Laura Leal-Taixé

9.0k total citations · 3 hit papers
66 papers, 3.0k citations indexed

About

Laura Leal-Taixé is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Laura Leal-Taixé has authored 66 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Laura Leal-Taixé's work include Video Surveillance and Tracking Methods (23 papers), Human Pose and Action Recognition (13 papers) and Advanced Neural Network Applications (12 papers). Laura Leal-Taixé is often cited by papers focused on Video Surveillance and Tracking Methods (23 papers), Human Pose and Action Recognition (13 papers) and Advanced Neural Network Applications (12 papers). Laura Leal-Taixé collaborates with scholars based in Germany, Switzerland and United States. Laura Leal-Taixé's co-authors include Bodo Rosenhahn, Torsten Sattler, Tim Meinhardt, Christoph Feichtenhofer, Alexander Kirillov, Qunjie Zhou, Daniel Cremers, Marc Pollefeys, Gerard Pons‐Moll and Alina Kuznetsova and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Astronomy and Astrophysics.

In The Last Decade

Laura Leal-Taixé

62 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

TrackFormer: Multi-Object Tracking with Transformers

2022 524 citations Tim Meinhardt, Alexander Kirillov et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Image-Based Localization Using LSTMs for Structured Feature Correlation

2017 301 citations Caner Hazırbaş, Laura Leal-Taixé et al. profile →
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression

2019 245 citations Torsten Sattler, Qunjie Zhou et al. profile →

Peers

Laura Leal-Taixé

CVPR

AE

AI

AE

SRRQ

Jiangmiao Pang China

Kailun Yang China

Xin Zhao China

Roberto Arroyo Spain

Ángel D. Sappa Spain

Yassine Ruichek France

Anton Milan Australia

Ramakant Nevatia United States

Eduardo Romera Spain

Matej Kristan Slovenia

Jiangmiao Pang China

Laura Leal-Taixé

2.5k ×1.1

CVPR

691 ×0.7

AE

847 ×1.4

AI

165 ×0.6

AE

108 ×0.5

SRRQ

Citations per year, relative to Laura Leal-Taixé Laura Leal-Taixé (= 1×) peers Jiangmiao Pang

Countries citing papers authored by Laura Leal-Taixé

Since Specialization

Citations

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

Fields of papers citing papers by Laura Leal-Taixé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Leal-Taixé. 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 Laura Leal-Taixé. The network helps show where Laura Leal-Taixé may publish in the future.

Co-authorship network of co-authors of Laura Leal-Taixé

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Leal-Taixé. A scholar is included among the top collaborators of Laura Leal-Taixé 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 Laura Leal-Taixé. Laura Leal-Taixé 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:

20 of 20 papers shown

1.

Zhang, Yushan, Aljoša Ošep, Laura Leal-Taixé, & Tim Meinhardt. (2025). Zero-Shot 4D Lidar Panoptic Segmentation. 24506–24517. 1 indexed citations

2.

Zhou, Qunjie, et al.. (2025). Light3R-SfM: Towards Feed-forward Structure-from-Motion. 16774–16784.

3.

Schuldt, S., Y. Shu, S. Taubenberger, et al.. (2024). HOLISMOKES. Astronomy and Astrophysics. 692. A72–A72. 6 indexed citations

4.

Maximov, Maxim, et al.. (2024). Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis. abs/1603.00831. 1–10. 1 indexed citations

5.

Saltori, Cristiano, Aljoša Ošep, Elisa Ricci, & Laura Leal-Taixé. (2023). Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. 196–206. 5 indexed citations

6.

Schuldt, S., Y. Shu, S. H. Suyu, et al.. (2023). HOLISMOKES. Astronomy and Astrophysics. 671. A147–A147. 12 indexed citations

7.

Meinhardt, Tim, Alexander Kirillov, Laura Leal-Taixé, & Christoph Feichtenhofer. (2022). TrackFormer: Multi-Object Tracking with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8834–8844. 524 indexed citations breakdown →

8.

Luiten, Jonathon, et al.. (2022). Forecasting from LiDAR via Future Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17181–17190. 22 indexed citations

9.

Rußwurm, Marc, Andrés Camero, Grega Milčinski, et al.. (2021). DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. elib (German Aerospace Center). 10 indexed citations

10.

Kim, Alexander, Aljoša Ošep, & Laura Leal-Taixé. (2021). EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. 11315–11321. 128 indexed citations

11.

Leal-Taixé, Laura, et al.. (2020). Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. Neural Information Processing Systems. 33. 10491–10502. 1 indexed citations

12.

Henschel, Roberto, Laura Leal-Taixé, Daniel Cremers, & Bodo Rosenhahn. (2018). Fusion of Head and Full-Body Detectors for Multi-object Tracking. 1509–150909. 93 indexed citations

13.

Domokos, Csaba, et al.. (2018). Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. 1614–1624. 5 indexed citations

14.

Hazırbaş, Caner, et al.. (2017). Image-Based Localization Using LSTMs for Structured Feature Correlation. 627–637. 301 indexed citations breakdown →

15.

Henschel, Roberto, Laura Leal-Taixé, Daniel Cremers, & Bodo Rosenhahn. (2017). Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking.. arXiv (Cornell University). 13 indexed citations

16.

Henschel, Roberto, Laura Leal-Taixé, Daniel Cremers, & Bodo Rosenhahn. (2017). A Novel Multi-Detector Fusion Framework for Multi-Object Tracking. arXiv (Cornell University). 9 indexed citations

17.

Hazırbaş, Caner, et al.. (2016). Image-based Localization with Spatial LSTMs.. arXiv (Cornell University). 28 indexed citations

18.

Matas, Jiřı́, Vittorio Murino, Bodo Rosenhahn, & Laura Leal-Taixé. (2015). Holistic Scene Understanding (Dagstuhl Seminar 15081). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

19.

Oliveira, Dário Augusto Borges, Laura Leal-Taixé, Raul Queiroz Feitosa, & Bodo Rosenhahn. (2015). Automatic tracking of vessel-like structures from a single starting point. Computerized Medical Imaging and Graphics. 47. 1–15. 10 indexed citations

20.

Leal-Taixé, Laura, et al.. (2014). Learning an Image-Based Motion Context for Multiple People Tracking. 3542–3549. 167 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