Tim Weyrich, Ming-Yu Liu and Arun Mallya. Their work appears in journals such as ACM Transactions on Graphics, Neural Computation and IEEE Transactions on Visualization and Computer Graphics.

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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