Michael Tao

1.5k total citations · 1 hit paper
24 papers, 830 citations indexed

About

Michael Tao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology. According to data from OpenAlex, Michael Tao has authored 24 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Graphics and Computer-Aided Design and 6 papers in Media Technology. Recurrent topics in Michael Tao's work include Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Image Processing Techniques (6 papers). Michael Tao is often cited by papers focused on Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Image Processing Techniques (6 papers). Michael Tao collaborates with scholars based in United States, Canada and United Kingdom. Michael Tao's co-authors include Ravi Ramamoorthi, Jitendra Malik, Sunil Hadap, Sylvain Paris, Pratul P. Srinivasan, Szymon Rusinkiewicz, Pushmeet Kohli, Jiamin Bai, Hsueh‐Ti Derek Liu and Alec Jacobson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Michael Tao

23 papers receiving 809 citations

Hit Papers

Depth from Combining Defocus and Correspondence Using Lig... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Tao United States 11 695 260 110 67 43 24 830
Naejin Kong South Korea 6 574 0.8× 149 0.6× 111 1.0× 51 0.8× 13 0.3× 7 707
Henning Zimmer Switzerland 13 1.1k 1.5× 268 1.0× 140 1.3× 71 1.1× 27 0.6× 16 1.2k
Gaochang Wu China 11 803 1.2× 253 1.0× 60 0.5× 23 0.3× 55 1.3× 27 962
Joel Kronander Sweden 13 670 1.0× 116 0.4× 242 2.2× 120 1.8× 65 1.5× 28 788
Aladine Chetouani France 16 448 0.6× 138 0.5× 63 0.6× 135 2.0× 26 0.6× 89 741
Tianfan Xue Hong Kong 14 551 0.8× 151 0.6× 71 0.6× 59 0.9× 14 0.3× 36 640
A. Zomet Israel 11 905 1.3× 363 1.4× 114 1.0× 61 0.9× 43 1.0× 15 1.0k
Emilio Antúnez United States 5 717 1.0× 324 1.2× 101 0.9× 37 0.6× 63 1.5× 7 850
Shinsaku Hiura Japan 14 500 0.7× 226 0.9× 57 0.5× 30 0.4× 45 1.0× 66 670
Alex Rav-Acha Israel 16 1.5k 2.1× 297 1.1× 140 1.3× 59 0.9× 29 0.7× 24 1.5k

Countries citing papers authored by Michael Tao

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tao. A scholar is included among the top collaborators of Michael Tao 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 Michael Tao. Michael Tao 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.
Lumpe, Thomas S., Michael Tao, Kristina Shea, & David I. W. Levin. (2022). Computational design and fabrication of active 3D-printed multi-state structures for shape morphing. Smart Materials and Structures. 32(1). 15008–15008. 10 indexed citations
2.
Gore, Mitchell R., et al.. (2022). An Analysis of Biologic Therapies in Patients With Asthma and Chronic Rhinosinusitis. Cureus. 14(10). e30017–e30017. 5 indexed citations
3.
Tao, Michael, Christopher Batty, Mirela Ben‐Chen, Eugene Fiume, & David I. W. Levin. (2022). VEMPIC. ACM Transactions on Graphics. 41(4). 1–22. 7 indexed citations
4.
Liu, Hsueh‐Ti Derek, Michael Tao, Chunliang Li, Derek Nowrouzezahrai, & Alec Jacobson. (2018). Adversarial Geometry and Lighting using a Differentiable Renderer. arXiv (Cornell University). 4 indexed citations
5.
Liu, Hsueh‐Ti Derek, Michael Tao, Chunliang Li, Derek Nowrouzezahrai, & Alec Jacobson. (2018). Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer. arXiv (Cornell University). 7 indexed citations
6.
Tao, Michael, et al.. (2017). An Empirical Analysis of Deep Network Loss Surfaces. arXiv (Cornell University). 9 indexed citations
7.
Tao, Michael, Justin Solomon, & Adrian Butscher. (2016). Near-isometric level set tracking. 35(5). 65–77. 5 indexed citations
8.
Tao, Michael, Justin Solomon, & Adrian Butscher. (2016). Near‐Isometric Level Set Tracking. Computer Graphics Forum. 35(5). 65–77. 9 indexed citations
9.
Tao, Michael, Pratul P. Srinivasan, Sunil Hadap, et al.. (2016). Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(3). 546–560. 59 indexed citations
10.
Tsai, Sheng‐Feng, Michael Tao, Tzyy-Wen Chiou, et al.. (2016). Isochaihulactone-induced DDIT3 causes ER stress-PERK independent apoptosis in glioblastoma multiforme cells. Oncotarget. 8(3). 4051–4061. 25 indexed citations
11.
Tao, Michael. (2015). Unified Multi-Cue Depth Estimation from Light-Field Images: Correspondence, Defocus, Shading, and Specularity. UC Berkeley. 1 indexed citations
12.
Tao, Michael, Pratul P. Srinivasan, Jitendra Malik, Szymon Rusinkiewicz, & Ravi Ramamoorthi. (2015). Depth from shading, defocus, and correspondence using light-field angular coherence. 1940–1948. 74 indexed citations
13.
Tao, Michael, Jong-Chyi Su, Ting-Chun Wang, Jitendra Malik, & Ravi Ramamoorthi. (2015). Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(6). 1155–1169. 61 indexed citations
14.
Srinivasan, Pratul P., Michael Tao, Ren Ng, & Ravi Ramamoorthi. (2015). Oriented Light-Field Windows for Scene Flow. 3496–3504. 10 indexed citations
15.
Tao, Michael, Sunil Hadap, Jitendra Malik, & Ravi Ramamoorthi. (2013). Depth from Combining Defocus and Correspondence Using Light-Field Cameras. 673–680. 325 indexed citations breakdown →
16.
Tao, Michael, et al.. (2012). Fast adaptive edge-aware mask generation. Graphics Interface. 77–83.
17.
Tao, Michael, Jiamin Bai, Pushmeet Kohli, & Sylvain Paris. (2012). SimpleFlow: A Non‐iterative, Sublinear Optical Flow Algorithm. Computer Graphics Forum. 31(2pt1). 345–353. 94 indexed citations
18.
Tao, Michael, Micah K. Johnson, & Sylvain Paris. (2012). Error-Tolerant Image Compositing. International Journal of Computer Vision. 103(2). 178–189. 42 indexed citations
19.
Tao, Michael, et al.. (2009). Depth of field postprocessing for layered scenes using constant-time rectangle spreading. UC Berkeley. 39–46. 17 indexed citations
20.
Tao, Michael, et al.. (1993). Design and Implementation of a Multi-Threaded Xlib. 193–204. 4 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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