Artem Babenko

2.8k total citations
16 papers, 394 citations indexed

About

Artem Babenko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Artem Babenko has authored 16 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Artem Babenko's work include Advanced Image and Video Retrieval Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Image Retrieval and Classification Techniques (4 papers). Artem Babenko is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Image Retrieval and Classification Techniques (4 papers). Artem Babenko collaborates with scholars based in Russia. Artem Babenko's co-authors include Victor Lempitsky, Valentin Khrulkov, Ivan Oseledets, M. Vyalyi and Liudmila Prokhorenkova and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computational Mathematics and Mathematical Physics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Artem Babenko

14 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artem Babenko Russia 7 352 100 73 47 43 16 394
Huamin Feng China 9 189 0.5× 62 0.6× 45 0.6× 16 0.3× 20 0.5× 28 265
Qing-Yuan Jiang China 6 1.1k 3.0× 213 2.1× 30 0.4× 42 0.9× 36 0.8× 10 1.1k
Jile Zhou China 6 1.1k 3.0× 140 1.4× 26 0.4× 33 0.7× 29 0.7× 7 1.1k
Olivier Buisson France 9 513 1.5× 54 0.5× 64 0.9× 36 0.8× 44 1.0× 15 535
Amit Gruber Israel 6 178 0.5× 179 1.8× 33 0.5× 27 0.6× 41 1.0× 6 347
Geonmo Gu South Korea 7 205 0.6× 160 1.6× 39 0.5× 11 0.2× 14 0.3× 10 259
Andrey Logvinov Russia 2 131 0.4× 72 0.7× 85 1.2× 21 0.4× 5 0.1× 6 193
J. K. Su Germany 6 301 0.9× 29 0.3× 39 0.5× 12 0.3× 20 0.5× 11 345
Giorgos Tolias Czechia 13 627 1.8× 93 0.9× 22 0.3× 195 4.1× 63 1.5× 36 668

Countries citing papers authored by Artem Babenko

Since Specialization
Citations

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

Fields of papers citing papers by Artem Babenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artem Babenko

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

All Works

16 of 16 papers shown
3.
Khrulkov, Valentin, Artem Babenko, & Ivan Oseledets. (2021). Functional Space Analysis of Local GAN Convergence. International Conference on Machine Learning. 5432–5442. 1 indexed citations
4.
Babenko, Artem, et al.. (2021). On Self-Supervised Image Representations for GAN Evaluation. International Conference on Learning Representations. 8 indexed citations
5.
Khrulkov, Valentin, et al.. (2021). On Disentangled Representations Extracted from Pretrained GANs. 1 indexed citations
6.
Khrulkov, Valentin, et al.. (2021). Latent Transformations via NeuralODEs for GAN-based Image Editing. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14408–14417. 5 indexed citations
7.
Khrulkov, Valentin & Artem Babenko. (2021). Neural Side-By-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. 4986–4995. 7 indexed citations
8.
Babenko, Artem, et al.. (2020). Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. International Conference on Machine Learning. 1. 9786–9796. 23 indexed citations
9.
Babenko, Artem, et al.. (2020). Object Segmentation Without Labels with Large-Scale Generative Models. arXiv (Cornell University). 10596–10606. 5 indexed citations
10.
Babenko, Artem, et al.. (2019). Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. arXiv (Cornell University). 32. 6903–6913. 1 indexed citations
11.
Babenko, Artem, et al.. (2018). Non-metric Similarity Graphs for Maximum Inner Product Search. Neural Information Processing Systems. 31. 4721–4730. 26 indexed citations
12.
Babenko, Artem & Victor Lempitsky. (2017). Product Split Trees. 6316–6324. 5 indexed citations
13.
Babenko, Artem & M. Vyalyi. (2017). On the linear classification of even and odd permutation matrices and the complexity of computing the permanent. Computational Mathematics and Mathematical Physics. 57(2). 362–371.
14.
Babenko, Artem & Victor Lempitsky. (2015). Tree quantization for large-scale similarity search and classification. 4240–4248. 57 indexed citations
15.
Babenko, Artem & Victor Lempitsky. (2014). Additive Quantization for Extreme Vector Compression. 931–938. 153 indexed citations
16.
Babenko, Artem & Victor Lempitsky. (2014). The Inverted Multi-Index. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(6). 1247–1260. 101 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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