activity
20172019
most citedDeep Learning Based Robot for Automatically Picking up Garbage on the Grass

164 citations · 308 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV2019

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

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…

cs.CV2019

Feature Aggregation Network for Video Face Recognition

Zhaoxiang Liu, Huan Hu, Jinqiang Bai +2

This paper aims to learn a compact representation of a video for video face recognition task. We make the following contributions: first, we propose a meta attention-based aggregat…

cs.CV2019

Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People

Jinqiang Bai, Zhaoxiang Liu, Yimin Lin +3

This paper presents a wearable assistive device with the shape of a pair of eyeglasses that allows visually impaired people to navigate safely and quickly in unfamiliar environment…

cs.CV2019164 cited

Deep Learning Based Robot for Automatically Picking up Garbage on the Grass

Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu +2

This paper presents a novel garbage pickup robot which operates on the grass. The robot is able to detect the garbage accurately and autonomously by using a deep neural network for…

cs.CV2019129 cited

Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People

Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu +2

To help the blind people walk to the destination efficiently and safely in indoor environment, a novel wearable navigation device is presented in this paper. The locating, way-find…