According to our database1, Guo-Sen Xie authored at least 18 papers between 2014 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection.
J. Visual Communication and Image Representation, 2018
Approximately optimizing NDCG using pair-wise loss.
Inf. Sci., 2018
Image Thresholding Segmentation on Quantum State Space.
Video super-resolution based on spatial-temporal recurrent residual networks.
Computer Vision and Image Understanding, 2018
Accelerating Infinite Ensemble of Clustering by Pivot Features.
Cognitive Computation, 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 Processing, 2017
End-to-End Online Writer Identification With Recurrent Neural Network.
IEEE Trans. Human-Machine Systems, 2017
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation.
IEEE Trans. Circuits Syst. Video Techn., 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 Recognition, 2017
SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition.
International Journal of Computer Vision, 2017
Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering.
IEEE Access, 2017
Age progression: Current technologies and applications.
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