70 citations · 83 across the 6 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.GR2018★ 2 cited
Parallel and Scalable Heat Methods for Geodesic Distance Computation
Jiong Tao, Juyong Zhang, Bailin Deng +3
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes. Our key observation is that the recovery of geodesic distance with…
cs.LG2018★ 4 cited
Fast K-Means Clustering with Anderson Acceleration
Juyong Zhang, Yuxin Yao, Yue Peng +2
We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering. Unlike previous acceleration approaches that reduce computational cost per iterations or improve i…
cs.GR2018★ 70 cited
Anderson Acceleration for Geometry Optimization and Physics Simulation
Yue Peng, Bailin Deng, Juyong Zhang +3
Many computer graphics problems require computing geometric shapes subject to certain constraints. This often results in non-linear and non-convex optimization problems with global…