Guo-Sen Xie

According to our database1, Guo-Sen Xie authored at least 16 papers between 2014 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
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

Video super-resolution based on spatial-temporal recurrent residual networks.
Computer Vision and Image Understanding, 2018

2017
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

2016
Age progression: Current technologies and applications.
Neurocomputing, 2016

Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation.
CoRR, 2016

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

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

2014
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


  Loading...