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Enhancing Robust Category‐Agnostic Pose Estimation through Multi‐Modal Feature Alignment.

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Bibliographic Details
Title: Enhancing Robust Category‐Agnostic Pose Estimation through Multi‐Modal Feature Alignment.
Authors: Li, Boxuan1 (AUTHOR), Liu, Juan1 (AUTHOR) cecyliu@xmu.edu.cn
Source: Computer Graphics Forum. Mar2026, p1. 9p. 8 Illustrations.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 192583498
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Enhancing Robust Category‐Agnostic Pose Estimation through Multi‐Modal Feature Alignment.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Boxuan%22">Li, Boxuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Juan%22">Liu, Juan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cecyliu@xmu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Mar2026, p1. 9p. 8 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192583498
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/cgf.70368
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 1
    Titles:
      – TitleFull: Enhancing Robust Category‐Agnostic Pose Estimation through Multi‐Modal Feature Alignment.
        Type: main
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          Name:
            NameFull: Li, Boxuan
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            NameFull: Liu, Juan
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          Dates:
            – D: 30
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 01677055
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            – TitleFull: Computer Graphics Forum
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