Chenglei Wu

2.5k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Chenglei Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chenglei Wu has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Mechanics and 15 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chenglei Wu's work include Advanced Vision and Imaging (18 papers), 3D Shape Modeling and Analysis (17 papers) and Computer Graphics and Visualization Techniques (15 papers). Chenglei Wu is often cited by papers focused on Advanced Vision and Imaging (18 papers), 3D Shape Modeling and Analysis (17 papers) and Computer Graphics and Visualization Techniques (15 papers). Chenglei Wu collaborates with scholars based in United States, Germany and Switzerland. Chenglei Wu's co-authors include Christian Theobalt, Michael Zollhöfer, Matthias Nießner, Marc Stamminger, Pablo Garrido, Yaser Sheikh, Shahram Izadi, Bennett Wilburn, Levi Valgaerts and Hans‐Peter Seidel and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Prosthetic Dentistry and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Chenglei Wu

29 papers receiving 1.4k citations

Hit Papers

Real-time non-rigid reconstruction using an RGB-D camera 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglei Wu United States 21 1.3k 645 442 218 158 30 1.5k
Forrester Cole United States 21 1.2k 1.0× 712 1.1× 707 1.6× 113 0.5× 141 0.9× 39 1.7k
Thorsten Thormählen Germany 18 1.1k 0.8× 467 0.7× 302 0.7× 191 0.9× 153 1.0× 44 1.3k
Thibaut Weise Switzerland 13 1.3k 1.0× 537 0.8× 188 0.4× 162 0.7× 120 0.8× 19 1.7k
Youyi Zheng China 22 991 0.8× 807 1.3× 586 1.3× 113 0.5× 193 1.2× 60 1.5k
Tiberiu Popa Canada 18 831 0.6× 493 0.8× 383 0.9× 82 0.4× 53 0.3× 45 1.2k
Graham Fyffe United States 18 1.4k 1.1× 432 0.7× 731 1.7× 71 0.3× 70 0.4× 41 1.6k
Kiran Varanasi Germany 12 807 0.6× 443 0.7× 161 0.4× 163 0.7× 81 0.5× 24 948
Brian Amberg Switzerland 8 1.3k 1.0× 594 0.9× 130 0.3× 128 0.6× 48 0.3× 10 1.5k
Wan‐Chun Ma United States 16 692 0.5× 378 0.6× 344 0.8× 31 0.1× 31 0.2× 36 837
Mingsong Dou United States 13 713 0.6× 331 0.5× 212 0.5× 211 1.0× 84 0.5× 17 815

Countries citing papers authored by Chenglei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglei Wu. A scholar is included among the top collaborators of Chenglei Wu 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 Chenglei Wu. Chenglei Wu 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.
Wood, Erroll, et al.. (2024). Learning to Stabilize Faces. Computer Graphics Forum. 43(2). 2 indexed citations
2.
Saito, Shunsuke, et al.. (2023). CT2Hair: High-Fidelity 3D Hair Modeling using Computed Tomography. ACM Transactions on Graphics. 42(4). 1–13. 13 indexed citations
3.
Xiang, Donglai, Timur Bagautdinov, Javier M. Romero, et al.. (2022). Dressing Avatars. ACM Transactions on Graphics. 41(6). 1–15. 28 indexed citations
4.
Bagautdinov, Timur, Chenglei Wu, Tomas Simon, et al.. (2021). Driving-signal aware full-body avatars. ACM Transactions on Graphics. 40(4). 1–17. 3 indexed citations
5.
Xiang, Donglai, Timur Bagautdinov, Weipeng Xu, et al.. (2021). Modeling clothing as a separate layer for an animatable human avatar. ACM Transactions on Graphics. 40(6). 1–15. 34 indexed citations
6.
Zhou, Yi, Chenglei Wu, Zimo Li, et al.. (2020). Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels. Neural Information Processing Systems. 33. 9251–9262. 4 indexed citations
7.
Smith, Breannan, Chenglei Wu, He Wen, et al.. (2020). Constraining dense hand surface tracking with elasticity. ACM Transactions on Graphics. 39(6). 1–14. 45 indexed citations
8.
Sailer, Irena, Shiming Liu, Thabo Beeler, et al.. (2018). Comparison of user satisfaction and image quality of fixed and mobile camera systems for 3-dimensional image capture of edentulous patients: A pilot clinical study. Journal of Prosthetic Dentistry. 120(4). 520–524. 9 indexed citations
9.
Wu, Chenglei, Takaaki Shiratori, & Yaser Sheikh. (2018). Deep incremental learning for efficient high-fidelity face tracking. ACM Transactions on Graphics. 37(6). 1–12. 24 indexed citations
10.
Wu, Chenglei, et al.. (2018). Learning Patch Reconstructability for Accelerating Multi-view Stereo. 33. 3041–3050. 5 indexed citations
11.
Bagautdinov, Timur, Chenglei Wu, Jason Saragih, Pascal Fua, & Yaser Sheikh. (2018). Modeling Facial Geometry Using Compositional VAEs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3877–3886. 65 indexed citations
12.
Wu, Chenglei, Derek Bradley, Pablo Garrido, et al.. (2016). Model-based teeth reconstruction. ACM Transactions on Graphics. 35(6). 1–13. 50 indexed citations
13.
Wu, Chenglei, Derek Bradley, Markus Groß, & Thabo Beeler. (2016). An anatomically-constrained local deformation model for monocular face capture. ACM Transactions on Graphics. 35(4). 1–12. 64 indexed citations
14.
Garrido, Pablo, Michael Zollhöfer, Chenglei Wu, et al.. (2016). Corrective 3D reconstruction of lips from monocular video. ACM Transactions on Graphics. 35(6). 1–11. 28 indexed citations
15.
Wu, Chenglei, Michael Zollhöfer, Matthias Nießner, et al.. (2014). Real-time shading-based refinement for consumer depth cameras. ACM Transactions on Graphics. 33(6). 1–10. 84 indexed citations
16.
Li, Guannan, Chenglei Wu, Carsten Stoll, et al.. (2013). Capturing Relightable Human Performances under General Uncontrolled Illumination. Computer Graphics Forum. 32(2pt3). 275–284. 28 indexed citations
17.
Garrido, Pablo, et al.. (2013). Reconstructing detailed dynamic face geometry from monocular video. ACM Transactions on Graphics. 32(6). 1–10. 138 indexed citations
18.
Valgaerts, Levi, Chenglei Wu, Andrés Bruhn, Hans‐Peter Seidel, & Christian Theobalt. (2012). Lightweight binocular facial performance capture under uncontrolled lighting. ACM Transactions on Graphics. 31(6). 1–11. 99 indexed citations
19.
Wu, Chenglei, Bennett Wilburn, Yasuyuki Matsushita, & Christian Theobalt. (2011). High-quality shape from multi-view stereo and shading under general illumination. Max Planck Institute for Plasma Physics. 969–976. 97 indexed citations
20.
Wu, Chenglei, Yebin Liu, Qionghai Dai, & Bennett Wilburn. (2010). Fusing Multiview and Photometric Stereo for 3D Reconstruction under Uncalibrated Illumination. IEEE Transactions on Visualization and Computer Graphics. 17(8). 1082–1095. 55 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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