End-to-End Recovery of Human Shape and Pose

1.0k indexed citations

Abstract

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About

This paper, published in 2018, received 1.0k indexed citations. Written by Angjoo Kanazawa, Michael J. Black, David W. Jacobs and Jitendra Malik 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 (943 citations), Computational Mechanics (423 citations) and Control and Systems Engineering (186 citations). Published in .

Countries where authors are citing End-to-End Recovery of Human Shape and Pose

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This map shows the geographic impact of End-to-End Recovery of Human Shape and Pose. 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 End-to-End Recovery of Human Shape and Pose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites End-to-End Recovery of Human Shape and Pose more than expected).

Fields of papers citing End-to-End Recovery of Human Shape and Pose

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of End-to-End Recovery of Human Shape and Pose. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the End-to-End Recovery of Human Shape and Pose.

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.

This paper is also available at doi.org/10.1109/cvpr.2018.00744.

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