| Splicing image forgery detection using textural features based on the grey level co‐occurrence matrices X Shen, Z Shi, H Chen IET Image Processing 11 (1), 44-53, 2017 | 79 | 2017 |
| Image manipulation detection and localization based on the dual-domain convolutional neural networks Z Shi, X Shen, H Kang, Y Lv IEEE Access 6, 76437-76453, 2018 | 46 | 2018 |
| Hybrid features and semantic reinforcement network for image forgery detection H Chen, C Chang, Z Shi, Y Lyu Multimedia Systems 28 (2), 363-374, 2022 | 31 | 2022 |
| Image splicing detection based on Markov features in discrete octonion cosine transform domain H Sheng, X Shen, Y Lyu, Z Shi, S Ma IET Image Processing 12 (10), 1815-1823, 2018 | 29 | 2018 |
| Pancreas segmentation by two-view feature learning and multi-scale supervision H Chen, Y Liu, Z Shi, Y Lyu Biomedical Signal Processing and Control 74, 103519, 2022 | 28 | 2022 |
| Global semantic consistency network for image manipulation detection Z Shi, X Shen, H Chen, Y Lyu IEEE Signal Processing Letters 27, 1755-1759, 2020 | 24 | 2020 |
| Transformer-auxiliary neural networks for image manipulation localization by operator inductions Z Shi, H Chen, D Zhang IEEE Transactions on Circuits and Systems for Video Technology 33 (9), 4907-4920, 2023 | 23 | 2023 |
| PR‐NET: progressively‐refined neural network for image manipulation localization Z Shi, C Chang, H Chen, X Du, H Zhang International Journal of Intelligent Systems 37 (5), 3166-3188, 2022 | 17 | 2022 |
| Discrepancy-guided reconstruction learning for image forgery detection Z Shi, H Chen, L Chen, D Zhang arXiv preprint arXiv:2304.13349, 2023 | 11 | 2023 |
| FPF-Net: feature propagation and fusion based on attention mechanism for pancreas segmentation H Chen, Y Liu, Z Shi Multimedia systems 29 (2), 525-538, 2023 | 9 | 2023 |
| An image splicing localization algorithm based on SLIC and image features H Chen, C Zhao, Z Shi, F Zhu Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 5 | 2018 |
| Semantic-agnostic progressive subtractive network for image manipulation detection and localization D Xu, X Shen, Z Shi, N Ta Neurocomputing 543, 126263, 2023 | 4 | 2023 |
| RB-Net: integrating region and boundary features for image manipulation localization D Xu, X Shen, Y Huang, Z Shi Multimedia Systems 29 (5), 3055-3067, 2023 | 3 | 2023 |
| A complementary and contrastive network for stimulus segmentation and generalization N Ta, H Chen, Y Lyu, X Wang, Z Shi, Z Liu Image and Vision Computing 135, 104694, 2023 | 3 | 2023 |
| Adaptive multi-order graph neural networks for human motion prediction P Su, X Shen, Z Shi, W Liu 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 3 | 2022 |
| Blind detection of image splicing based on fuzzy run-length Z Shi, X Shen, H Chen, X Li 2015 IEEE International Conference on Computer and Information Technology …, 2015 | 3 | 2015 |
| Image Splicing Detection Based on the Q-Markov Features H Sheng, X Shen, Z Shi Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 2 | 2018 |
| Collaborative region-boundary interaction network for medical image segmentation N Ta, H Chen, B Du, X Wang, Z Shi Multimedia Tools and Applications 83 (10), 30399-30421, 2024 | | 2024 |
| PL-GNet: Pixel Level Global Network for detection and localization of image forgeries Z Shi, X Shen, H Chen, Y Lyu Signal Processing: Image Communication 119, 117029, 2023 | | 2023 |
| Face Reconstruction-Based Generalized Deepfake Detection Model with Residual Outlook Attention Z Shi, W Liu, H Chen ACM Transactions on Multimedia Computing, Communications and Applications, 0 | | |
