activity
20192023
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 285 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 7 cited

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…

cs.CV2019★ 5 cited

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…

math.CO2019

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…

cs.RO2019

Deep Learning based Wearable Assistive System for Visually Impaired People

Yimin Lin, Kai Wang, Wanxin Yi +1

In this paper, we propose a deep learning based assistive system to improve the environment perception experience of visually impaired (VI). The system is composed of a wearable te…

cs.CL2019★ 1 cited

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

Liang Zhao, Zhiyuan Ma, Yangming Zhou +3

Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patien…

cs.CL2019★ 2 cited

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

Kai Wang, Xiaojun Quan, Rui Wang

The success of neural summarization models stems from the meticulous encodings of source articles. To overcome the impediments of limited and sometimes noisy training data, one pro…

cs.CV2019★ 1 cited

Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System

Minjie Hua, Fuyuan Shi, Yibing Nan +3

This paper presents a novel system that enables intelligent robots to exhibit realistic body gestures while communicating with humans. The proposed system consists of a listening m…