420 citations · 1.6k across the 44 of their papers we have counts for
5 papers · 1 filter
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi, Liheng Zhang, Hao Hu +3
In this paper, we present a novel localized Generative Adversarial Net (GAN) to learn on the manifold of real data. Compared with the classic GAN that {\em globally} parameterizes…
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang, Guo-Jun Qi, Bin Xiao +1
In this paper, we present a simple and modularized neural network architecture, named interleaved group convolutional neural networks (IGCNets). The main point lies in a novel buil…
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition
Xiangbo Shu
Recently, Long Short-Term Memory (LSTM) has become a popular choice to model individual dynamics for single-person action recognition due to its ability of modeling the temporal in…
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes
Guo-Jun Qi, Wei Liu, Charu Aggarwal +1
In this paper, we present a label transfer model from texts to images for image classification tasks. The problem of image classification is often much more challenging than text c…
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
In this paper, we present the Lipschitz regularization theory and algorithms for a novel Loss-Sensitive Generative Adversarial Network (LS-GAN). Specifically, it trains a loss func…