6 citations · 7 across the 3 of their papers we have counts for
4 papers
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator
Zifan Shi, Yinghao Xu, Yujun Shen +3
3D-aware image synthesis aims at learning a generative model that can render photo-realistic 2D images while capturing decent underlying 3D shapes. A popular solution is to adopt t…
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin, Chaorui Zhang, Bo Bai +2
Many network applications can be formulated as NP-hard combinatorial optimization problems of community detection (CD). Due to the NP-hardness, to balance the CD quality and effici…
3D-Aware Indoor Scene Synthesis with Depth Priors
Zifan Shi, Yujun Shen, Jiapeng Zhu +2
Despite the recent advancement of Generative Adversarial Networks (GANs) in learning 3D-aware image synthesis from 2D data, existing methods fail to model indoor scenes due to the…
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction
Chun-kit Yeung, Zizheng Lin, Kai Yang +1
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the ed…