Brian Curless

24.7k total citations · 13 hit papers
114 papers, 16.4k citations indexed

About

Brian Curless is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Brian Curless has authored 114 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 48 papers in Computer Graphics and Computer-Aided Design and 28 papers in Computational Mechanics. Recurrent topics in Brian Curless's work include Advanced Vision and Imaging (60 papers), Computer Graphics and Visualization Techniques (48 papers) and 3D Shape Modeling and Analysis (28 papers). Brian Curless is often cited by papers focused on Advanced Vision and Imaging (60 papers), Computer Graphics and Visualization Techniques (48 papers) and 3D Shape Modeling and Analysis (28 papers). Brian Curless collaborates with scholars based in United States, United Kingdom and Canada. Brian Curless's co-authors include Steven M. Seitz, Marc Levoy, Richard Szeliski, David Salesin, Zoran Popović, Brett L. Allen, Yasutaka Furukawa, Noah Snavely, Aaron Hertzmann and James Diebel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal of Clinical Nutrition and Communications of the ACM.

In The Last Decade

Brian Curless

107 papers receiving 15.5k citations

Hit Papers

A volumetric method for b... 1996 2026 2006 2016 1996 2006 2001 2011 2003 500 1000 1.5k 2.0k
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. A volumetric method for building complex models from range images
    1996 2.1k citations Brian Curless et al. profile →
  2. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
    2006 1.6k citations Steven M. Seitz, Brian Curless et al. profile →
  3. Image analogies
    2001 1.0k citations Aaron Hertzmann, Brian Curless et al. profile →
  4. Building Rome in a day
    2011 671 citations Yasutaka Furukawa, Noah Snavely et al. profile →
  5. The space of human body shapes
    2003 642 citations Brett L. Allen, Brian Curless et al. profile →
  6. Interactive digital photomontage
    2004 629 citations Aseem Agarwala, Maneesh Agrawala et al. profile →
  7. Multicore bundle adjustment
    2011 587 citations Brian Curless, Steven M. Seitz et al. profile →
  8. The space of human body shapes
    2003 533 citations Brett L. Allen, Brian Curless et al. profile →
  9. Towards Internet-scale multi-view stereo
    2010 523 citations Yasutaka Furukawa, Brian Curless et al. profile →
  10. A Bayesian approach to digital matting
    2005 512 citations Brian Curless, David Salesin et al. profile →
  11. Multi-View Stereo for Community Photo Collections
    2007 483 citations Noah Snavely, Brian Curless et al. profile →
  12. Spacetime faces
    2004 385 citations Noah Snavely, Brian Curless et al. profile →
  13. HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video
    2022 240 citations Brian Curless, Pratul P. Srinivasan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian Curless 12.6k 4.4k 4.0k 3.8k 3.0k 114 16.4k
Szymon Rusinkiewicz 9.4k 0.7× 5.0k 1.1× 5.3k 1.3× 3.1k 0.8× 2.9k 1.0× 159 13.7k
Thomas Funkhouser 13.3k 1.1× 5.3k 1.2× 8.7k 2.2× 3.1k 0.8× 3.4k 1.1× 147 19.5k
Steven M. Seitz 15.1k 1.2× 3.7k 0.8× 2.4k 0.6× 6.1k 1.6× 4.5k 1.5× 131 19.2k
Niloy J. Mitra 9.6k 0.8× 3.2k 0.7× 4.6k 1.2× 2.1k 0.5× 2.9k 0.9× 222 14.2k
Vladlen Koltun 11.3k 0.9× 2.5k 0.6× 3.6k 0.9× 4.5k 1.2× 3.2k 1.1× 163 18.6k
Marc Levoy 16.0k 1.3× 9.4k 2.1× 6.5k 1.6× 4.3k 1.1× 2.9k 0.9× 109 22.9k
Daniel Cohen‐Or 16.4k 1.3× 10.2k 2.3× 12.6k 3.2× 2.0k 0.5× 4.0k 1.3× 421 26.0k
Hujun Bao 7.6k 0.6× 3.7k 0.8× 4.0k 1.0× 2.6k 0.7× 861 0.3× 381 11.6k
Martial Hebert 16.5k 1.3× 1.1k 0.2× 2.3k 0.6× 7.1k 1.9× 2.9k 0.9× 380 22.4k
Hugues Hoppe 10.1k 0.8× 11.9k 2.7× 10.5k 2.6× 1.5k 0.4× 2.1k 0.7× 125 19.0k

