Jianxun Lou

According to our database, Jianxun Lou authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database.

Jiashuo Chang, Zhengyi Li, Jianxun Lou, Zhen Qiu, Hanhe Lin

CoRR, May, 2025

Image Manipulation Quality Assessment.

Xinbo Wu, Jianxun Lou, Yingying Wu, Wan'an Liu, Paul L. Rosin, Gualtiero B. Colombo, Stuart M. Allen, Roger M. Whitaker, Hantao Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2025

2024

Blind Image Quality Assessment via Adaptive Graph Attention.

Huasheng Wang, Jiang Liu, Hongchen Tan, Jianxun Lou, Xiaochang Liu, Wei Zhou, Hantao Liu

IEEE Trans. Circuits Syst. Video Technol., October, 2024

SSPNet: Predicting Visual Saliency Shifts.

Huasheng Wang, Jianxun Lou, Xiaochang Liu, Hongchen Tan, Roger M. Whitaker, Hantao Liu

IEEE Trans. Multim., 2024

Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading.

Jianxun Lou, Hanhe Lin, Philippa Young, Richard White, Zelei Yang, Susan Cheng Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu

IEEE Trans. Multim., 2024

RAD-IQMRI: A benchmark for MRI image quality assessment.

Yueran Ma, Jianxun Lou, Jean-Yves Tanguy, Padraig Corcoran, Hantao Liu

Neurocomputing, 2024

TranSalNet+: Distortion-aware saliency prediction.

Jianxun Lou, Xinbo Wu, Padraig Corcoran, Paul L. Rosin, Hantao Liu

Neurocomputing, 2024

A Benchmark of Variance of Opinion Scores in Image Quality Assessment.

Jianxun Lou, Xinbo Wu, Yingying Wu, Padraig Corcoran, Gualtiero Colombo, Roger M. Whitaker, Hantao Liu

Proceedings of the IEEE International Conference on Image Processing, 2024

Time-Interval Visual Saliency Prediction in Mammogram Reading.

Jianxun Lou, Xinbo Wu, Richard White, Yingying Wu, Hantao Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

CUDAS: Distortion-Aware Saliency Benchmark.

Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Lévêque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu

IEEE Access, 2023

2022

TranSalNet: Towards perceptually relevant visual saliency prediction.

Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu

Neurocomputing, 2022

Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding.

Jianxun Lou, Hanhe Lin, David Marshall, Richard White, Young Yang, Susan Cheng Shelmerdine, Hantao Liu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

TranSalNet: Visual saliency prediction using transformers.

Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu

CoRR, 2021

Study of Saccadic Eye Movements in Diagnostic Imaging.

Jianxun Lou, Xin Zhao, Philippa Young, Richard White, Hantao Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021