Shaolin Su

According to our database, Shaolin Su authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model.

Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe

IEEE Trans. Multim., 2024

Fine-grained subjective visual quality assessment for high-fidelity compressed images.

Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi, Shaolin Su, João Ascenso, Touradj Ebrahimi, Jon Sneyers, Dietmar Saupe

CoRR, 2024

GSDD: Generative Space Dataset Distillation for Image Super-resolution.

Haiyu Zhang, Shaolin Su, Yu Zhu, Jinqiu Sun, Yanning Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance.

Rui Li, Danna Xue, Shaolin Su, Xiantuo He, Qing Mao, Yu Zhu, Jinqiu Sun, Yanning Zhang

Pattern Recognit., May, 2023

Konx: cross-resolution image quality assessment.

Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe

Qual. User Exp., 2023

From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image Quality Assessment Approach.

Shaolin Su, Qingsen Yan, Yu Zhu, Jinqiu Sun, Yanning Zhang

Pattern Recognit., 2023

Boosting No-Reference Super-Resolution Image Quality Assessment with Knowledge Distillation and Extension.

Haiyu Zhang, Shaolin Su, Yu Zhu, Jinqiu Sun, Yanning Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes.

Cheng Zhang, Shaolin Su, Yu Zhu, Qingsen Yan, Jinqiu Sun, Yanning Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects.

Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network.

Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, Yanning Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Blind Image Quality Assessment via Deep Recursive Convolutional Network with Skip Connection.

Qingsen Yan, Jinqiu Sun, Shaolin Su, Yu Zhu, Haisen Li, Yanning Zhang

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018