Countries citing papers authored by Brian Curless

Since Specialization
Citations

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

Fields of papers citing papers by Brian Curless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Curless

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Curless. A scholar is included among the top collaborators of Brian Curless 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 Brian Curless. Brian Curless 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.
Liu, Jason, M. C. Wong, Nisa N. Kelly, et al.. (2025). 3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology. npj Digital Medicine. 8(1). 79–79.
2.
Curless, Brian & Michael Gowanlock. (2025). Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores. ArXiv.org. 288–298.
3.
Curless, Brian, et al.. (2024). Inverse Painting: Reconstructing The Painting Process. 1–11. 2 indexed citations
4.
Chen, Bo‐Wei, Brian Curless, Ira Kemelmacher-Shlizerman, & Steven M. Seitz. (2024). Total Selfie: Generating Full-Body Selfies. 6701–6711.
5.
Shih, Meng-Li, Wei-Chiu Ma, Aleksander Holynski, et al.. (2024). ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models. 20385–20395.
6.
Wang, Xiaojuan, Janne Kontkanen, Brian Curless, et al.. (2024). Generative Powers of Ten. 7173–7182.
7.
Wong, M. C., Samantha Kennedy, Nisa N. Kelly, et al.. (2023). Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations. Clinical Nutrition. 42(9). 1619–1630. 3 indexed citations
8.
Wong, M. C., Bennett K. Ng, Ian Pagano, et al.. (2021). A pose‐independent method for accurate and precise body composition from 3D optical scans. Obesity. 29(11). 1835–1847. 19 indexed citations
9.
Ng, Bennett K., Markus J. Sommer, M. C. Wong, et al.. (2019). Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies. American Journal of Clinical Nutrition. 110(6). 1316–1326. 67 indexed citations
10.
Gupta, Ankit, Maneesh Agrawala, Brian Curless, & Michael F. Cohen. (2014). MotionMontage. 2017–2026. 7 indexed citations
11.
Klute, Glenn K., et al.. (2011). Vacuum-Assisted Socket Suspension Compared With Pin Suspension for Lower Extremity Amputees: Effect on Fit, Activity, and Limb Volume. Archives of Physical Medicine and Rehabilitation. 92(10). 1570–1575. 101 indexed citations
12.
Krainin, Michael, Brian Curless, & Dieter Fox. (2011). Autonomous generation of complete 3D object models using next best view manipulation planning. 5031–5037. 111 indexed citations
13.
Furukawa, Yasutaka, Brian Curless, Steven M. Seitz, & Richard Szeliski. (2009). Manhattan-world stereo. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1422–1429. 228 indexed citations
14.
Zheng, Ke, Alex Colburn, Aseem Agarwala, et al.. (2009). Parallax photography: creating 3D cinematic effects from stills. Graphics Interface. 111–118. 22 indexed citations
15.
Furukawa, Yasutaka, Brian Curless, Steven M. Seitz, & Richard Szeliski. (2009). Reconstructing building interiors from images. 80–87. 235 indexed citations
16.
Goldman, Dan B, Brian Curless, Aaron Hertzmann, & Steven M. Seitz. (2009). Shape and Spatially-Varying BRDFs from Photometric Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(6). 1060–1071. 171 indexed citations
17.
Goldman, Dan B, et al.. (2008). Video object annotation, navigation, and composition. 3–12. 76 indexed citations
18.
Bhat, Pravin, C. Lawrence Zitnick, Noah Snavely, et al.. (2007). Using photographs to enhance videos of a static scene. 327–338. 76 indexed citations
19.
Mahajan, Dhruv, Ravi Ramamoorthi, & Brian Curless. (2007). A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(2). 197–213. 21 indexed citations
20.
Allen, Brett L., Brian Curless, Zoran Popović, & Aaron Hertzmann. (2006). Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis. 147–156. 52 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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