Michael J. Black

53.1k total citations · 19 hit papers
261 papers, 24.2k citations indexed

About

Michael J. Black is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Michael J. Black has authored 261 papers receiving a total of 24.2k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Vision and Pattern Recognition, 80 papers in Computational Mechanics and 44 papers in Control and Systems Engineering. Recurrent topics in Michael J. Black's work include Human Pose and Action Recognition (105 papers), 3D Shape Modeling and Analysis (75 papers) and Advanced Vision and Imaging (64 papers). Michael J. Black is often cited by papers focused on Human Pose and Action Recognition (105 papers), 3D Shape Modeling and Analysis (75 papers) and Advanced Vision and Imaging (64 papers). Michael J. Black collaborates with scholars based in Germany, United States and Switzerland. Michael J. Black's co-authors include P. Anandan, Gerard Pons‐Moll, Leonid Sigal, Javier Romero, Matthew Loper, Naureen Mahmood, Deqing Sun, Stefan Roth, Anurag Ranjan and Javier Romero and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael J. Black

245 papers receiving 23.1k citations

Hit Papers

SMPL 1996 2026 2006 2016 2015 1996 2018 2010 1998 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Black Germany 71 17.9k 6.6k 3.6k 2.6k 2.5k 261 24.2k
Edward H. Adelson United States 67 15.3k 0.9× 1.3k 0.2× 1.5k 0.4× 9.0k 3.4× 2.9k 1.1× 198 26.3k
Takeo Kanade United States 102 37.6k 2.1× 2.8k 0.4× 3.6k 1.0× 2.1k 0.8× 3.1k 1.2× 607 48.3k
Wojciech Matusik United States 67 7.8k 0.4× 3.5k 0.5× 1.2k 0.3× 1.5k 0.6× 2.8k 1.1× 305 15.5k
William T. Freeman United States 79 25.9k 1.4× 2.6k 0.4× 760 0.2× 1.6k 0.6× 1.9k 0.7× 221 34.1k
Demetri Terzopoulos United States 61 19.3k 1.1× 6.7k 1.0× 3.7k 1.0× 514 0.2× 2.6k 1.0× 249 29.1k
Frédo Durand United States 76 18.8k 1.1× 3.4k 0.5× 407 0.1× 1.3k 0.5× 2.5k 1.0× 279 25.4k
Pascal Fua Switzerland 73 22.7k 1.3× 1.7k 0.3× 2.1k 0.6× 415 0.2× 1.9k 0.7× 398 29.8k
Andrew Blake United Kingdom 46 14.4k 0.8× 1.3k 0.2× 887 0.2× 545 0.2× 1.5k 0.6× 105 18.0k
Jessica K. Hodgins United States 64 7.8k 0.4× 1.9k 0.3× 6.4k 1.8× 914 0.3× 2.1k 0.8× 258 13.1k
Zhengyou Zhang United States 54 12.2k 0.7× 1.2k 0.2× 1.3k 0.4× 1.2k 0.5× 2.6k 1.0× 232 17.9k

Countries citing papers authored by Michael J. Black

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Black

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Black. A scholar is included among the top collaborators of Michael J. Black 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 J. Black. Michael J. Black 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.
Li, Ci, Senya Polikovsky, Martin Holmberg, et al.. (2024). The Poses for Equine Research Dataset (PFERD). Scientific Data. 11(1). 497–497. 1 indexed citations
2.
Huang, Yinghao, Omid Taheri, Michael J. Black, & Dimitrios Tzionas. (2024). InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction from Multi-view RGB-D Images. International Journal of Computer Vision. 132(7). 2551–2566. 4 indexed citations
3.
Sun, Jiankai, Hongsong Wang, Jianing Qiu, et al.. (2024). Localization and recognition of human action in 3D using transformers. SHILAP Revista de lepidopterología. 3(1). 125–125.
4.
Chen, Xu, Yufeng Zheng, Michael J. Black, Otmar Hilliges, & Andreas Geiger. (2021). SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11574–11584. 131 indexed citations
5.
Zhao, Mintao, et al.. (2021). Separated and overlapping neural coding of face and body identity. Human Brain Mapping. 42(13). 4242–4260. 11 indexed citations
6.
Zhang, Siwei, et al.. (2020). Generating Person-Scene Interactions in 3D Scenes.. arXiv (Cornell University). 2 indexed citations
7.
Ghosh, Partha, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, & Bernhard Schölkopf. (2020). From Variational to Deterministic Autoencoders. International Conference on Learning Representations. 23 indexed citations
8.
Ma, Qianli, Siyu Tang, Sergi Pujades, et al.. (2019). Dressing 3D Humans using a Conditional Mesh-VAE-GAN.. arXiv (Cornell University). 6 indexed citations
9.
Mohler, Betty J., et al.. (2016). Appealing Female Avatars from 3D Body Scans: Perceptual Effects of Stylization. 333–343. 12 indexed citations
10.
Zuffi, Silvia, et al.. (2014). Preserving Modes and Messages via Diverse Particle Selection. MPG.PuRe (Max Planck Society). 1152–1160. 12 indexed citations
11.
Black, Michael J., et al.. (2013). Prototype Test of an All-Electric Intelligent Completion System for Extreme Reservoir Contact (ERC) Wells. SPE Annual Technical Conference and Exhibition. 9 indexed citations
12.
Hauberg, Søren, Oren Freifeld, & Michael J. Black. (2012). A Geometric take on Metric Learning. MPG.PuRe (Max Planck Society). 25. 2024–2032. 18 indexed citations
13.
Sun, Deqing, Erik B. Sudderth, & Michael J. Black. (2010). Layered image motion with explicit occlusions, temporal consistency, and depth ordering. Neural Information Processing Systems. 23. 2226–2234. 68 indexed citations
14.
Wu, Wei, Yun Gao, Elie Bienenstock, John P. Donoghue, & Michael J. Black. (2005). Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter. Neural Computation. 18(1). 80–118. 313 indexed citations
15.
Wood, Frank, Stefan Roth, & Michael J. Black. (2005). Modeling Neural Population Spiking Activity with Gibbs Distributions. Neural Information Processing Systems. 1537–1544. 4 indexed citations
16.
Scharr, Hanno, Michael J. Black, & Horst Haußecker. (2003). Image Statistics and Anisotropic Diffusion. JuSER (Forschungszentrum Jülich). 840–847. 33 indexed citations
17.
Sigal, Leonid, et al.. (2003). Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation. Neural Information Processing Systems. 16. 1539–1546. 63 indexed citations
18.
Ormoneit, Dirk, Hedvig Sidenbladh, Michael J. Black, & Trevor Hastie. (2000). Learning and Tracking Cyclic Human Motion. Neural Information Processing Systems. 894–900. 57 indexed citations
19.
Black, Michael J. & Anand Rangarajan. (1994). The outlier process: unifying line processes and robust statistics.. Computer Vision and Pattern Recognition. 15–22. 1 indexed citations
20.
Black, Michael J. & P. Anandan. (1990). Constraints for the early detection of discontinuity from motion. National Conference on Artificial Intelligence. 1060–1066. 19 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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