Search Results for author: Xiaodan Shi

Found 7 papers, 1 papers with code

A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy

no code implementations16 Apr 2024 Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan

We believe this study has the potential to advance the practical application of phone-based ambient temperature measurement, facilitating energy-saving efforts in buildings.

Federated Learning

Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data

no code implementations31 Dec 2023 Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen

To address these limitations, we present a novel Multi-spatial Multi-temporal air quality forecasting method based on Graph Convolutional Networks and Gated Recurrent Units (M2G2), bridging the gap in air quality forecasting across spatial and temporal scales.

Hybrid Feature Embedding For Automatic Building Outline Extraction

no code implementations20 Jul 2023 Weihang Ran, Wei Yuan, Xiaodan Shi, Zipei Fan, Ryosuke Shibasaki

Building outline extracted from high-resolution aerial images can be used in various application fields such as change detection and disaster assessment.

Change Detection

Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling

no code implementations24 Jun 2023 Zhiling Guo, Yinqiang Zheng, Haoran Zhang, Xiaodan Shi, Zekun Cai, Ryosuke Shibasaki, Jinyue Yan

In recent years, single-frame image super-resolution (SR) has become more realistic by considering the zooming effect and using real-world short- and long-focus image pairs.

Image Super-Resolution

Semantic Segmentation for Urban Planning Maps based on U-Net

no code implementations28 Sep 2018 Zhiling Guo, Hiroaki Shengoku, Guangming Wu, Qi Chen, Wei Yuan, Xiaodan Shi, Xiaowei Shao, Yongwei Xu, Ryosuke Shibasaki

The results indicate the proposed method can serve as a viable tool for urban planning map semantic segmentation task with high accuracy and efficiency.

Segmentation Semantic Segmentation

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