68 citations · 132 across the 8 of their papers we have counts for
5 papers · 1 filter
Adversarial Training Methods for Network Embedding
Quanyu Dai, Xiao Shen, Liang Zhang +2
Network Embedding is the task of learning continuous node representations for networks, which has been shown effective in a variety of tasks such as link prediction and node classi…
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification
Qiang Li, Bo Xie, Jane You +2
In this paper, we present correlated logistic (CorrLog) model for multilabel image classification. CorrLog extends conventional logistic regression model into multilabel cases, via…
Adapting Stochastic Block Models to Power-Law Degree Distributions
Maoying Qiao, Jun Yu, Wei Bian +2
Stochastic block models (SBMs) have been playing an important role in modeling clusters or community structures of network data. But, it is incapable of handling several complex fe…
StyleRemix: An Interpretable Representation for Neural Image Style Transfer
Hongmin Xu, Qiang Li, Wenbo Zhang +1
Multi-Style Transfer (MST) intents to capture the high-level visual vocabulary of different styles and expresses these vocabularies in a joint model to transfer each specific style…
End-to-end Hand Mesh Recovery from a Monocular RGB Image
Xiong Zhang, Qiang Li, Hong Mo +2
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image. In contrast to exi…