Xiaodan Shi

According to our database1, Xiaodan Shi authored at least 14 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


An Adaptive Adjustment Algorithm of the Parameters in Alarm Association Rule Mining.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Learn to Recover Visible Color for Video Surveillance in a Day.
Proceedings of the Computer Vision - ECCV 2020, 2020

Multimodal Interaction-Aware Trajectory Prediction in Crowded Space.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pedestrian Trajectory Prediction in Extremely Crowded Scenarios.
Sensors, 2019

A Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-Label Land-cover Segmentation.
Remote. Sens., 2019

On the Effects of Computer-assisted Teaching on Learning Results Based on Blended Learning Method.
iJET, 2019

Robust Optimization for Emergency Scheduling of Oil Products After Disaster.
IEEE Access, 2019

Super-Resolution Integrated Building Semantic Segmentation for Multi-Source Remote Sensing Imagery.
IEEE Access, 2019

Automatic Vectorization Extraction of Flat-Roofed Houses Using High-Resolution Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Geosr: A Computer Vision Package for Deep Learning Based Single-Frame Remote Sensing Imagery Super-Resolution.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Fault Prediction Method Based on Load-capacity Model in the Communication Network.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks.
Remote. Sens., 2018

A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction.
Remote. Sens., 2018

Semantic Segmentation for Urban Planning Maps Based on U-Net.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018