9 citations · 11 across the 3 of their papers we have counts for
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cs.CV2017
Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot
Shenglan Liu, Muxin Sun, Wei Wang +1
Robot vision is a fundamental device for human-robot interaction and robot complex tasks. In this paper, we use Kinect and propose a feature graph fusion (FGF) for robot recognitio…
cs.CV2016★ 9 cited
Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval
Shenglan Liu, Jun Wu, Lin Feng +4
Incompatibility of image descriptor and ranking is always neglected in image retrieval. In this paper, manifold learning and Gestalt psychology theory are involved to solve the inc…
cs.CV2016★ 2 cited
Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect
Shenglan Liu, Muxin Sun, Lin Feng +2
Single feature is inefficient to describe content of an image, which is a shortcoming in traditional image retrieval task. We know that one image can be described by different feat…