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Hantao Liu
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Publications
- 2024
- [j60]Jianxun Lou, Hanhe Lin, Philippa Young, Richard White, Zelei Yang, Susan Cheng Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu:
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Trans. Multim. 26: 256-269 (2024) - [j59]Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe:
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. IEEE Trans. Multim. 26: 2671-2685 (2024) - 2023
- [j57]Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Lévêque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu:
CUDAS: Distortion-Aware Saliency Benchmark. IEEE Access 11: 58025-58036 (2023) - 2022
- [j41]Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu:
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 494: 455-467 (2022) - [c42]Jianxun Lou, Hanhe Lin, David Marshall, Richard White, Young Yang, Susan Cheng Shelmerdine, Hantao Liu:
Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding. ICIP 2022: 961-965 - [i5]Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe:
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. CoRR abs/2207.04904 (2022) - 2021
- [i3]Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu:
TranSalNet: Visual saliency prediction using transformers. CoRR abs/2110.03593 (2021) - 2020
- [c31]Xin Zhao, Hanhe Lin, Pengfei Guo, Dietmar Saupe, Hantao Liu:
Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images. ICIP 2020: 156-160
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