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Xiao Juan Wang

2 accepted papers

2022

AdaptivePose: Human Parts as Adaptive Points

AAAI 2022technical

Multi-person pose estimation methods generally follow top-down and bottom-up paradigms, both of which can be considered as two-stage approaches thus leading to the high computation cost and low efficiency. Towards a compact and efficient pipeline for multi-person pose estimation task, in this paper,…

Cited by 26SourcePDFScholar
2022

Learning Quality-Aware Representation for Multi-Person Pose Regression

AAAI 2022technical

Off-the-shelf single-stage multi-person pose regression methods generally leverage the instance score (i.e., confidence of the instance localization) to indicate the pose quality for selecting the pose candidates. We consider that there are two gaps involved in existing paradigm: 1) The instance sco…

Cited by 17SourcePDFScholar