Unite the People: Closing the Loop Between 3D and 2D Human Representations

293 indexed citations

Abstract

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This paper, published in 2017, received 293 indexed citations. Written by Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black and Peter Gehler covering the research area of Computational Mechanics and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (276 citations), Computational Mechanics (167 citations) and Control and Systems Engineering (45 citations). Published in .

Countries where authors are citing Unite the People: Closing the Loop Between 3D and 2D Human Representations

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This map shows the geographic impact of Unite the People: Closing the Loop Between 3D and 2D Human Representations. 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 Unite the People: Closing the Loop Between 3D and 2D Human Representations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Unite the People: Closing the Loop Between 3D and 2D Human Representations more than expected).

Fields of papers citing Unite the People: Closing the Loop Between 3D and 2D Human Representations

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Unite the People: Closing the Loop Between 3D and 2D Human Representations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Unite the People: Closing the Loop Between 3D and 2D Human Representations.

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This paper is also available at doi.org/10.1109/cvpr.2017.500.

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