| Deep learning vs. traditional algorithms for saliency prediction of distorted images X Zhao, H Lin, P Guo, D Saupe, H Liu 2020 IEEE International Conference on Image Processing (ICIP), 156-160, 2020 | 4 | 2020 |
| Fracture surface morphology characterization and its influence on plugging performance of granular lost circulation materials X Zang, Z Qiu, H Zhong, X Zhao, P Guo, W Gao, Y Lin Geoenergy Science and Engineering 230, 212189, 2023 | 3 | 2023 |
| Study of saccadic eye movements in diagnostic imaging J Lou, X Zhao, P Young, R White, H Liu 2021 IEEE International Conference on Image Processing (ICIP), 1474-1478, 2021 | 3 | 2021 |
| A metric for quantifying image quality induced saliency variation P Guo, X Zhao, D Zeng, H Liu 2021 IEEE International Conference on Image Processing (ICIP), 1459-1463, 2021 | 1 | 2021 |
| CUDAS: Distortion-aware saliency benchmark X Zhao, J Lou, X Wu, Y Wu, L Lévêque, X Liu, P Guo, Y Qin, H Lin, ... IEEE Access, 2023 | | 2023 |
| Identifying pitfalls in the evaluation of saliency models for videos Z Dong, X Wu, X Zhao, F Zhang, H Liu 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | | 2022 |
| Convex optimization method for quantifying image quality induced saliency variation P Guo, X Zhao, D Wu, L Zhang, D Zeng, H Liu IEEE Access 9, 111533-111543, 2021 | | 2021 |
