Guo-Sen Xie

According to our database1, Guo-Sen Xie authored at least 36 papers between 2014 and 2021.

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



In proceedings 
PhD thesis 




Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation.
CoRR, 2021

Exploiting Web Images for Multi-Output Classification: From Category to Subcategories.
IEEE Trans. Neural Networks Learn. Syst., 2020

SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.
Neural Networks, 2020

Cross Domain Mean Approximation for Unsupervised Domain Adaptation.
IEEE Access, 2020

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification.
Proceedings of the Computer Vision - ECCV 2020, 2020

Region Graph Embedding Network for Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Scene classification-oriented saliency detection via the modularized prescription.
Vis. Comput., 2019

Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding.
IEEE Trans. Image Process., 2019

Fusion linear representation-based classification.
Soft Comput., 2019

Discriminant Zero-Shot Learning with Center Loss.
Cogn. Comput., 2019

Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation.
IEEE Access, 2019

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Attentive Region Embedding Network for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SADIH: Semantic-Aware DIscrete Hashing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection.
J. Vis. Commun. Image Represent., 2018

Approximately optimizing NDCG using pair-wise loss.
Inf. Sci., 2018

Image Thresholding Segmentation on Quantum State Space.
Entropy, 2018

Video super-resolution based on spatial-temporal recurrent residual networks.
Comput. Vis. Image Underst., 2018

Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cogn. Comput., 2018

From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning.
IEEE Access, 2018

Discriminative Elastic-Net Regularized Linear Regression.
IEEE Trans. Image Process., 2017

End-to-End Online Writer Identification With Recurrent Neural Network.
IEEE Trans. Hum. Mach. Syst., 2017

Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2017

Extended Locality-Constrained Linear Self-Coding for Saliency Detection.
IEEE Signal Process. Lett., 2017

LG-CNN: From local parts to global discrimination for fine-grained recognition.
Pattern Recognit., 2017

SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition.
Int. J. Comput. Vis., 2017

Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering.
IEEE Access, 2017

Age progression: Current technologies and applications.
Neurocomputing, 2016

Computational Face Reader.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Task-Driven Feature Pooling for Image Classification.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Efficient Feature Coding Based on Auto-encoder Network for Image Classification.
Proceedings of the Computer Vision - ACCV 2014, 2014