1 citations · 2 across the 7 of their papers we have counts for
7 papers
Learn to Quantify Social Interaction with Constraints for Pedestrian Walking
Xiaodan Shi
Long-term human path forecasting in crowds is critical for autonomous moving platforms (like autonomous driving cars and social robots) to avoid collision and make high-quality pla…
CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation
Shibo Zhu, Xiaodan Shi, Dayin Chen +4
Urban trajectory generation is a fundamental task for transportation simulation, urban planning, and mobility analytics. However, systematic comparison across trajectory generation…
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
Peiran Li, Jiawei Wang, Haoran Zhang +4
The importance of mobile phone GPS trajectory data is widely recognized across many fields, yet the use of real data is often hindered by privacy concerns, limited accessibility, a…
Hybrid Feature Embedding For Automatic Building Outline Extraction
Weihang Ran, Wei Yuan, Xiaodan Shi +2
Building outline extracted from high-resolution aerial images can be used in various application fields such as change detection and disaster assessment. However, traditional CNN m…
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets
Zhiling Guo, Xiaodan Shi, Haoran Zhang +4
The development of remote sensing and deep learning techniques has enabled building semantic segmentation with high accuracy and efficiency. Despite their success in different task…
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling
Zhiling Guo, Yinqiang Zheng, Haoran Zhang +4
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. In thi…
Semantic Segmentation for Urban Planning Maps based on U-Net
Zhiling Guo, Hiroaki Shengoku, Guangming Wu +6
The automatic digitizing of paper maps is a significant and challenging task for both academia and industry. As an important procedure of map digitizing, the semantic segmentation…