Bugra Tekin

2.2k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Bugra Tekin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Bugra Tekin has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Computational Mechanics. Recurrent topics in Bugra Tekin's work include Human Pose and Action Recognition (10 papers), Advanced Vision and Imaging (5 papers) and Multimodal Machine Learning Applications (3 papers). Bugra Tekin is often cited by papers focused on Human Pose and Action Recognition (10 papers), Advanced Vision and Imaging (5 papers) and Multimodal Machine Learning Applications (3 papers). Bugra Tekin collaborates with scholars based in Switzerland, United Kingdom and United States. Bugra Tekin's co-authors include Pascal Fua, Sudipta N. Sinha, Mathieu Salzmann, Vincent Lepetit, Pablo Márquez-Neila, Isinsu Katircioglu, Federica Bogo, Marc Pollefeys, Ivan Laptev and Yana Hasson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Bugra Tekin

14 papers receiving 1.1k citations

Hit Papers

Real-Time Seamless Single Shot 6D Object Pose Prediction 2018 2026 2020 2023 2018 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. Real-Time Seamless Single Shot 6D Object Pose Prediction
    2018 541 citations Bugra Tekin, Sudipta N. Sinha et al. Infoscience (Ecole Polytechnique Fédérale de Lausanne) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bugra Tekin Switzerland 9 909 493 379 252 167 14 1.1k
Georgios Pavlakos United States 15 1.7k 1.9× 365 0.7× 209 0.6× 354 1.4× 334 2.0× 27 1.9k
Ju Shen United States 11 605 0.7× 106 0.2× 108 0.3× 147 0.6× 163 1.0× 39 800
Cédric Cagniart Germany 8 773 0.9× 431 0.9× 541 1.4× 90 0.4× 110 0.7× 12 1.0k
Liuhao Ge Singapore 10 1.2k 1.3× 498 1.0× 39 0.1× 856 3.4× 187 1.1× 10 1.4k
Chunyu Wang China 16 1.2k 1.3× 79 0.2× 141 0.4× 256 1.0× 290 1.7× 38 1.3k
Matthew Koichi Grimes United Kingdom 3 1.1k 1.2× 157 0.3× 1.0k 2.7× 46 0.2× 57 0.3× 3 1.4k
Katerina Fragkiadaki United States 11 974 1.1× 307 0.6× 83 0.2× 57 0.2× 113 0.7× 35 1.1k
Yujin Chen China 10 452 0.5× 74 0.2× 90 0.2× 139 0.6× 163 1.0× 16 622
Benjamin Busam Germany 16 422 0.5× 238 0.5× 245 0.6× 32 0.1× 110 0.7× 52 706

Countries citing papers authored by Bugra Tekin

Since Specialization
Citations

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

Fields of papers citing papers by Bugra Tekin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bugra Tekin

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

All Works

14 of 14 papers shown
1.
Şener, Fadime, Edoardo Remelli, Bugra Tekin, et al.. (2024). X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. 26354–26363. 1 indexed citations
2.
Şener, Fadime, Edoardo Remelli, Tomáš Hodaň, et al.. (2024). DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions. 1–11. 2 indexed citations
3.
Wang, Xin, Mahdi Rad, Bowen Pan, et al.. (2023). HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World. 20213–20224. 13 indexed citations
4.
Tekin, Bugra, et al.. (2022). Context-Aware Sequence Alignment using 4D Skeletal Augmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8162–8172. 4 indexed citations
5.
Hasson, Yana, Bugra Tekin, Federica Bogo, et al.. (2020). Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. HAL (Le Centre pour la Communication Scientifique Directe). 568–577. 120 indexed citations
6.
Zia, M. Zeeshan, Bugra Tekin, Federica Bogo, et al.. (2019). Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition. arXiv (Cornell University). 17 indexed citations
7.
Tekin, Bugra. (2018). Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
8.
Katircioglu, Isinsu, Bugra Tekin, Mathieu Salzmann, Vincent Lepetit, & Pascal Fua. (2018). Learning Latent Representations of 3D Human Pose with Deep Neural Networks. International Journal of Computer Vision. 126(12). 1326–1341. 53 indexed citations
9.
Tekin, Bugra, Sudipta N. Sinha, & Pascal Fua. (2018). Real-Time Seamless Single Shot 6D Object Pose Prediction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 292–301. 541 indexed citations breakdown →
10.
Tekin, Bugra, Pablo Márquez-Neila, Mathieu Salzmann, & Pascal Fua. (2017). Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3961–3970. 147 indexed citations
11.
Tekin, Bugra, Pablo Márquez-Neila, Mathieu Salzmann, & Pascal Fua. (2016). Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation.. arXiv (Cornell University). 13 indexed citations
12.
Tekin, Bugra, Isinsu Katircioglu, Mathieu Salzmann, Vincent Lepetit, & Pascal Fua. (2016). Structured Prediction of 3D Human Pose with Deep Neural Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 130.1–130.11. 147 indexed citations
13.
Sironi, Amos, Bugra Tekin, Roberto Rigamonti, Vincent Lepetit, & Pascal Fua. (2014). Learning Separable Filters. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(1). 94–106. 66 indexed citations
14.
Tekin, Bugra, Ulugbek S. Kamilov, Emrah Bostan, & Michaël Unser. (2013). Benefits of consistency in image denoising with steerable wavelets. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 20. 1355–1358. 3 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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