Anton Obukhov

626 total citations · 1 hit paper
11 papers, 183 citations indexed

About

Anton Obukhov is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Anton Obukhov has authored 11 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 5 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 Anton Obukhov's work include Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Anton Obukhov is often cited by papers focused on Advanced Vision and Imaging (3 papers), Computer Graphics and Visualization Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Anton Obukhov collaborates with scholars based in Switzerland, United States and Belgium. Anton Obukhov's co-authors include Konrad Schindler, Luc Van Gool, Dengxin Dai, Rodrigo Caye Daudt, Shengyu Huang, Jan Dirk Wegner, Yujia Liu, Gordon Wetzstein, Songyou Peng and Suman Saha and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ISPRS Journal of Photogrammetry and Remote Sensing and Pattern Recognition and Image Analysis.

In The Last Decade

Anton Obukhov

8 papers receiving 173 citations

Hit Papers

Repurposing Diffusion-Based Image Generators for Monocula... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anton Obukhov Switzerland 6 126 50 39 21 17 11 183
Deqing Sun United States 6 165 1.3× 25 0.5× 28 0.7× 25 1.2× 13 0.8× 12 206
Taoran Yi China 2 140 1.1× 73 1.5× 60 1.5× 6 0.3× 16 0.9× 3 205
Д. В. Иванов Russia 7 130 1.0× 70 1.4× 48 1.2× 6 0.3× 33 1.9× 27 214
Jason Dourgarian United States 4 246 2.0× 115 2.3× 37 0.9× 31 1.5× 13 0.8× 5 280
Frank Perbet Japan 8 158 1.3× 73 1.5× 67 1.7× 9 0.4× 18 1.1× 14 229
Christian Reiser Germany 4 163 1.3× 147 2.9× 107 2.7× 11 0.5× 32 1.9× 5 235
Basile Van Hoorick United States 3 218 1.7× 139 2.8× 127 3.3× 14 0.7× 30 1.8× 3 310
Jonathan T. Barron United Kingdom 5 197 1.6× 160 3.2× 117 3.0× 14 0.7× 39 2.3× 8 284
Oscar Michel United States 1 155 1.2× 97 1.9× 104 2.7× 6 0.3× 34 2.0× 2 236
Matt Deitke United States 2 159 1.3× 97 1.9× 104 2.7× 6 0.3× 34 2.0× 6 243

Countries citing papers authored by Anton Obukhov

Since Specialization
Citations

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

Fields of papers citing papers by Anton Obukhov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anton Obukhov

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

All Works

11 of 11 papers shown
1.
Huang, Shengyu, et al.. (2025). Video Depth without Video Models. 7233–7243. 1 indexed citations
2.
Wang, Tianfu, et al.. (2025). Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. PP. 1–18. 1 indexed citations
3.
Liu, Yujia, Anton Obukhov, Jan Dirk Wegner, & Konrad Schindler. (2024). Point2Building: Reconstructing buildings from airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 215. 351–368. 7 indexed citations
4.
Obukhov, Anton, et al.. (2024). Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. 3763–3772. 12 indexed citations
5.
Obukhov, Anton, et al.. (2024). Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. 9492–9502. 77 indexed citations breakdown →
7.
Saha, Suman, Lukas Hoyer, Anton Obukhov, Dengxin Dai, & Luc Van Gool. (2023). EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. 19177–19188. 5 indexed citations
8.
Obukhov, Anton, et al.. (2022). Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3971–3980. 50 indexed citations
9.
Obukhov, Anton, et al.. (2020). T-Basis: a Compact Representation for Neural Networks. arXiv (Cornell University).
10.
Obukhov, Anton. (2008). Discrete Cosine Transform for 8x8 Blocks with CUDA. 18 indexed citations
11.
Zhuravlev, Yu. I., et al.. (2005). RECOGNITION: A UNIVERSAL SOFTWARE SYSTEM FOR RECOGNITION, DATA MINING, AND FORECASTING. Pattern Recognition and Image Analysis. 15(2). 476–478. 2 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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