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cs.CV2021★ 1 cited
A Decomposition Model for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di +2
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increase…
cs.LG2021★ 5 cited
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai, Yuwei Wu, Zhi Gao +1
Hyperbolic graph convolutional networks (GCNs) demonstrate powerful representation ability to model graphs with hierarchical structure. Existing hyperbolic GCNs resort to tangent s…