FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2947156782> ?p ?o ?g. }

• W2947156782 abstract "In this paper, we aim to recover the 3D human pose from 2D body joints of a single image. The major challenge in this task is the depth ambiguity since different 3D poses may produce similar 2D poses. Although many recent advances in this problem are found in both unsupervised and supervised learning approaches, the performances of most of these approaches are greatly affected by insufficient diversities and richness of training data. To alleviate this issue, we propose an unsupervised learning approach, which is capable of estimating various complex poses well under limited available training data. Specifically, we propose a Shape Decomposition Model (SDM) in which a 3D pose is considered as the superposition of two parts which are global structure together with some deformations. Based on SDM, we estimate these two parts explicitly by solving two sets of different distributed combination coefficients of geometric priors. In addition, to obtain geometric priors, a joint dictionary learning algorithm is proposed to extract both coarse and fine pose clues simultaneously from limited training data. Quantitative evaluations on several widely used datasets demonstrate that our approach yields better performances over other competitive approaches. Especially, on some categories with more complex deformations, significant improvements are achieved by our approach. Furthermore, qualitative experiments conducted on in-the-wild images also show the effectiveness of the proposed approach." @default.
• W2947156782 created "2019-06-07" @default.
• W2947156782 creator A5004845860 @default.
• W2947156782 creator A5015244667 @default.
• W2947156782 creator A5030144058 @default.
• W2947156782 creator A5041490965 @default.
• W2947156782 date "2019-05-31" @default.
• W2947156782 modified "2023-09-23" @default.
• W2947156782 title "Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation." @default.
• W2947156782 cites W1912860515 @default.
• W2947156782 cites W1943191679 @default.
• W2947156782 cites W1956126447 @default.
• W2947156782 cites W1975815261 @default.
• W2947156782 cites W2030161963 @default.
• W2947156782 cites W2038952578 @default.
• W2947156782 cites W2039262381 @default.
• W2947156782 cites W2054820429 @default.
• W2947156782 cites W2080873731 @default.
• W2947156782 cites W2088196373 @default.
• W2947156782 cites W2095359050 @default.
• W2947156782 cites W2101032778 @default.
• W2947156782 cites W2105041273 @default.
• W2947156782 cites W2105464873 @default.
• W2947156782 cites W2108825216 @default.
• W2947156782 cites W2111446867 @default.
• W2947156782 cites W2111986959 @default.
• W2947156782 cites W2113325037 @default.
• W2947156782 cites W2129638195 @default.
• W2947156782 cites W2134704262 @default.
• W2947156782 cites W2152386463 @default.
• W2947156782 cites W2155196764 @default.
• W2947156782 cites W2158268505 @default.
• W2947156782 cites W2164278908 @default.
• W2947156782 cites W2167623372 @default.
• W2947156782 cites W2169738563 @default.
• W2947156782 cites W2256477790 @default.
• W2947156782 cites W2293220651 @default.
• W2947156782 cites W2307770531 @default.
• W2947156782 cites W2483862638 @default.
• W2947156782 cites W2515603221 @default.
• W2947156782 cites W2519469348 @default.
• W2947156782 cites W2520324844 @default.
• W2947156782 cites W2522078899 @default.
• W2947156782 cites W2522527348 @default.
• W2947156782 cites W2524613005 @default.
• W2947156782 cites W2554247908 @default.
• W2947156782 cites W2557698284 @default.
• W2947156782 cites W2573854917 @default.
• W2947156782 cites W2576289912 @default.
• W2947156782 cites W2583372902 @default.
• W2947156782 cites W2583585015 @default.
• W2947156782 cites W2605947573 @default.
• W2947156782 cites W2612706635 @default.
• W2947156782 cites W2756050327 @default.
• W2947156782 cites W2758586119 @default.
• W2947156782 cites W2758778552 @default.
• W2947156782 cites W2781181706 @default.
• W2947156782 cites W2785641712 @default.
• W2947156782 cites W2798646183 @default.
• W2947156782 cites W2799870331 @default.
• W2947156782 cites W2953238046 @default.
• W2947156782 cites W2962729993 @default.
• W2947156782 cites W2963013806 @default.
• W2947156782 cites W2963102968 @default.
• W2947156782 cites W2963383668 @default.
• W2947156782 cites W2963592930 @default.
• W2947156782 cites W2963688992 @default.
• W2947156782 cites W2964179555 @default.
• W2947156782 cites W2793147156 @default.
• W2947156782 cites W3149661088 @default.
• W2947156782 hasPublicationYear "2019" @default.
• W2947156782 type Work @default.
• W2947156782 sameAs 2947156782 @default.
• W2947156782 citedByCount "0" @default.
• W2947156782 crossrefType "posted-content" @default.
• W2947156782 hasAuthorship W2947156782A5004845860 @default.
• W2947156782 hasAuthorship W2947156782A5015244667 @default.
• W2947156782 hasAuthorship W2947156782A5030144058 @default.
• W2947156782 hasAuthorship W2947156782A5041490965 @default.
• W2947156782 hasConcept C107673813 @default.
• W2947156782 hasConcept C119857082 @default.
• W2947156782 hasConcept C153180895 @default.
• W2947156782 hasConcept C154945302 @default.
• W2947156782 hasConcept C17744445 @default.
• W2947156782 hasConcept C177769412 @default.
• W2947156782 hasConcept C199539241 @default.
• W2947156782 hasConcept C2776359362 @default.
• W2947156782 hasConcept C41008148 @default.
• W2947156782 hasConcept C52102323 @default.
• W2947156782 hasConcept C65909025 @default.
• W2947156782 hasConcept C94625758 @default.
• W2947156782 hasConceptScore W2947156782C107673813 @default.
• W2947156782 hasConceptScore W2947156782C119857082 @default.
• W2947156782 hasConceptScore W2947156782C153180895 @default.
• W2947156782 hasConceptScore W2947156782C154945302 @default.
• W2947156782 hasConceptScore W2947156782C17744445 @default.
• W2947156782 hasConceptScore W2947156782C177769412 @default.
• W2947156782 hasConceptScore W2947156782C199539241 @default.
• W2947156782 hasConceptScore W2947156782C2776359362 @default.
• W2947156782 hasConceptScore W2947156782C41008148 @default.

• next