activity
20172022
most citedDeep Learning Based Robot for Automatically Picking up Garbage on the Grass

164 citations · 318 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

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…

cs.CV20196 cited

Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines

Kai Wang, Fuyuan Shi, Wenqi Wang +2

This paper presents an improved scheme for the generation and adaption of synthetic images for the training of deep Convolutional Neural Networks(CNNs) to perform the object detect…

cs.CV2019

A Survey on Face Data Augmentation

Xiang Wang, Kai Wang, Shiguo Lian

The quality and size of training set have great impact on the results of deep learning-based face related tasks. However, collecting and labeling adequate samples with high quality…

cs.CV2018

A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation

Kai Wang, Yimin Lin, Luowei Wang +5

This paper presents a novel framework for simultaneously implementing localization and segmentation, which are two of the most important vision-based tasks for robotics. While the…