Deep Neural Network (DNN) based point cloud semantic segmentation has
pr...
Humans are remarkably good at understanding and reasoning about complex
...
We present Bit Diffusion: a simple and generic approach for generating
d...
LiDAR sensor is essential to the perception system in autonomous vehicle...
In this paper, we study the representation of neural networks from the v...
In this work, we focus on the high-dimensional trace regression model wi...
We introduce Attention Free Transformer (AFT), an efficient variant of
T...
Point clouds can be represented in many forms (views), typically, point-...
Autoencoder and its variants have been widely applicated in anomaly
dete...
Learning controllable and generalizable representation of multivariate d...
We show that the sum of the implicit generator log-density log p_g of a
...
AI Safety is a major concern in many deep learning applications such as
...
Modern generative models are usually designed to match target distributi...
Recurrent neural networks (RNNs) have been successfully applied to vario...
Despite the successes in capturing continuous distributions, the applica...