27 citations · 64 across the 8 of their papers we have counts for
5 papers · 1 filter
Efficient Multi-Domain Dictionary Learning with GANs
Cho Ying Wu, Ulrich Neumann
In this paper, we propose the multi-domain dictionary learning (MDDL) to make dictionary learning-based classification more robust to data representing in different domains. We use…
Stochastic Dynamics for Video Infilling
Qiangeng Xu, Hanwang Zhang, Weiyue Wang +2
In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video. Our task differs from video interpolation w…
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang, Weiyue Wang, Ulrich Neumann
Point clouds are an efficient data format for 3D data. However, existing 3D segmentation methods for point clouds either do not model local dependencies \cite{pointnet} or require…
Depth-aware CNN for RGB-D Segmentation
Weiyue Wang, Ulrich Neumann
Convolutional neural networks (CNN) are limited by the lack of capability to handle geometric information due to the fixed grid kernel structure. The availability of depth data ena…
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang, Kevin Zhou, Suya You +1
Many state-of-the-art computer vision algorithms use large scale convolutional neural networks (CNNs) as basic building blocks. These CNNs are known for their huge number of parame…