Zhangjian Ji

According to our database, Zhangjian Ji authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection.

Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang

Inf. Sci., February, 2024

2022

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

Zhangjian Ji, Zilong Wang, Ming Zhang, Yapeng Chen, Yuhua Qian

CoRR, 2022

2019

Part-based visual tracking via structural support correlation filter.

Zhangjian Ji, Kai Feng, Yuhua Qian

J. Vis. Commun. Image Represent., 2019

Subnetwork reliability analysis in k-ary n-cubes.

Kai Feng, Zhangjian Ji, Wei Wei

Discret. Appl. Math., 2019

2018

Correlation filter tracker based on sparse regularization.

Zhangjian Ji, Weiqiang Wang

J. Vis. Commun. Image Represent., 2018

2016

High-order directional features and sparse representation based classification for in-air handwritten Chinese character recognition.

Xiwen Qu, Weiqiang Wang, Ke Lu, Zhangjian Ji

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2015

Object tracking based on local dynamic sparse model.

Zhangjian Ji, Weiqiang Wang

J. Vis. Commun. Image Represent., 2015

Robustly tracking objects via multi-task kernel dynamic sparse model.

Zhangjian Ji, Weiqiang Wang, Ke Lu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Detect foreground objects via adaptive fusing model in a hybrid feature space.

Zhangjian Ji, Weiqiang Wang

Pattern Recognit., 2014

Robust object tracking via incremental subspace dynamic sparse model.

Zhangjian Ji, Weiqiang Wang, Ning Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Robust object tracking via multi-task dynamic sparse model.

Zhangjian Ji, Weiqiang Wang

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Foreground Detection Utilizing Structured Sparse Model via l1, 2 Mixed Norms.

Zhangjian Ji, Weiqiang Wang, Ke Lv

Proceedings of the IEEE International Conference on Systems, 2013

Extract foreground objects based on sparse model of spatiotemporal spectrum.

Zhangjian Ji, Weiqiang Wang, Ke Lu

Proceedings of the IEEE International Conference on Image Processing, 2013