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Xuesheng Qian

2 accepted papers

2021

Spatial Uncertainty-Aware Semi-Supervised Crowd Counting

ICCV 2021poster

Semi-supervised approaches for crowd counting attract attention, as the fully supervised paradigm is expensive and laborious due to its request for a large number of images of dense crowd scenarios and their annotations. This paper proposes a spatial uncertainty-aware semi-supervised approach via re…

Cited by 123PDFcodeScholar
2021

Video Annotation for Visual Tracking via Selection and Refinement

ICCV 2021poster

Deep learning based visual trackers entail offline pre-training on large volumes of video datasets with accurate bounding box annotations that are labor-expensive to achieve. We present a new framework to facilitate bounding box annotations for video sequences, which investigates a selection-and-ref…

Cited by 11PDFcodeScholar