75 citations · 79 across the 3 of their papers we have counts for
5 papers
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro +1
Convolutional Neural Networks (CNNs) are known to be significantly over-parametrized, and difficult to interpret, train and adapt. In this paper, we introduce a structural regulari…
Range Adaptation for 3D Object Detection in LiDAR
Ze Wang, Sihao Ding, Ying Li +5
LiDAR-based 3D object detection plays a crucial role in modern autonomous driving systems. LiDAR data often exhibit severe changes in properties across different observation ranges…
Stochastic Conditional Generative Networks with Basis Decomposition
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro +1
While generative adversarial networks (GANs) have revolutionized machine learning, a number of open questions remain to fully understand them and exploit their power. One of these…
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro +1
In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Netw…
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
Jingyuan Wang, Junjie Wu, Ze Wang +2
Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becom…