79 citations · 135 across the 4 of their papers we have counts for
10 papers
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
R. Kenny Jones, Theresa Barton, Xianghao Xu +5
Manually authoring 3D shapes is difficult and time consuming; generative models of 3D shapes offer compelling alternatives. Procedural representations are one such possibility: the…
Multi-Domain Dialogue Acts and Response Co-Generation
Kai Wang, Junfeng Tian, Rui Wang +2
Generating fluent and informative responses is of critical importance for task-oriented dialogue systems. Existing pipeline approaches generally predict multiple dialogue acts firs…
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang, Weizhou Shen, Yunyi Yang +2
Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network model…
Video synthesis of human upper body with realistic face
Zhaoxiang Liu, Huan Hu, Zipeng Wang +3
This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the b…
A Realistic Face-to-Face Conversation System based on Deep Neural Networks
Zezhou Chen, Zhaoxiang Liu, Huan Hu +4
To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-to-sequence models respectively…
An Efficient Algorithm to Test Potentially Bipartiteness of Graphical Degree Sequences
Kai Wang
As a partial answer to a question of Rao, a deterministic and customizable efficient algorithm is presented to test whether an arbitrary graphical degree sequence has a bipartite r…