2 citations · 2 across the 2 of their papers we have counts for
6 papers
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting
Wenqing Ouyang, Yue Peng, Yuxin Yao +2
The alternating direction multiplier method (ADMM) is widely used in computer graphics for solving optimization problems that can be nonsmooth and nonconvex. It converges quickly t…
Quasi-Newton Solver for Robust Non-Rigid Registration
Yuxin Yao, Bailin Deng, Weiwei Xu +1
Imperfect data (noise, outliers and partial overlap) and high degrees of freedom make non-rigid registration a classical challenging problem in computer vision. Existing methods ty…
Lightweight Photometric Stereo for Facial Details Recovery
Xueying Wang, Yudong Guo, Bailin Deng +1
Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate ge…
Accelerating ADMM for Efficient Simulation and Optimization
Juyong Zhang, Yue Peng, Wenqing Ouyang +1
The alternating direction method of multipliers (ADMM) is a popular approach for solving optimization problems that are potentially non-smooth and with hard constraints. It has bee…
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…
Iso-level tool path planning for free-form surfaces
Qiang Zou, Juyong Zhang, Bailin Deng +1
The aim of tool path planning is to maximize the efficiency against some given precision criteria. In practice, scallop height should be kept constant to avoid unnecessary cutting,…