activity
20182020
most citedDeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints

4 citations · 5 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV20201 cited

Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks

Yimin Lin, Jianfeng Huang, Shiguo Lian

We propose a novel visual localization network when outside environment has changed such as different illumination, weather and season. The visual localization network is composed…

cs.CV2019

How Old Are You? Face Age Translation with Identity Preservation Using GANs

Zipeng Wang, Zhaoxiang Liu, Jianfeng Huang +2

We present a novel framework to generate images of different age while preserving identity information, which is known as face aging. Different from most recent popular face aging…

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.RO20194 cited

DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints

Liming Han, Yimin Lin, Guoguang Du +1

This paper presents an self-supervised deep learning network for monocular visual inertial odometry (named DeepVIO). DeepVIO provides absolute trajectory estimation by directly mer…

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.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…