Dániel Baráth

1.3k total citations
49 papers, 571 citations indexed

About

Dániel Baráth is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Dániel Baráth has authored 49 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 32 papers in Aerospace Engineering and 8 papers in Geology. Recurrent topics in Dániel Baráth's work include Robotics and Sensor-Based Localization (31 papers), Advanced Vision and Imaging (25 papers) and Advanced Image and Video Retrieval Techniques (19 papers). Dániel Baráth is often cited by papers focused on Robotics and Sensor-Based Localization (31 papers), Advanced Vision and Imaging (25 papers) and Advanced Image and Video Retrieval Techniques (19 papers). Dániel Baráth collaborates with scholars based in Switzerland, Czechia and Hungary. Dániel Baráth's co-authors include Jiřı́ Matas, Levente Hajder, Marc Pollefeys, Jana Nosková, Banglei Guan, Friedrich Fraundorfer, Ji Zhao, Rémi Pautrat, Viktor Larsson and Zuzana Kúkelová and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Dániel Baráth

40 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Baráth Switzerland 12 435 383 97 59 52 49 571
Haoang Li Hong Kong 12 404 0.9× 427 1.1× 216 2.2× 83 1.4× 97 1.9× 36 605
Eduard Trulls Switzerland 9 476 1.1× 279 0.7× 46 0.5× 35 0.6× 21 0.4× 12 562
John McCormac United Kingdom 3 613 1.4× 540 1.4× 220 2.3× 79 1.3× 82 1.6× 3 777
Tristan Laidlow United Kingdom 6 280 0.6× 146 0.4× 77 0.8× 75 1.3× 29 0.6× 8 370
Divyansh Garg United States 3 743 1.7× 415 1.1× 59 0.6× 37 0.6× 80 1.5× 4 839
Krishna Murthy Jatavallabhula United States 8 284 0.7× 192 0.5× 47 0.5× 40 0.7× 20 0.4× 20 460
Visesh Chari India 11 457 1.1× 167 0.4× 62 0.6× 40 0.7× 24 0.5× 20 542
Jürgen Gall Germany 6 326 0.7× 147 0.4× 74 0.8× 56 0.9× 87 1.7× 13 432
Rui Qian China 6 442 1.0× 187 0.5× 55 0.6× 58 1.0× 66 1.3× 14 561

Countries citing papers authored by Dániel Baráth

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Baráth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Baráth

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Baráth. A scholar is included among the top collaborators of Dániel Baráth 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 Dániel Baráth. Dániel Baráth 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.
Guan, Banglei, et al.. (2025). Learning Affine Correspondences by Integrating Geometric Constraints. 27038–27048.
2.
Xu, Haofei, Songyou Peng, Fangjinhua Wang, et al.. (2025). DepthSplat: Connecting Gaussian Splatting and Depth. 16453–16463. 2 indexed citations
3.
Armeni, Iro, et al.. (2024). Semantically Guided Feature Matching for Visual SLAM. 12013–12019. 2 indexed citations
4.
Armeni, Iro, et al.. (2024). Multiway Point Cloud Mosaicking with Diffusion and Global Optimization. 20838–20849. 5 indexed citations
5.
Armeni, Iro, et al.. (2024). Volumetric Semantically Consistent 3D Panoptic Mapping. 12924–12931.
6.
Ventura, Jonathan, Zuzana Kúkelová, Torsten Sattler, & Dániel Baráth. (2024). Absolute Pose from One or Two Scaled and Oriented Features. 20870–20880.
7.
Wang, Shuzhe, Juho Kannala, & Dániel Baráth. (2024). DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching. 20881–20891. 2 indexed citations
8.
Wei, Tong, Yash Patel, Alexander Shekhovtsov, Jiřı́ Matas, & Dániel Baráth. (2023). Generalized Differentiable RANSAC. 17603–17614. 18 indexed citations
9.
Baráth, Dániel. (2023). On Making SIFT Features Affine Covariant. International Journal of Computer Vision. 131(9). 2316–2332.
10.
Pautrat, Rémi, Dániel Baráth, Viktor Larsson, Martin R. Oswald, & Marc Pollefeys. (2023). DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. Lund University Publications (Lund University). 17327–17336. 35 indexed citations
11.
Hajder, Levente, et al.. (2023). Fast Globally Optimal Surface Normal from an Affine Correspondence. 68. 3367–3378.
12.
13.
Wang, Shuzhe, Juho Kannala, Marc Pollefeys, & Dániel Baráth. (2023). Guiding Local Feature Matching with Surface Curvature. Aaltodoc (Aalto University). 17935–17945. 1 indexed citations
14.
Larsson, Viktor, et al.. (2023). Revisiting Rotation Averaging: Uncertainties and Robust Losses. Lund University Publications (Lund University). 17215–17224. 2 indexed citations
15.
Baráth, Dániel, et al.. (2022). Relative Pose from a Calibrated and an Uncalibrated Smartphone Image. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12756–12765. 3 indexed citations
16.
Baráth, Dániel, et al.. (2021). Globally Optimal Relative Pose Estimation with Gravity Prior. 394–403. 15 indexed citations
17.
Baráth, Dániel, et al.. (2021). Minimal Solutions for Panoramic Stitching Given Gravity Prior. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5559–5568. 7 indexed citations
18.
Baráth, Dániel & Jiřı́ Matas. (2018). Graph-Cut RANSAC. 6733–6741. 203 indexed citations
19.
Baráth, Dániel & Levente Hajder. (2016). Energy-based topological outlier filtering. 1237–1242.
20.
Baráth, Dániel, Jiřı́ Matas, & Levente Hajder. (2016). Multi-H: Efficient recovery of tangent planes in stereo images. 13.1–13.13. 9 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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