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Guoqiang Jin

2 accepted papers

2023

Uni6Dv2: Noise Elimination for 6D Pose Estimation

AISTATS 2023poster

Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images. We discover that the principal reasons of Uni6D performance limitations are Instance-Outside and Instance-Inside noise. Uni6D’s simple pipeline design inherently in…

Cited by 14SourcePDFScholar
2022

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

CVPR 2022poster

The crux of semi-supervised semantic segmentation is to assign pseudo-labels to the pixels of unlabeled images. A common practice is to select the highly confident predictions as the pseudo ground-truth, but it leads to a problem that most pixels may be left unused due to their unreliability. We arg…

Cited by 495PDFcodeScholar