张德军 (Dejun Zhang)
College of Computer Science
China University of Geosciences, Wuhan, China
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Contact: zhangdejun[at]cug.edu.cn
About Me
Dejun Zhang is currently an associate professor of the College of Computer Science, China University of Geosciences, China. He received the Ph.D. degree from the Department of Computer School, Wuhan University, China, in 2015. He was a visiting scholar with Singapore University of Technology and Design, Singapore, from 2023 to 2024. Since 2017, He has been serving as a senior member of the China Society for Industrial and Applied Mathematics (CSIAM) and a committee member of the Geometric Design & Computing of CSIAM. Since 2020, He has been serving as a senior member of the China Computer Federation (CCF). Since 2021, He has been serving as a committee member of the Technical Committee on CAD and Graphics of CCF. His research areas include computer graphics, computer vision, image and video processing. He has conducted a considerable amount of research in digital geometric processing, computational photography, and he has published more than 50 papers in journals and conferences.
Selected Publications  [Google Scholar Page]
Journal Paper
Coarse-to-fine Pipeline for 3D Wireframe Reconstruction from Point Cloud.
Xuefeng Tan, Dejun Zhang*, Long Tian, Yiqi Wu, Yilin Chen.
Computers & Graphics, 2022, 106: 288-298.
A Context Feature Enhancement Network for Building Extraction from High-Resolution Remote Sensing Imagery.
Jinzhi Chen, Dejun Zhang*, Yiqi Wu, Yilin Chen, Xiaohu Yan.
Remote Sensing, 2022, 14(9), 2276.
Deep Learning Methods for 3D Human Pose Estimation under Different Supervision Paradigms: A Survey.
Dejun Zhang, Yiqi Wu, Mingyue Guo, Yilin Chen.
Electronics, 2021, 10(18): 2267.
Weight Asynchronous Update: Improves the Diversity of Filters in Deep Convolutional Network.
Dejun Zhang, Linchao He, Mengting Luo, Zhanya Xu, Fazhi He.
Computational Visual Media, 2020, 6(4): 455-466.
Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering.
Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, Junsong Yuan.
IEEE Transactions on Image Processing, 2020, 29, 8429-8442.
Learning Motion Representation for Real-Time Spatio-Temporal Action Localization.
Dejun Zhang*, Linchao He, Zhigang Tu*, Fei Han, Shifu Zhang, Boxiong Yang.
Pattern Recognition, 2020, 103: 107312.
Pointwise Geometric and Semantic Learning Network on 3D Point Clouds.
Dejun Zhang*, Fazhi He, Zhigang Tu, Lu Zou, Yilin Chen.
Integrated Computer-Aided Engineering, 2020, 27(1): 57-75.
Part-based Visual Tracking with Spatially Regularized Correlation Filters.
Dejun Zhang*, Zhao Zhang, Lu Zou, Zhuyang Xie, Fazhi He, Yiqi Wu, Zhigang Tu.
The Visual Computer, 2020, 36: 509-527.
Symmetry Encoder-decoder Network with Attention Mechanism for Fast VOS.
Mingyue Guo, Dejun Zhang*, Jun Sun, Yiqi Wu.
Symmetry, 2019, 11(8): 1006.
Reconstructed Similarity for Faster GANs-Based Word Translation to Mitigate Hubness.
Dejun Zhang*, Mengting Luo, Fazhi He.
Neurocomputing, 2019, 362: 83-93.
Action-Stage Emphasized Spatio-Temporal VLAD for Video Action Recognition.
Zhigang Tu, Hongyan Li*, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan.
IEEE Transactions on Image Processing, 2019, 28(6): 2799-2812.
Attention Pooling-based Bidirectional GRU Model for Sentimental Classification.
Dejun Zhang*, Mingbo Hong, Lu Zou, Fei Han, Fazhi He, Zhigang Tu, Yafeng Ren.
International Journal of Computational Intelligence Systems, 2019, 12(2): 723-732.
Service-oriented Feature-based Data Exchange for Cloud-based Design and Manufacturing.
Yiqi Wu, Fazhi He*, Dejun Zhang, Xiaoxia Li.
IEEE Transactions on Services Computing, 2018, 11(2): 341-353.
Efficient and Accurate Hausdorff Distance Computation based on Diffusion Search.
Dejun Zhang*, Lu Zou, Yilin Chen, Fazhi He.
IEEE Access, 2018, 6:1350-1361.
An Efficient Approach to Directly Compute The Exact Hausdorff Distance for 3D Point Sets.
Dejun Zhang, Fazhi He*, Soonhung Han, Lu Zou, Yiqi Wu, Yilin Chen.
Integrated Computer-Aided Engineering, 2017, 24(3): 261-277.
Quantitative Optimization of Interoperability During Feature-based Data Exchange.
Dejun Zhang, Fazhi He*, Soonhung Han, Xiaoxia Li.
Integrated Computer-Aided Engineering, 2016, 23(1): 31-50.
Conference Paper
Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning.
Yujing Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan
IEEE International Conference on Computer Vision (ICCV) 2019: 6961-6970. (CCF A)
Human Action Recognition Based on Dual Correlation Network.
Fei Han, Dejun Zhang*, Yiqi Wu, Zirui Qiu, Longyong Wu, Weilun Huang
ACPR 2019, CCIS 1180
Visual-Based Character Embedding via Principal Component Analysis.
Linchao He, Dejun Zhang*, Long Tian, Fei Han, Mengting Luo, Yinlin Chen, Yiqi Wu
ICPCSEE 2018, Springer, Singapore, 2018: 212-224.
Context-Aware Network Embedding via Variation Autoencoders for Link Prediction.
Long Tian, Dejun Zhang*, Fei Han, Mingbo Hong, Xiang Huang, Yilin Chen, Yiqi Wu.
ICPCSEE 2018, Springer, Singapore, 2018: 322-331.
Professional Activities
•GDC 2022, Program Committee (PC).
•GDC 2021, Program Committee (PC).
•CHINAAI 2020, Publication Co-Chairs.
•ACPR 2019 Workshop, Technical Program Committee (TPC).
•ICPCSEE 2019, Program Committee (PC).
•GDC 2018, Program Committee (PC).
•Conference reviewer: GDC 2017, GDC 2018, ICPCSEE 2018, GDC 2019, ICPCSEE 2019, ACPR 2019, CHINAAI 2020, ISCAS 2020, ICCDE 2020, GDC 2021, etc.
•Journal reviewer: IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), IEEE Transactions on Multimedia (TMM), Pattern Recognition, The Visual Computer (TVC), Soft Computing, Measurement, Sensors, International Journal of Applied Earth Observation and Geoinformation, Multimedia Tools and Applications (MTAP), etc.