372 citations · 379 across the 7 of their papers we have counts for
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cs.GR2017
Robust Structure-based Shape Correspondence
Yanir Kleiman, Maks Ovsjanikov
We present a robust method to find region-level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We…
cs.CG2017★ 372 cited
PCPNET: Learning Local Shape Properties from Raw Point Clouds
Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov +1
In this paper, we propose PCPNet, a deep-learning based approach for estimating local 3D shape properties in point clouds. In contrast to the majority of prior techniques that conc…
cs.CV2017
Bundle Optimization for Multi-aspect Embedding
Qiong Zeng, Baoquan Chen, Yanir Kleiman +2
Understanding semantic similarity among images is the core of a wide range of computer vision applications. An important step towards this goal is to collect and learn human percep…