Segui
Shaolin Su
Titolo
Citata da
Citata da
Anno
Blindly assess image quality in the wild guided by a self-adaptive hyper network
S Su, Q Yan, Y Zhu, C Zhang, X Ge, J Sun, Y Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
5702020
Koniq++: Boosting no-reference image quality assessment in the wild by jointly predicting image quality and defects
S Su, V Hosu, H Lin, Y Zhang, D Saupe
The 32nd British Machine Vision Conference, 2021
232021
Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance
R Li, D Xue, S Su, X He, Q Mao, Y Zhu, J Sun, Y Zhang
Pattern Recognition 137, 109297, 2023
202023
Going the extra mile in face image quality assessment: A novel database and model
S Su, H Lin, V Hosu, O Wiedemann, J Sun, Y Zhu, H Liu, Y Zhang, ...
IEEE Transactions on Multimedia, 2023
142023
From distortion manifold to perceptual quality: a data efficient blind image quality assessment approach
S Su, Q Yan, Y Zhu, J Sun, Y Zhang
Pattern Recognition 133, 109047, 2023
142023
Exploring and evaluating image restoration potential in dynamic scenes
C Zhang, S Su, Y Zhu, Q Yan, J Sun, Y Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
122022
Konx: cross-resolution image quality assessment
O Wiedemann, V Hosu, S Su, D Saupe
Quality and User Experience 8 (1), 8, 2023
42023
Boosting no-reference super-resolution image quality assessment with knowledge distillation and extension
H Zhang, S Su, Y Zhu, J Sun, Y Zhang
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
GSDD: Generative Space Dataset Distillation for Image Super-resolution
H Zhang, S Su, Y Zhu, J Sun, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7069-7077, 2024
12024
Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network–Supplementary Material
S Su, Q Yan, Y Zhu, C Zhang, X Ge, J Sun, Y Zhang
Northwestern Polytechnical University: Xi’an, China, 2020
12020
Blind image quality assessment via deep recursive convolutional network with skip connection
Q Yan, J Sun, S Su, Y Zhu, H Li, Y Zhang
Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018
12018
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes–Supplementary Material
C Zhang, S Su, Y Zhu, Q Yan, J Sun, Y Zhang
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