Dmitrii Marin

403 total citations
8 papers, 179 citations indexed

About

Dmitrii Marin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dmitrii Marin has authored 8 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Dmitrii Marin's work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Face and Expression Recognition (2 papers). Dmitrii Marin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers) and Face and Expression Recognition (2 papers). Dmitrii Marin collaborates with scholars based in Canada and United States. Dmitrii Marin's co-authors include Yuri Boykov, Meng Tang, Ismail Ben Ayed, Sam S. Tsai, Péter Vajda, Zijian He, Priyam Chatterjee, Fei Yang, Anurag Ranjan and Oncel Tuzel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Dmitrii Marin

7 papers receiving 176 citations

Peers

Dmitrii Marin
Chenlin Meng United States
Oren Rippel United States
Luke Metz United States
Kangfu Mei United States
Samaneh Azadi United States
X. Y. Han United States
J. A. Caballero Spain
Jeffrey De Fauw United States
Chenlin Meng United States
Dmitrii Marin
Citations per year, relative to Dmitrii Marin Dmitrii Marin (= 1×) peers Chenlin Meng

Countries citing papers authored by Dmitrii Marin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitrii Marin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrii Marin

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

All Works

8 of 8 papers shown
1.
2.
Marin, Dmitrii, et al.. (2023). Token Pooling in Vision Transformers for Image Classification. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 12–21. 20 indexed citations
3.
Zhang, Zhongwen, Dmitrii Marin, Maria Drangova, & Yuri Boykov. (2021). Confluent Vessel Trees with Accurate Bifurcations. 9568–9577. 4 indexed citations
4.
Marin, Dmitrii, Zijian He, Péter Vajda, et al.. (2019). Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. 2131–2141. 59 indexed citations
5.
Marin, Dmitrii, Meng Tang, Ismail Ben Ayed, & Yuri Boykov. (2019). Beyond Gradient Descent for Regularized Segmentation Losses. 10179–10188. 16 indexed citations
6.
Tang, Meng, Dmitrii Marin, Ismail Ben Ayed, & Yuri Boykov. (2018). Kernel Cuts: Kernel and Spectral Clustering Meet Regularization. International Journal of Computer Vision. 127(5). 477–511. 20 indexed citations
7.
Marin, Dmitrii, Meng Tang, Ismail Ben Ayed, & Yuri Boykov. (2017). Kernel Clustering: Density Biases and Solutions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(1). 136–147. 40 indexed citations
8.
Tang, Meng, Ismail Ben Ayed, Dmitrii Marin, & Yuri Boykov. (2015). Secrets of GrabCut and Kernel K-Means. 1555–1563. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chenlin Meng Breakdown of academic impact, for papers by Oren Rippel Breakdown of academic impact, for papers by Luke Metz Breakdown of academic impact, for papers by Kangfu Mei Breakdown of academic impact, for papers by Samaneh Azadi Breakdown of academic impact, for papers by X. Y. Han Breakdown of academic impact, for papers by J. A. Caballero Breakdown of academic impact, for papers by Jeffrey De Fauw
Rankless by CCL
2026