Shuang Bai
Orcid: 0000-0003-4586-8754
According to our database1,
Shuang Bai
authored at least 35 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2008
2010
2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
2
4
3
2
1
2
4
4
1
1
1
2
1
1
1
1
1
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Boosting Few-Shot Semantic Segmentation With Prior-Driven Edge Feature Enhancement Network.
IEEE Trans. Artif. Intell., January, 2025
Understanding document images by introducing explicit semantic information and short-range information interaction.
Image Vis. Comput., 2025
2024
J. Vis. Commun. Image Represent., 2024
Found missing semantics: Supplemental prototype network for few-shot semantic segmentation.
Comput. Vis. Image Underst., 2024
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials.
CoRR, 2024
Biomed. Signal Process. Control., 2024
2023
IEEE Trans. Cogn. Dev. Syst., December, 2023
Signal Process. Image Commun., August, 2023
Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines.
J. Intell. Fuzzy Syst., 2023
The Scenario-Based Design of Practical Teaching in Training-Organization Course of Intelligence and Electronic Warfare Department.
Proceedings of the 12th IEEE International Conference on Educational and Information Technology, 2023
2022
Image Vis. Comput., 2022
Eng. Appl. Artif. Intell., 2022
2021
Information aggregation and fusion in deep neural networks for object interaction exploration for semantic segmentation.
Knowl. Based Syst., 2021
2019
Pattern Recognit. Lett., 2019
Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction.
Expert Syst. Appl., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Mach. Vis. Appl., 2018
Categorizing scenes by exploring scene part information without constructing explicit models.
Neurocomputing, 2018
Softly combining an ensemble of classifiers learned from a single convolutional neural network for scene categorization.
Appl. Soft Comput., 2018
2017
An Unobtrusive Fall Detection and Alerting System Based on Kalman Filter and Bayes Network Classifier.
Sensors, 2017
Multim. Tools Appl., 2017
Int. J. Pattern Recognit. Artif. Intell., 2017
Growing random forest on deep convolutional neural networks for scene categorization.
Expert Syst. Appl., 2017
Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017
2015
J. Electronic Imaging, 2015
2014
IEICE Trans. Inf. Syst., 2014
Proceedings of the International Conference on Audio, 2014
2013
Informative patches sampling for image classification by utilizing bottom-up and top-down information.
Mach. Vis. Appl., 2013
2012
Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization.
IEICE Trans. Inf. Syst., 2012
Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification.
IEICE Trans. Inf. Syst., 2012
Scene classification based on category-specific representations created through prototype feature selection.
Proceedings of the Image and Vision Computing New Zealand, 2012
2009
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009
Multi-robot Based Chemical Plume Tracing with Virtual Odor-Source-Probability Sensor.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2008
Probability-PSO Algorithm for Multi-robot Based Odor Source Localization in Ventilated Indoor Environments.
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008