Leonid Pishchulin

7.2k total citations · 2 hit papers
18 papers, 3.3k citations indexed

About

Leonid Pishchulin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Leonid Pishchulin has authored 18 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 2 papers in Biomedical Engineering. Recurrent topics in Leonid Pishchulin's work include Human Pose and Action Recognition (15 papers), Video Surveillance and Tracking Methods (12 papers) and Advanced Vision and Imaging (6 papers). Leonid Pishchulin is often cited by papers focused on Human Pose and Action Recognition (15 papers), Video Surveillance and Tracking Methods (12 papers) and Advanced Vision and Imaging (6 papers). Leonid Pishchulin collaborates with scholars based in Germany, United States and Switzerland. Leonid Pishchulin's co-authors include Bernt Schiele, Mykhaylo Andriluka, Peter Gehler, Bjoern Andres, Eldar Insafutdinov, Siyu Tang, A. Jain, Christian Theobalt, Thorsten Thormählen and Stefanie Wuhrer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Computer Vision and Image Understanding.

In The Last Decade

Leonid Pishchulin

18 papers receiving 3.2k 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.

2D Human Pose Estimation: New Benchmark and State of the Art Analysis

2014 1.5k citations Mykhaylo Andriluka, Leonid Pishchulin et al. profile →
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

2016 622 citations Leonid Pishchulin, Eldar Insafutdinov et al. profile →

Peers

Leonid Pishchulin

CVPR

HI

AI

BE

CM

Catalin Ionescu Romania

Vlad Olaru Romania

Sijie Yan China

Dushyant Mehta Germany

Mykhaylo Andriluka Germany

Helge Rhodin Canada

Javier Romero Germany

Oleksandr Sotnychenko Germany

Dan Casas Spain

Siyu Tang Germany

Catalin Ionescu Romania

Leonid Pishchulin

2.1k ×0.7

CVPR

393 ×0.5

HI

407 ×0.6

AI

518 ×0.8

BE

295 ×1.0

CM

Citations per year, relative to Leonid Pishchulin Leonid Pishchulin (= 1×) peers Catalin Ionescu

Countries citing papers authored by Leonid Pishchulin

Since Specialization

Citations

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

Fields of papers citing papers by Leonid Pishchulin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonid Pishchulin

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

18 of 18 papers shown

1.

Guigues, Laurent, et al.. (2021). TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking. 15185–15195. 75 indexed citations

2.

Khoreva, Anna, et al.. (2018). Learning to Refine Human Pose Estimation. 318–31809. 61 indexed citations

3.

Insafutdinov, Eldar, Mykhaylo Andriluka, Leonid Pishchulin, et al.. (2017). ArtTrack: Articulated Multi-Person Tracking in the Wild. 1293–1301. 151 indexed citations

4.

Pishchulin, Leonid, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, & Bernt Schiele. (2017). Building statistical shape spaces for 3D human modeling. Pattern Recognition. 67. 276–286. 121 indexed citations

5.

Insafutdinov, Eldar, Mykhaylo Andriluka, Leonid Pishchulin, et al.. (2016). Articulated Multi-person Tracking in the Wild.. arXiv (Cornell University). 12 indexed citations

6.

Pishchulin, Leonid, Eldar Insafutdinov, Siyu Tang, et al.. (2016). DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation. 4929–4937. 622 indexed citations breakdown →

7.

Aguiar, Edilson de, A. Jain, Jayne Thompson, et al.. (2016). MARCOnI—ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(3). 501–514. 46 indexed citations

8.

Aguiar, Edilson de, A. Jain, Jonathan Tompson, et al.. (2015). Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras. 3810–3818. 93 indexed citations

9.

Andriluka, Mykhaylo, Leonid Pishchulin, Peter Gehler, & Bernt Schiele. (2014). 2D Human Pose Estimation: New Benchmark and State of the Art Analysis. 3686–3693. 1536 indexed citations breakdown →

10.

Wuhrer, Stefanie, Leonid Pishchulin, Alan Brunton, Chang Shu, & Jochen Lang. (2014). Estimation of human body shape and posture under clothing. Computer Vision and Image Understanding. 127. 31–42. 38 indexed citations

11.

Pishchulin, Leonid, Mykhaylo Andriluka, Peter Gehler, & Bernt Schiele. (2013). Strong Appearance and Expressive Spatial Models for Human Pose Estimation. 3487–3494. 128 indexed citations

12.

Pishchulin, Leonid, Mykhaylo Andriluka, Peter Gehler, & Bernt Schiele. (2013). Poselet Conditioned Pictorial Structures. 588–595. 217 indexed citations

13.

Pishchulin, Leonid, A. Jain, Mykhaylo Andriluka, Thorsten Thormählen, & Bernt Schiele. (2012). Articulated people detection and pose estimation: Reshaping the future. 3178–3185. 127 indexed citations

14.

Pishchulin, Leonid, Tobias Gass, Philippe Dreuw, & Hermann Ney. (2011). Image warping for face recognition: From local optimality towards global optimization. Pattern Recognition. 45(9). 3131–3140. 15 indexed citations

15.

Pishchulin, Leonid, Arjun Jain, Christian Wojek, et al.. (2011). Learning people detection models from few training samples. Max Planck Institute for Plasma Physics. 48 indexed citations

16.

Pishchulin, Leonid, et al.. (2011). In Good Shape: Robust People Detection based on Appearance and Shape. Max Planck Institute for Plasma Physics. 5.1–5.12. 8 indexed citations

17.

Gass, Tobias, Leonid Pishchulin, Philippe Dreuw, & Hermann Ney. (2011). Warp that smile on your face: Optimal and smooth deformations for face recognition. Max Planck Institute for Plasma Physics. 456–463. 7 indexed citations

18.

Pishchulin, Leonid. (2010). Matching Algorithms for Image Recognition. Max Planck Digital Library. 1 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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