Add Battisti et al. 2024 (Person Identification from Pose Estimates) — SignLang 2024#120
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AmitMY merged 2 commits intoApr 28, 2026
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Apr 28, 2026
| then generated a photo-realistic sign language video of a novel appearance from the pose sequence. | ||
| The authors proposed a novel style loss that ensures style consistency in the anonymized sign language videos. | ||
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| @battisti2024PersonIdentificationPose questioned the assumption that pose estimates yield anonymized data, conducting a perception study with Swiss German Sign Language (DSGS) users and showing that both human raters and an automatic SVM classifier could identify familiar signers and language levels from pose sequences alone (person identification F1=0.31; language level F1=0.64). |
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no need to have the numbers at the end
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Done — dropped the F1 numbers in a241847. |
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python src/find_bare_citations.py src/references.bib src/index.mdpasses (no bare citations)src/references.bib