Shangzhe Wu

1.4k total citations
18 papers, 411 citations indexed

About

Shangzhe Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Shangzhe Wu has authored 18 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 4 papers in Aerospace Engineering. Recurrent topics in Shangzhe Wu's work include Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Shangzhe Wu is often cited by papers focused on Advanced Vision and Imaging (10 papers), 3D Shape Modeling and Analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Shangzhe Wu collaborates with scholars based in United Kingdom, United States and Hong Kong. Shangzhe Wu's co-authors include Christian Rupprecht, Andrea Vedaldi, Ernest M. Stokely, Tomáš Jakab, Daniele De Martini, Paul Newman, Jiajun Wu, Noah Snavely, Ameesh Makadia and Angjoo Kanazawa and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and The International Journal of Robotics Research.

In The Last Decade

Shangzhe Wu

17 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shangzhe Wu United Kingdom	8	326	174	103	65	42	18	411
Noha Radwan United States	3	323 1.0×	124 0.7×	194 1.9×	63 1.0×	34 0.8×	10	382
Keunhong Park United States	6	410 1.3×	217 1.2×	253 2.5×	44 0.7×	33 0.8×	7	495
Ignas Budvytis United Kingdom	13	382 1.2×	104 0.6×	60 0.6×	55 0.8×	31 0.7×	26	444
Edgar Tretschk Germany	4	386 1.2×	242 1.4×	244 2.4×	44 0.7×	35 0.8×	4	477
Kangle Deng United States	4	425 1.3×	152 0.9×	243 2.4×	90 1.4×	45 1.1×	5	509
Jordi Salvador Spain	9	406 1.2×	115 0.7×	105 1.0×	37 0.6×	36 0.9×	29	516
Matheus Gadelha United States	7	314 1.0×	233 1.3×	160 1.6×	27 0.4×	62 1.5×	21	434
Sergio Orts Escolano United Kingdom	4	411 1.3×	166 1.0×	142 1.4×	113 1.7×	52 1.2×	4	461
Leonidas Guibas United States	7	253 0.8×	289 1.7×	155 1.5×	55 0.8×	42 1.0×	14	393

Countries citing papers authored by Shangzhe Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shangzhe Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangzhe Wu

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

All Works

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18 of 18 papers shown

Kaye, Brian H., et al.. (2025). DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. 6425–6435.

Zhang, Yunzhi, Tomáš Jakab, Christian Rupprecht, et al.. (2024). Learning the 3D Fauna of the Web. 9752–9762. 4 indexed citations

Yin, Minghao, Shangzhe Wu, & Kai Han. (2024). IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM. 10563–10573. 2 indexed citations

Clarke, Samuel, et al.. (2024). Hearing Anything Anywhere. 11790–11799. 2 indexed citations

Jakab, Tomáš, et al.. (2024). Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 852–861. 7 indexed citations

Wu, Shangzhe, et al.. (2023). MagicPony: Learning Articulated 3D Animals in the Wild. 8792–8802. 26 indexed citations

Sun, Keqiang, et al.. (2023). CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 913–926. 5 indexed citations

Wu, Shangzhe, Tomáš Jakab, Christian Rupprecht, & Andrea Vedaldi. (2023). DOVE: Learning Deformable 3D Objects by Watching Videos. International Journal of Computer Vision. 131(10). 2623–2634. 12 indexed citations

Zhang, Yunzhi, Shangzhe Wu, Noah Snavely, & Jiajun Wu. (2023). Seeing a Rose in Five Thousand Ways. 962–971. 4 indexed citations

10.

Wu, Shangzhe, et al.. (2022). De-rendering 3D Objects in the Wild. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18469–18478. 20 indexed citations

11.

Martini, Daniele De, et al.. (2021). Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. The International Journal of Robotics Research. 40(12-14). 1488–1509. 22 indexed citations

12.

Wu, Shangzhe, Ameesh Makadia, Jiajun Wu, et al.. (2021). De-rendering the World’s Revolutionary Artefacts. 6334–6343. 19 indexed citations

13.

Wu, Shangzhe, Christian Rupprecht, & Andrea Vedaldi. (2021). Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). Oxford University Research Archive (ORA) (University of Oxford). 4854–4858. 3 indexed citations

14.

Wu, Shangzhe, Christian Rupprecht, & Andrea Vedaldi. (2021). Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–1. 39 indexed citations

15.

Wu, Shangzhe, Christian Rupprecht, & Andrea Vedaldi. (2020). Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. 1–10. 144 indexed citations

16.

Lu, Yongyi, Shangzhe Wu, Yu‐Wing Tai, & Chi–Keung Tang. (2017). Sketch-to-Image Generation Using Deep Contextual Completion.. arXiv (Cornell University). 4 indexed citations

17.

Wu, Shangzhe, Jiarui Xu, Yu‐Wing Tai, & Chi–Keung Tang. (2017). End-to-End Deep HDR Imaging with Large Foreground Motions.. arXiv (Cornell University). 5 indexed citations

18.

Stokely, Ernest M. & Shangzhe Wu. (1992). Surface parametrization and curvature measurement of arbitrary 3-D objects: five practical methods. IEEE Transactions on Pattern Analysis and Machine Intelligence. 14(8). 833–840. 93 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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