Mateusz Koziński

965 total citations
19 papers, 455 citations indexed

About

Mateusz Koziński is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Mateusz Koziński has authored 19 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Environmental Engineering. Recurrent topics in Mateusz Koziński's work include Remote Sensing and LiDAR Applications (4 papers), 3D Surveying and Cultural Heritage (4 papers) and Human Pose and Action Recognition (3 papers). Mateusz Koziński is often cited by papers focused on Remote Sensing and LiDAR Applications (4 papers), 3D Surveying and Cultural Heritage (4 papers) and Human Pose and Action Recognition (3 papers). Mateusz Koziński collaborates with scholars based in Austria, Switzerland and United States. Mateusz Koziński's co-authors include Pascal Fua, Agata Mosinska, Pablo Márquez-Neila, Radhakrishna Achanta, Katrin Beyer, Fernando Pérez‐Cruz, Martin Weigert, Horst Possegger, Anne‐Florence Bitbol and Sahand Jamal Rahi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Mateusz Koziński

17 papers receiving 445 citations

Peers

Mateusz Koziński

CVPR

CSE

David Stutz Germany

Weiliang Meng China

V. A. Knyaz Russia

Bing Ouyang United States

Verónica Vilaplana Spain

Gang Zhang China

Jiangye Yuan United States

Zhongling Huang China

Agustín Trujillo Spain

David Stutz Germany

Mateusz Koziński

325 ×2.1

CVPR

50 ×0.5

25 ×0.3

136 ×2.2

8 ×0.1

CSE

Citations per year, relative to Mateusz Koziński Mateusz Koziński (= 1×) peers David Stutz

Countries citing papers authored by Mateusz Koziński

Since Specialization

Citations

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

Fields of papers citing papers by Mateusz Koziński

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Koziński

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Koziński, Mateusz, Pascal Fua, Angela Koutsokera, et al.. (2025). Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT. Communications Medicine. 5(1). 18–18.

Rezaie, Amir Hossein, et al.. (2024). Partial annotations in active learning for semantic segmentation. Automation in Construction. 168. 105828–105828. 6 indexed citations

Possegger, Horst, et al.. (2024). MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. 18868–18877. 7 indexed citations

Mohr, Peter, et al.. (2024). Error Management for Augmented Reality Assembly Instructions. 690–699.

Koziński, Mateusz, et al.. (2023). Persistent Homology With Improved Locality Information for More Effective Delineation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10588–10595. 5 indexed citations

Mohr, Peter, et al.. (2023). State-Aware Configuration Detection for Augmented Reality Step-by-Step Tutorials. 157–166. 7 indexed citations

Leitner, Stefan, Wei Lin, Marc Masana, et al.. (2023). Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. 17. 1–8. 1 indexed citations

Shin, Inkyu, Kunyang Sun, Mateusz Koziński, et al.. (2023). MATE: Masked Autoencoders are Online 3D Test-Time Learners. 16663–16672. 6 indexed citations

Lin, Wei, et al.. (2023). ActMAD: Activation Matching to Align Distributions for Test-Time-Training. 24152–24161. 6 indexed citations

10.

Karlinsky, Leonid, Horst Possegger, Mateusz Koziński, et al.. (2023). MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. 2839–2850. 13 indexed citations

11.

Koziński, Mateusz, et al.. (2023). Video Test-Time Adaptation for Action Recognition. 22952–22961. 12 indexed citations

12.

Achanta, Radhakrishna, et al.. (2022). Generating LOD3 building models from structure-from-motion and semantic segmentation. Automation in Construction. 141. 104430–104430. 48 indexed citations

13.

Koziński, Mateusz, et al.. (2022). TOPO-Loss for continuity-preserving crack detection using deep learning. Construction and Building Materials. 344. 128264–128264. 39 indexed citations

14.

Hoyt, Alison M., Ale×ander R. Cobb, Mateusz Koziński, et al.. (2021). Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions. SHILAP Revista de lepidopterología. 2(1). 29 indexed citations

15.

Gligorovski, Vojislav, et al.. (2020). A convolutional neural network segments yeast microscopy images with high accuracy. Nature Communications. 11(1). 5723–5723. 75 indexed citations

16.

Mosinska, Agata, Mateusz Koziński, & Pascal Fua. (2019). Joint Segmentation and Path Classification of Curvilinear Structures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(6). 1515–1521. 19 indexed citations

17.

Koziński, Mateusz, Agata Mosinska, Mathieu Salzmann, & Pascal Fua. (2019). Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures. Medical Image Analysis. 60. 101590–101590. 14 indexed citations

18.

Mosinska, Agata, Pablo Márquez-Neila, Mateusz Koziński, & Pascal Fua. (2018). Beyond the Pixel-Wise Loss for Topology-Aware Delineation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3136–3145. 162 indexed citations

19.

Koziński, Mateusz & Renaud Marlet. (2014). Image parsing with graph grammars and Markov Random Fields applied to facade analysis. HAL (Le Centre pour la Communication Scientifique Directe). 25. 729–736. 6 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