activity
20202025
most citedDeep Residual Correction Network for Partial Domain Adaptation

164 citations · 236 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Online Test-time Adaptation for 3D Human Pose Estimation: A Practical Perspective with Estimated 2D Poses

Qiuxia Lin, Kerui Gu, Linlin Yang +1

Online test-time adaptation for 3D human pose estimation is used for video streams that differ from training data. Ground truth 2D poses are used for adaptation, but only estimated…

cs.CV2025

Semantics-aware Test-time Adaptation for 3D Human Pose Estimation

Qiuxia Lin, Rongyu Chen, Kerui Gu +1

This work highlights a semantics misalignment in 3D human pose estimation. For the task of test-time adaptation, the misalignment manifests as overly smoothed and unguided predicti…

cs.CV202169 cited

Generalized Domain Conditioned Adaptation Network

Shuang Li, Binhui Xie, Qiuxia Lin +3

Domain Adaptation (DA) attempts to transfer knowledge learned in the labeled source domain to the unlabeled but related target domain without requiring large amounts of target supe…

cs.CV20203 cited

Domain Conditioned Adaptation Network

Shuang Li, Chi Harold Liu, Qiuxia Lin +4

Tremendous research efforts have been made to thrive deep domain adaptation (DA) by seeking domain-invariant features. Most existing deep DA models only focus on aligning feature r…

cs.CV2020164 cited

Deep Residual Correction Network for Partial Domain Adaptation

Shuang Li, Chi Harold Liu, Qiuxia Lin +4

Deep domain adaptation methods have achieved appealing performance by learning transferable representations from a well-labeled source domain to a different but related unlabeled t…