Yutao Liu

Orcid: 0000-0002-3066-1884

Affiliations:

Ocean University of China, Qingdao, China
Tsinghua University, Tsinghua Shenzhen International Graduate School, Beijing, China (2018-2021)
Harbin Institute of Technology, HIT, School of Computer Science and Technology, China (PhD 2018)
Shanghai Jiao Tong University, Institute of Image Communication and Information Processing, China (2014-2016)

According to our database¹, Yutao Liu authored at least 38 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Underwater Image Quality Assessment: Benchmark Database and Objective Method.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

UIQI: A Comprehensive Quality Evaluation Index for Underwater Images.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Multi-Modal Prompt Learning on Blind Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2024

Feature Denoising Diffusion Model for Blind Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2024

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning.

[BibT_eX]

[DOI]

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

2023

Toward a No-Reference Quality Metric for Camera-Captured Images.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., June, 2023

Image Quality Assessment for Realistic Zoom Photos.

[BibT_eX]

[DOI]

Sensors, 2023

Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity.

[BibT_eX]

[DOI]

CoRR, 2023

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2023

RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Method.

[BibT_eX]

[DOI]

CoRR, 2023

AUIQE: Attention-Based Underwater Image Quality Evaluator.

[BibT_eX]

[DOI]

Proceedings of the Digital Multimedia Communications, 2023

Concealed Object Segmentation with Hierarchical Coherence Modeling.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Data-Efficient Image Quality Assessment with Attention-Panel Decoder.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Blindly Evaluate the Quality of Underwater Images via Multi-perceptual Properties.

[BibT_eX]

[DOI]

Proceedings of the Digital Multimedia Communications - The 19th International Forum, 2022

2021

Depth Image Denoising Using Nuclear Norm and Learning Graph Model.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

Precise No-Reference Image Quality Evaluation Based on Distortion Identification.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2021

Blind quality assessment of night-time image.

[BibT_eX]

[DOI]

Displays, 2021

2020

Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2020

Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

No-Reference Quality Assessment for Contrast-Distorted Images.

[BibT_eX]

[DOI]

Yutao Liu

Xiu Li

IEEE Access, 2020

2019

Blind Quality Assessment of Camera Images Based on Low-Level and High-Level Statistical Features.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

2018

Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

Blind Image Quality Estimation via Distortion Aggravation.

[BibT_eX]

[DOI]

IEEE Trans. Broadcast., 2018

Reduced-Reference Image Quality Assessment Based on Free-Energy Principle with Multi-Channel Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

2017

Quality assessment for real out-of-focus blurred images.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2017

Fast Noisy Image Quality Assessment Based on Free-Energy Principle.

[BibT_eX]

[DOI]

Proceedings of the Digital TV and Wireless Multimedia Communication, 2017

Bit-Depth Enhancement via Convolutional Neural Network.

[BibT_eX]

[DOI]

Jing Liu

Wanning Sun

Yutao Liu

Proceedings of the Digital TV and Wireless Multimedia Communication, 2017

Reduced reference stereoscopic image quality assessment based on entropy of classified primitives.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Dynamic backlight scaling considering ambient luminance for mobile energy saving.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Reduced Reference Image Quality Assessment Based on Entropy of Classified Primitives.

[BibT_eX]

[DOI]

Proceedings of the 2017 Data Compression Conference, 2017

2016

A reduced-reference quality assessment scheme for blurred images.

[BibT_eX]

[DOI]

Proceedings of the 2016 Visual Communications and Image Processing, 2016

Perceptual image quality assessment combining free-energy principle and sparse representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015

Quality assessment for out-of-focus blurred images.

[BibT_eX]

[DOI]

Proceedings of the 2015 Visual Communications and Image Processing, 2015

Frame Rate and Perceptual Quality for HD Video.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

2013

Motion vector refinement for frame rate up conversion on 3D video.

[BibT_eX]

[DOI]

Proceedings of the 2013 Visual Communications and Image Processing, 2013

Yutao Liu

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