Short Biography

ZHU Shiping received the B.Sc. and M.Sc. degrees in Measuring and Testing Technologies and Instruments from Xi’an University of Technology, Xi’an, China, in 1991 and 1994, respectively, and the Ph.D. degree in Precision Instruments and Machinery from Harbin Institute of Technology, Harbin, China, in 1997.

His current research interests include video coding, image processing, computer vision, neural networks, and deep learning.

Research Area

1. Learning-based neural video compression.

2. Visual saliency detection.

3. Image and video salient object segmentation.

Courses

1. Undergraduate course: Digital Image Processing.

2. Graduate course: Image Analysis and Recognition.

Papers & Books

1. Qinyao Chang, Shiping Zhu, “Human vision attention mechanism‑inspired temporal‑spatial feature pyramid for video saliency detection,” Cognitive Computation, vol. 15, no. 3, pp. 856-868, 2023.

2. Qinghai Li, Shiping Zhu, Jinxiang Wang, Tianrun Chen, “Learning-based video compression framework with implicit spatial transform for applications of the internet of things,” IEEE Transactions on Industrial Informatics, vol. 19, no. 5, pp. 6576-6587, 2023.

3. Shiping Zhu, Qinyao Chang, Qinghai Li, “Video saliency aware intelligent HD video compression with the improvement of visual quality and the reduction of coding complexity,” Neural Computing and Applications, vol. 34, no. 10, pp. 7955-7974, 2022.

4. Lanyun Zhu, Deyi Ji, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan, “Learning statistical texture for semantic segmentation,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), June 19-25, 2021, pp. 12532-12541.

5. Shiping Zhu, Chang Liu, Ziyao Xu, “High-definition video compression system based on perception guidance of salient information of a convolutional neural network and HEVC compression domain,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 1946-1959, 2020.

6. Shiping Zhu, Ziyao Xu, “Spatiotemporal visual saliency guided perceptual high efficiency video coding with neural network,” Neurocomputing, vol. 275, pp. 511-522, 2018.

7. Shiping Zhu, Lina Yan, “Local stereo matching algorithm with efficient matching cost and adaptive guided image filter,” Visual Computer, vol. 33, no. 9, pp. 1087-1102, 2017.

8. Shiping Zhu, Ruidong Gao, “A novel generalized gradient vector flow snake model using minimal surface and component-normalized method for medical image segmentation,” Biomedical Signal Processing and Control, vol. 26, pp. 1-10, 2016.

9. Shiping Zhu, Yang Gao, “Noncontact 3-D coordinates measurement of cross-cutting feature points on the surface of a large-scale workpiece based on the machine vision method,” IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 7, pp. 1874-1887, 2010.

10. Shiping Zhu, Jiancheng Fang, Rui Zhou, Jianhui Zhao, Wenbo Yu, “A new noncontact flatness measuring system of large 2-D flat workpiece,” IEEE Transactions on Instrumentation and Measurement, vol. 57, no. 12, pp. 2891-2904, 2008.