Education and Working Experiences
Education:
l Ph.D, Fudan University, 2023
l M.S, Wuhan University, 2019
l B.S, Wuhan University, 2016
Working Experiences:
l 2013 – Present: Nanjing University of Information Science & Technology
Professional Activities
Reviewer of CVPR, ICCV, TCSVT, NeuNet, KBS, et al.
Research Interests
1) Computer Vision: Object Detection, Segmentation, Remote Sensing Image Processing, Color/Style Transfer, Image Inpainting, etc.
2) Artificial Intelligence Security: Image/Video Manipulation Detection and Localization, Steganography, Adversarial Machine Learning, etc.
Selected papers from 2019
17. Learn More and Learn Usefully: Truncation Compensation Network for Semantic Segmentation of High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2024.
16. Co-saliency detection with two-stage co-attention mining and individual calibration. Engineering Applications of Artificial Intelligence, 2023.
15. Triplet Spatiotemporal Aggregation Network for Video Saliency Detection. IEEE International Conference on Multimedia and Expo (oral), 2023.
14. Bridging feature complementarity gap between encoder and decoder for salient object detection. Digital Signal Processing, 2023.
13. Dual-Discriminator Generative Adversarial Network with Uniform Color Information Extraction for Color Constancy. Journal of Imaging Science and Technology, 2023.
12. A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection. International Conference on Artificial Neural Networks, 2023.
11. UTC: a unified transformer with inter-task contrastive learning for visual dialog. IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
10. Semantic Pre-alignment and Ranking Learning with Unified Framework for Cross-modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 2022.
9. Co-saliency detection with intra-group two-stage group semantics propagation and inter-group contrastive learning. Knowledge-Based Systems, 2022.
8. A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection. IEEE International Conference on Multimedia and Expo (oral), 2022.
7. Visual context learning based on textual knowledge for image–text retrieval. Neural Networks, 2022.
6. A Unified Multiple Inducible Co-Attentions and Edge Guidance Network for Co-Saliency Detection. International Conference on Artificial Neural Networks, 2022.
5. Feature Recalibration Network for Salient Object Detection. International Conference on Artificial Neural Networks, 2022.
4. Depth scale balance saliency detection with connective feature pyramid and edge guidance. Applied Intelligence, 2021.
3. SBN: Scale Balance Network for Accurate Salient Object Detection. International Joint Conference on Neural Networks, 2020.
2. Salient object detection with edge recalibration. International Conference on Artificial Neural Networks, 2020.
1. Directive local color transfer based on dynamic look-up table. Signal Processing: Image Communication, 2019.
多媒体内容取证
自然图像/遥感图像/跨模态数据的目标分割/分析等
Gender : Male
Alma Mater : 复旦大学
Education Level : With Certificate of Graduation for Doctorate Study
Degree : Doctoral Degree in Science
Status : 在岗
School/Department : 计算机学院、网络空间安全学院(数字取证教育部工程研究中心、公共计算机教学部)
Contact Information : zstan@nuist.edu.cn
PostalAddress : 临江楼1506
Email : zstan@nuist.edu.cn
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