Sameh Khamis

4.5k total citations · 2 hit papers
23 papers, 1.8k citations indexed

About

Sameh Khamis is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Sameh Khamis has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Sameh Khamis's work include Advanced Vision and Imaging (13 papers), Human Pose and Action Recognition (8 papers) and 3D Shape Modeling and Analysis (8 papers). Sameh Khamis is often cited by papers focused on Advanced Vision and Imaging (13 papers), Human Pose and Action Recognition (8 papers) and 3D Shape Modeling and Analysis (8 papers). Sameh Khamis collaborates with scholars based in United States, Canada and United Kingdom. Sameh Khamis's co-authors include Shahram Izadi, Koki Nagano, Jonathan M. Taylor, Eric R. Chan, Connor Z. Lin, Leonidas Guibas, Orazio Gallo, Tero Karras, Gordon Wetzstein and Boxiao Pan and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Sameh Khamis

23 papers receiving 1.8k citations

Hit Papers

Efficient Geometry-aware 3D Gener... 2016 2026 2019 2022 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameh Khamis United States 14 1.5k 680 629 313 264 23 1.8k
Carsten Stoll Germany 20 1.7k 1.1× 965 1.4× 475 0.8× 109 0.3× 445 1.7× 30 2.0k
Albert Pumarola Spain 13 1.8k 1.2× 607 0.9× 517 0.8× 109 0.3× 288 1.1× 23 2.1k
Christian Richardt United Kingdom 18 1.5k 1.0× 304 0.4× 477 0.8× 169 0.5× 115 0.4× 60 1.7k
Vladislav Golyanik Germany 17 1.1k 0.7× 479 0.7× 361 0.6× 88 0.3× 309 1.2× 67 1.4k
Stephen Lombardi United States 16 1.5k 1.0× 701 1.0× 734 1.2× 111 0.4× 124 0.5× 22 1.8k
Philip Davidson United States 19 1.2k 0.8× 581 0.9× 613 1.0× 287 0.9× 140 0.5× 31 1.4k
Thorsten Thormählen Germany 18 1.1k 0.7× 467 0.7× 302 0.5× 94 0.3× 163 0.6× 44 1.3k
Enric Corona Spain 8 893 0.6× 486 0.7× 434 0.7× 95 0.3× 245 0.9× 11 1.1k
Christoph Lassner Germany 11 1.4k 0.9× 912 1.3× 573 0.9× 65 0.2× 193 0.7× 20 1.7k
Forrester Cole United States 21 1.2k 0.8× 712 1.0× 707 1.1× 80 0.3× 135 0.5× 39 1.7k

Countries citing papers authored by Sameh Khamis

Since Specialization
Citations

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

Fields of papers citing papers by Sameh Khamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameh Khamis

This figure shows the co-authorship network connecting the top 25 collaborators of Sameh Khamis. A scholar is included among the top collaborators of Sameh Khamis 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 Sameh Khamis. Sameh Khamis 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.
Stengel, Michael, Eric R. Chan, Zhiding Yu, et al.. (2023). Real-Time Radiance Fields for Single-Image Portrait View Synthesis. ACM Transactions on Graphics. 42(4). 1–15. 32 indexed citations
2.
Iqbal, Umar, et al.. (2023). RANA: Relightable Articulated Neural Avatars. 23085–23096. 8 indexed citations
3.
Wang, Jingbo, Ye Yuan, Zhengyi Luo, et al.. (2023). Learning Human Dynamics in Autonomous Driving Scenarios. 20739–20749. 9 indexed citations
4.
Yeh, Yu-Ying, Koki Nagano, Sameh Khamis, et al.. (2022). Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. ACM Transactions on Graphics. 41(6). 1–21. 40 indexed citations
5.
Gojčič, Žan, Sameh Khamis, Denis Zorin, et al.. (2022). Neural Fields as Learnable Kernels for 3D Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18479–18489. 32 indexed citations
6.
Chan, Eric R., Connor Z. Lin, Matthew A. Chan, et al.. (2022). Efficient Geometry-aware 3D Generative Adversarial Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16102–16112. 600 indexed citations breakdown →
7.
Yin, Kangxue, Jun Gao, Maria Shugrina, Sameh Khamis, & Sanja Fidler. (2021). 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12436–12445. 43 indexed citations
8.
Goldman, Dan B, Sameh Khamis, Hugues Hoppe, et al.. (2019). Neural Rerendering in the Wild. 6871–6880. 108 indexed citations
9.
Martin-Brualla, Ricardo, Rohit Pandey, Jonathan M. Taylor, et al.. (2018). LookinGood. ACM Transactions on Graphics. 37(6). 1–14. 66 indexed citations
10.
Kowdle, Adarsh, Christoph Rhemann, Sean Fanello, et al.. (2018). The need 4 speed in real-time dense visual tracking. ACM Transactions on Graphics. 37(6). 1–14. 23 indexed citations
11.
Dou, Mingsong, Philip Davidson, Sean Fanello, et al.. (2017). Motion2fusion. ACM Transactions on Graphics. 36(6). 1–16. 111 indexed citations
12.
Taylor, Jonathan M., Lucas Bordeaux, Thomas J. Cashman, et al.. (2016). Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences. ACM Transactions on Graphics. 35(4). 1–12. 193 indexed citations
13.
Dou, Mingsong, Sameh Khamis, Philip Davidson, et al.. (2016). Fusion4D. ACM Transactions on Graphics. 35(4). 1–13. 317 indexed citations breakdown →
14.
Tan, David Joseph, Thomas J. Cashman, Jonathan M. Taylor, et al.. (2016). Fits Like a Glove: Rapid and Reliable Hand Shape Personalization. 5610–5619. 58 indexed citations
15.
Khamis, Sameh & Larry S. Davis. (2015). Walking and talking: A bilinear approach to multi-label action recognition. 1–8. 6 indexed citations
16.
Khamis, Sameh, Jonathan M. Taylor, Jamie Shotton, et al.. (2015). Learning an efficient model of hand shape variation from depth images. 69 indexed citations
17.
Khamis, Sameh & Christoph H. Lampert. (2014). CoConut: Co-classification with output space regularization. British Machine Vision Conference. 3 indexed citations
18.
London, Ben, Sameh Khamis, Stephen H. Bach, et al.. (2013). Collective Activity Detection Using Hinge-loss Markov Random Fields. 566–571. 9 indexed citations
19.
Kuo, Cheng-Hao, Sameh Khamis, & Vinay Shet. (2013). Person re-identification using semantic color names and RankBoost. 281–287. 61 indexed citations
20.
Khamis, Sameh, Frederick Mosteller, & David L. Wallace. (1966). Inference and Disputed Authorship: The Federalist. Revue de l Institut International de Statistique / Review of the International Statistical Institute. 34(2). 277–277. 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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