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Yingda Guan

2 accepted papers

2022

Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization

ICLR 2022poster

Localizing keypoints of an object is a basic visual problem. However, supervised learning of a keypoint localization network often requires a large amount of data, which is expensive and time-consuming to obtain. To remedy this, there is an ever-growing interest in semi-supervised learning (SSL), wh…

Cited by 20SourcePDFScholar
2021

ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

CVPR 2021poster

Human pose estimation has achieved significant progress in recent years. However, most of the recent methods focus on improving accuracy using complicated models and ignoring real-time efficiency. To achieve a better trade-off between accuracy and efficiency, we propose a novel neural architecture s…

Cited by 74PDFcodeScholar