5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2019
Irregular Convolutional Auto-Encoder on Point Clouds
Zhang Yuhui, Greg Gutmann, Konagaya Akihiko
We proposed a novel graph convolutional neural network that could construct a coarse, sparse latent point cloud from a dense, raw point cloud. With a novel non-isotropic convolutio…
cs.HC2019★ 5 cited
Predictive Simulation: Using Regression and Artificial Neural Networks to Negate Latency in Networked Interactive Virtual Reality
Gregory Gutmann, Akihiko Konagaya
Current virtual reality systems are typically limited by performance/cost, usability (size), or a combination of both. By using a networked client/server environment, we have solve…
cs.CY2018
Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program
Xi Chen, Gregory S. Gutmann, Joe Bungo
Over the past two decades, High-Performance Computing (HPC) communities have developed many models for delivering education aiming to help students understand and harness the power…