Xiaohuan Lu

According to our database1, Xiaohuan Lu authored at least 16 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction.
Pattern Recognit., 2022

PltDB: a blood platelets-based gene expression database for disease investigation.
Bioinform., 2022

2020
Visual object tracking via collaborative correlation filters.
Signal Image Video Process., 2020

2019
Multiple object tracking by reliable tracklets.
Signal Image Video Process., 2019

Particle filter re-detection for visual tracking via correlation filters.
Multim. Tools Appl., 2019

Distracter-aware tracking via correlation filter.
Neurocomputing, 2019

Low-Rank Projection Learning via Graph Embedding.
Neurocomputing, 2019

2018
Joint of locality- and globality-preserving projections.
Signal Image Video Process., 2018

Discriminative collaborative representation-based tracking.
J. Electronic Imaging, 2018

Real-time Investigation of Transmission Latency of Standard 4K and Virtual-Reality Videos over a Commercial PON Testbed.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

2017
Deep convolutional neural networks for thermal infrared object tracking.
Knowl. Based Syst., 2017

Multiple feature fused for visual tracking via correlation filters.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Sparse selective kernelized correlation filter model for visual object tracking.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Distracter-aware correlation filter tracking.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016
A New Template Update Scheme for Visual Tracking.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

A Robust Appearance Model for Object Tracking.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016


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