Ľubor Ladický

4.0k total citations · 2 hit papers
26 papers, 1.9k citations indexed

About

Ľubor Ladický is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Ľubor Ladický has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 4 papers in Ocean Engineering and 4 papers in Environmental Engineering. Recurrent topics in Ľubor Ladický's work include Advanced Image and Video Retrieval Techniques (14 papers), Advanced Vision and Imaging (7 papers) and Medical Image Segmentation Techniques (6 papers). Ľubor Ladický is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Advanced Vision and Imaging (7 papers) and Medical Image Segmentation Techniques (6 papers). Ľubor Ladický collaborates with scholars based in United Kingdom, Switzerland and United States. Ľubor Ladický's co-authors include Pushmeet Kohli, Philip H. S. Torr, Philip H. S. Torr, Chris Russell, Paul Sturgess, Marc Pollefeys, Karteek Alahari, Sunando Sengupta, Nikolay Savinov and Andrew Zisserman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Ľubor Ladický

26 papers receiving 1.9k citations

Hit Papers

Robust Higher Order Potentials for Enforcing Label Consis... 2009 2026 2014 2020 2009 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust Higher Order Potentials for Enforcing Label Consistency
    2009 570 citations Pushmeet Kohli, Ľubor Ladický et al. International Journal of Computer Vision profile →
  2. Associative hierarchical CRFs for object class image segmentation
    2009 403 citations Ľubor Ladický, Chris Russell et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ľubor Ladický United Kingdom 17 1.6k 374 340 259 176 26 1.9k
Xuran Pan China 11 989 0.6× 331 0.9× 256 0.8× 313 1.2× 173 1.0× 16 1.7k
Germán Ros Spain 6 1.3k 0.8× 609 1.6× 230 0.7× 269 1.0× 129 0.7× 12 1.7k
David Eigen United States 6 2.0k 1.2× 451 1.2× 343 1.0× 665 2.6× 118 0.7× 9 2.3k
João Carreira United States 18 1.6k 1.0× 349 0.9× 338 1.0× 133 0.5× 73 0.4× 30 1.9k
Nan Xue China 16 1.8k 1.1× 273 0.7× 737 2.2× 738 2.8× 126 0.7× 33 2.2k
Yinjie Lei China 27 1.4k 0.8× 477 1.3× 200 0.6× 267 1.0× 184 1.0× 71 2.0k
Dayan Guan Singapore 18 859 0.5× 518 1.4× 170 0.5× 221 0.9× 123 0.7× 26 1.3k
Xiaoyi Dong China 11 1.0k 0.6× 504 1.3× 136 0.4× 252 1.0× 80 0.5× 26 1.6k
Srikumar Ramalingam United States 19 1.4k 0.9× 145 0.4× 385 1.1× 686 2.6× 94 0.5× 39 1.9k

Countries citing papers authored by Ľubor Ladický

Since Specialization
Citations

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

Fields of papers citing papers by Ľubor Ladický

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ľubor Ladický

This figure shows the co-authorship network connecting the top 25 collaborators of Ľubor Ladický. A scholar is included among the top collaborators of Ľubor Ladický 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 Ľubor Ladický. Ľubor Ladický 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.
Ladický, Ľubor, et al.. (2020). Precomputed Radiance Transfer for Reflectance and Lighting Estimation. 20. 1147–1156. 1 indexed citations
2.
Häckel, Timo, Jan Dirk Wegner, Nikolay Savinov, et al.. (2018). Large-Scale Supervised Learning For 3D Point Cloud Labeling: Semantic3d.Net. Photogrammetric Engineering & Remote Sensing. 84(5). 297–308. 18 indexed citations
3.
Savinov, Nikolay, Ľubor Ladický, & Marc Pollefeys. (2017). Matching neural paths: transfer from recognition to correspondence search. arXiv (Cornell University). 30. 1205–1214. 2 indexed citations
4.
Savinov, Nikolay, Akihito Seki, Ľubor Ladický, Torsten Sattler, & Marc Pollefeys. (2017). Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. 3929–3937. 110 indexed citations
5.
Savinov, Nikolay, Ľubor Ladický, Christian Häne, & Marc Pollefeys. (2015). Discrete optimization of ray potentials for semantic 3D reconstruction. 5511–5518. 22 indexed citations
6.
Montoya‐Zegarra, Javier A., Jan Dirk Wegner, Ľubor Ladický, & Konrad Schindler. (2015). SEMANTIC SEGMENTATION OF AERIAL IMAGES IN URBAN AREAS WITH CLASS-SPECIFIC HIGHER-ORDER CLIQUES. SHILAP Revista de lepidopterología. II-3/W4. 127–133. 32 indexed citations
7.
Hoai, Minh, Ľubor Ladický, & Andrew Zisserman. (2014). Action Recognition From Weak Alignment of Body Parts. 86.1–86.12. 13 indexed citations
8.
Ladický, Ľubor, Chris Russell, Pushmeet Kohli, & Philip H. S. Torr. (2013). Associative Hierarchical Random Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(6). 1056–1077. 62 indexed citations
9.
Ladický, Ľubor, Philip H. S. Torr, & Andrew Zisserman. (2013). Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. 57 indexed citations
10.
Sengupta, Sunando, Paul Sturgess, Ľubor Ladický, & Philip H. S. Torr. (2012). Automatic dense visual semantic mapping from street-level imagery. 857–862. 60 indexed citations
11.
Ladický, Ľubor, Chris Russell, Pushmeet Kohli, & Philip H. S. Torr. (2012). Inference Methods for CRFs with Co-occurrence Statistics. International Journal of Computer Vision. 103(2). 213–225. 35 indexed citations
12.
Sturgess, Paul, Ľubor Ladický, Nigel Crook, & Philip H. S. Torr. (2012). Scalable Cascade Inference for Semantic Image Segmentation. 62.1–62.10. 9 indexed citations
13.
Russell, Chris, Ľubor Ladický, Pushmeet Kohli, & Philip H. S. Torr. (2012). Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. arXiv (Cornell University). 501–508. 8 indexed citations
14.
Ladický, Ľubor, Philip H. S. Torr, & Andrew Zisserman. (2012). Latent SVMs for Human Detection with a Locally Affine Deformation Field. 10.1–10.11. 5 indexed citations
15.
Ladický, Ľubor & Philip H. S. Torr. (2011). Locally Linear Support Vector Machines. Oxford University Research Archive (ORA) (University of Oxford). 985–992. 76 indexed citations
16.
Ladický, Ľubor, Paul Sturgess, Chris Russell, et al.. (2011). Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. International Journal of Computer Vision. 100(2). 122–133. 77 indexed citations
17.
Kohli, Pushmeet, Ľubor Ladický, & Philip H. S. Torr. (2009). Robust Higher Order Potentials for Enforcing Label Consistency. International Journal of Computer Vision. 82(3). 302–324. 570 indexed citations breakdown →
18.
Sturgess, Paul, Karteek Alahari, Ľubor Ladický, & Philip H. S. Torr. (2009). Combining Appearance and Structure from Motion Features for Road Scene Understanding. 62.1–62.11. 137 indexed citations
19.
Kohli, Pushmeet, Ľubor Ladický, & Philip H. S. Torr. (2008). Robust higher order potentials for enforcing label consistency. 1–8. 133 indexed citations
20.
Kohli, Pushmeet, Ľubor Ladický, & Philip H. S. Torr. (2008). Graph Cuts for Minimizing Robust Higher Order Potentials. 15 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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