Alexander Shekhovtsov

782 total citations
23 papers, 401 citations indexed

About

Alexander Shekhovtsov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Alexander Shekhovtsov has authored 23 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Alexander Shekhovtsov's work include Advanced Image and Video Retrieval Techniques (7 papers), Medical Image Segmentation Techniques (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Alexander Shekhovtsov is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Medical Image Segmentation Techniques (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Alexander Shekhovtsov collaborates with scholars based in Czechia, Austria and Germany. Alexander Shekhovtsov's co-authors include Václav Hlaváč, Thomas Pock, Christian Reinbacher, Michal Jančošek, Tomáš Pajdla, Carsten Rother, Pushmeet Kohli, Vladimir Kolmogorov, Philip H. S. Torr and Bogdan Savchynskyy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Medical Image Analysis.

In The Last Decade

Alexander Shekhovtsov

21 papers receiving 384 citations

Peers

Alexander Shekhovtsov
Saket Anand India
Meng Ding United States
Ce Zhou China
Itsuo Kumazawa Japan
Nasreddine Taleb Algeria
Luís Augusto Nagasaki Costa Brazil
Ahmed M. Nazif Egypt
C H Chen United States
Saket Anand India
Alexander Shekhovtsov
Citations per year, relative to Alexander Shekhovtsov Alexander Shekhovtsov (= 1×) peers Saket Anand

Countries citing papers authored by Alexander Shekhovtsov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Shekhovtsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Shekhovtsov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Shekhovtsov. A scholar is included among the top collaborators of Alexander Shekhovtsov 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 Alexander Shekhovtsov. Alexander Shekhovtsov 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
1.
2.
Wei, Tong, Yash Patel, Alexander Shekhovtsov, Jiřı́ Matas, & Dániel Baráth. (2023). Generalized Differentiable RANSAC. 17603–17614. 18 indexed citations
3.
Shekhovtsov, Alexander, et al.. (2021). Initialization and Transfer Learning of Stochastic Binary Networks from Real-Valued Ones. 37. 4655–4663. 5 indexed citations
4.
Shekhovtsov, Alexander & Boris Flach. (2018). Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. International Conference on Learning Representations. 5 indexed citations
5.
Reinbacher, Christian, et al.. (2017). End-to-End Training of Hybrid CNN-CRF Models for Stereo. 1456–1465. 85 indexed citations
6.
Shekhovtsov, Alexander, Paul Swoboda, & Bogdan Savchynskyy. (2017). Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(7). 1668–1682.
7.
Shekhovtsov, Alexander, et al.. (2017). End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning. 4 indexed citations
8.
Kirillov, Alexander, Alexander Shekhovtsov, Carsten Rother, & Bogdan Savchynskyy. (2016). Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. neural information processing systems. 29. 334–342. 6 indexed citations
9.
Shekhovtsov, Alexander, Christian Reinbacher, Gottfried Graber, & Thomas Pock. (2016). Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization. arXiv (Cornell University). 3 indexed citations
10.
Payer, Christian, Michael Pienn, Zoltán Bálint, et al.. (2016). Automated integer programming based separation of arteries and veins from thoracic CT images. Medical Image Analysis. 34. 109–122. 25 indexed citations
11.
Shekhovtsov, Alexander. (2016). Higher order maximum persistency and comparison theorems. Computer Vision and Image Understanding. 143. 54–79. 3 indexed citations
12.
Swoboda, Paul, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, & Bogdan Savchynskyy. (2015). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(7). 1370–1382. 7 indexed citations
13.
Shekhovtsov, Alexander. (2014). Maximum Persistency in Energy Minimization. 4. 1162–1169. 11 indexed citations
14.
Shekhovtsov, Alexander. (2013). Exact and Partial Energy Minimization in Computer Vision. Cvut DSpace (Czech Technical University). 4 indexed citations
15.
Shekhovtsov, Alexander & Václav Hlaváč. (2012). A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel. International Journal of Computer Vision. 104(3). 315–342. 23 indexed citations
16.
Shekhovtsov, Alexander & Václav Hlaváč. (2010). Joint Image GMM and Shading MAP Estimation. 1360–1363. 1 indexed citations
17.
Jančošek, Michal, Alexander Shekhovtsov, & Tomáš Pajdla. (2009). Scalable multi-view stereo. 1526–1533. 35 indexed citations
18.
Shekhovtsov, Alexander, et al.. (2008). A discrete search method for multi-modal non-rigid image registration. 5. 1–6. 1 indexed citations
19.
Shekhovtsov, Alexander, et al.. (2008). Efficient MRF deformation model for non-rigid image matching. Computer Vision and Image Understanding. 112(1). 91–99. 58 indexed citations
20.
Pitkänen, Heikki, Berit Arheimer, Horst Behrendt, et al.. (2002). Evaluation of the implementation of the 1988 Ministerial Declaration regarding nutrient load reductions in the Baltic Sea catchment area. Työväentutkimus Vuosikirja. 27 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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