29 citations · 48 across the 8 of their papers we have counts for
8 papers
Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
Jianfeng Huang, Chenyang Li, Yimin Lin +1
It is hard to collect enough flaw images for training deep learning network in industrial production. Therefore, existing industrial anomaly detection methods prefer to use CNN-bas…
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…
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…
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…
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…
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…
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…
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
Yimin Lin, Zhaoxiang Liu, Jianfeng Huang +5
Although a wide variety of deep neural networks for robust Visual Odometry (VO) can be found in the literature, they are still unable to solve the drift problem in long-term robot…