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Yin Li

Researcher at Chinese Academy of Sciences

Publications -  472
Citations -  26685

Yin Li is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Fermentation. The author has an hindex of 69, co-authored 392 publications receiving 21289 citations. Previous affiliations of Yin Li include The Joint Commission & University of Wisconsin-Madison.

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Journal ArticleDOI

Lazy snapping

TL;DR: Usability studies indicate that Lazy Snapping provides a better user experience and produces better segmentation results than the state-of-the-art interactive image cutout tool, Magnetic Lasso in Adobe Photoshop.
Proceedings ArticleDOI

The Secrets of Salient Object Segmentation

TL;DR: An extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets identifies serious design flaws of existing salient object benchmarks and proposes a new high quality dataset that offers both fixation and salient objects segmentation ground-truth.
Posted Content

The Secrets of Salient Object Segmentation

TL;DR: In this paper, the authors provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets, and propose a new high quality dataset that offers both fixations and salient objects.