28 citations · 28 across the 3 of their papers we have counts for
4 papers
Point-based Instance Completion with Scene Constraints
Wesley Khademi, Li Fuxin
Recent point-based object completion methods have demonstrated the ability to accurately recover the missing geometry of partially observed objects. However, these approaches are n…
Diverse Shape Completion via Style Modulated Generative Adversarial Networks
Wesley Khademi, Li Fuxin
Shape completion aims to recover the full 3D geometry of an object from a partial observation. This problem is inherently multi-modal since there can be many ways to plausibly comp…
Neural Networks Enforcing Physical Symmetries in Nonlinear Dynamical Lattices: The Case Example of the Ablowitz-Ladik Model
Wei Zhu, Wesley Khademi, Efstathios G. Charalampidis +1
In this work we introduce symmetry-preserving, physics-informed neural networks (S-PINNs) motivated by symmetries that are ubiquitous to solutions of nonlinear dynamical lattices.…
Self-Supervised Poisson-Gaussian Denoising
Wesley Khademi, Sonia Rao, Clare Minnerath +2
We extend the blindspot model for self-supervised denoising to handle Poisson-Gaussian noise and introduce an improved training scheme that avoids hyperparameters and adapts the de…