23 citations · 52 across the 6 of their papers we have counts for
6 papers
Surface Reconstruction from Point Clouds: A Survey and a Benchmark
Zhangjin Huang, Yuxin Wen, Zihao Wang +2
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete point cloud observation is a long-standing problem. The problem is technically ill-posed,…
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Mingyue Yang, Yuxin Wen, Weikai Chen +2
Many learning-based approaches have difficulty scaling to unseen data, as the generality of its learned prior is limited to the scale and variations of the training samples. This h…
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds
Wenbin Zhao, Jiabao Lei, Yuxin Wen +2
Shape modeling and reconstruction from raw point clouds of objects stand as a fundamental challenge in vision and graphics research. Classical methods consider analytic shape prior…
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
Yuxin Wen, Shuai Li, Kui Jia
The problem of adversarial examples has shown that modern Neural Network (NN) models could be rather fragile. Among the more established techniques to solve the problem, one is to…
Geometry-Aware Generation of Adversarial Point Clouds
Yuxin Wen, Jiehong Lin, Ke Chen +2
Machine learning models have been shown to be vulnerable to adversarial examples. While most of the existing methods for adversarial attack and defense work on the 2D image domain,…
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
In this paper, we introduce the algorithms of Orthogonal Deep Neural Networks (OrthDNNs) to connect with recent interest of spectrally regularized deep learning methods. OrthDNNs a…