Zhangjian Ji

Orcid: 0000-0002-9407-2878

According to our database1, Zhangjian Ji authored at least 14 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection.
Inf. Sci., February, 2024

Subnetwork reliability of the arrangement graphs under probabilistic fault condition.
Theor. Comput. Sci., 2024

2022
2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints.
CoRR, 2022

2019
Part-based visual tracking via structural support correlation filter.
J. Vis. Commun. Image Represent., 2019

Subnetwork reliability analysis in k-ary n-cubes.
Discret. Appl. Math., 2019

2018
Correlation filter tracker based on sparse regularization.
J. Vis. Commun. Image Represent., 2018

2016
High-order directional features and sparse representation based classification for in-air handwritten Chinese character recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2015
Object tracking based on local dynamic sparse model.
J. Vis. Commun. Image Represent., 2015

Robustly tracking objects via multi-task kernel dynamic sparse model.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Detect foreground objects via adaptive fusing model in a hybrid feature space.
Pattern Recognit., 2014

Robust object tracking via incremental subspace dynamic sparse model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Robust object tracking via multi-task dynamic sparse model.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Foreground Detection Utilizing Structured Sparse Model via l1, 2 Mixed Norms.
Proceedings of the IEEE International Conference on Systems, 2013

Extract foreground objects based on sparse model of spatiotemporal spectrum.
Proceedings of the IEEE International Conference on Image Processing, 2013


  Loading...