no code implementations • 20 Jul 2022 • Jianfeng Huang, Chenyang Li, Yimin Lin, Shiguo Lian
After this, we use the Siamese-based network to compute the similarity of the generation image patch and original image patch.
no code implementations • 24 Dec 2020 • Yimin Lin, Jianfeng Huang, Shiguo Lian
The visual localization network is composed of a feature extraction network and pose regression network.
no code implementations • 11 Sep 2019 • Zipeng Wang, Zhaoxiang Liu, Jianfeng Huang, Shiguo Lian, Yimin Lin
We present a novel framework to generate images of different age while preserving identity information, which is known as face aging.
no code implementations • 9 Aug 2019 • Yimin Lin, Kai Wang, Wanxin Yi, Shiguo Lian
In this paper, we propose a deep learning based assistive system to improve the environment perception experience of visually impaired (VI).
no code implementations • 27 Jun 2019 • Liming Han, Yimin Lin, Guoguang Du, Shiguo Lian
This paper presents an self-supervised deep learning network for monocular visual inertial odometry (named DeepVIO).
no code implementations • 30 Apr 2019 • Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu
Based on the detected ground, the optimal walkable direction is computed and the user is then informed via converted beep sound.
no code implementations • 25 Dec 2018 • Kai Wang, Yimin Lin, Luowei Wang, Liming Han, Minjie Hua, Xiang Wang, Shiguo Lian, Bill Huang
This paper presents a novel framework for simultaneously implementing localization and segmentation, which are two of the most important vision-based tasks for robotics.
no code implementations • 19 Dec 2018 • Yimin Lin, Zhaoxiang Liu, Jianfeng Huang, Chaopeng Wang, Guoguang Du, Jinqiang Bai, Shiguo Lian, Bill Huang
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 navigation.