no code implementations • 9 Dec 2023 • Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang
In contrast to conventional methods that fuse features from multiple modalities, our proposed approach simplifies the neural architecture by retaining a single time series encoder, consequently leading to preserved scalability.
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 • 20 Apr 2022 • Junyi Cheng, Xianfeng Zhang, Peng Luo, Jie Huang, Jianfeng Huang
The Bayesian Criterion is specifically employed to decompose the spatiotemporal probability of the candidate place into spatial probability, duration probability, and visiting time probability.
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 • 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.