Xiuli Shao

According to our database1, Xiuli Shao authored at least 29 papers between 2004 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation.
Pattern Recognit., February, 2024

2023
Weakly supervised fine-grained semantic segmentation via spatial correlation-guided learning.
Comput. Vis. Image Underst., November, 2023

M2RNet: Multi-modal and multi-scale refined network for RGB-D salient object detection.
Pattern Recognit., 2023

2022
Wavelet-Based Texture Reformation Network for Image Super-Resolution.
IEEE Trans. Image Process., 2022

LC3Net: Ladder context correlation complementary network for salient object detection.
Knowl. Based Syst., 2022

GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection.
CoRR, 2022

Depth Removal Distillation for RGB-D Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Collaborative learning in bounding box regression for object detection.
Pattern Recognit. Lett., 2021

Subspace Clustering with Block Diagonal Sparse Representation.
Neural Process. Lett., 2021

The design of medical IoT operation information platform using reactive algorithm and e-commerce O2O mode.
Netw. Model. Anal. Health Informatics Bioinform., 2021

Lightweight boundary refinement module based on point supervision for semantic segmentation.
Image Vis. Comput., 2021

IBNet: Interactive Branch Network for salient object detection.
Neurocomputing, 2021

M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection.
CoRR, 2021

A Plug and Play Fast Intersection Over Union Loss for Boundary Box Regression.
Proceedings of the IEEE International Conference on Acoustics, 2021

Self-supervised Multi-view Clustering for Unsupervised Image Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Learning sparse features with lightweight ScatterNet for small sample training.
Knowl. Based Syst., 2020

Scale-Recursive Network with point supervision for crowd scene analysis.
Neurocomputing, 2020

2019
Automatic Annotation and Segmentation of Object Instances With Deep Active Curve Network.
IEEE Access, 2019

A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Multi-scale Discriminative Location-Aware Network for Few-Shot Semantic Segmentation.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Multi-scale Feature Decode and Fuse Model with CRF Layer for Boundary Detection.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A New Combined CNN-RNN Model for Sector Stock Price Analysis.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Forecasting of stock price trend based on CART and similar stock.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Short-term forecast of stock price of multi-branch LSTM based on K-means.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Automatic K selection method for the K - Means algorithm.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2014
Detecting P2P botnets by discovering flow dependency in C&C traffic.
Peer-to-Peer Netw. Appl., 2014

2009
Ontology Driven Semantic Search over Structure P2P Network.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

2004
Optimization of tandem queue systems with finite buffers.
Comput. Oper. Res., 2004


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