Jiebin Yan

Orcid: 0000-0002-0337-6877

According to our database¹, Jiebin Yan authored at least 33 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Perceptual Quality Assessment of Omnidirectional Images: A Benchmark and Computational Model.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

A<sup>2</sup> GSTran: Depth Map Super-Resolution via Asymmetric Attention With Guidance Selection.

[BibT_eX]

[DOI]

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

Revisiting the robustness of spatio-temporal modeling in video quality assessment.

[BibT_eX]

[DOI]

Displays, January, 2024

Saliency Guided Deep Neural Network for Color Transfer With Light Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

A foreground-context dual-guided network for light-field salient object detection.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2024

Blind Quality Assessment of Panoramic Images Based on Multiple Viewport Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Meta-Point Learning and Refining for Category-Agnostic Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Quality-of-Experience Database for Adaptive Omnidirectional Video Streaming.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., September, 2023

Study of Spatio-Temporal Modeling in Video Quality Assessment.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

UDNet: Uncertainty-aware deep network for salient object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

2022

Subjective and Objective Quality of Experience of Free Viewpoint Videos.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Evaluating the Robustness of Depth Image Super-Resolution Models.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Bilinear CNNs for Blind Quality Assessment of Fine-Grained Images.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Benchmarking 360° Saliency Models by General-Purpose Metrics.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Perceptual Quality Assessment of Omnidirectional Images.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Blind Quality Assessment for Tone-Mapped Images by Analysis of Gradient and Chromatic Statistics.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Superpixel-Based Quality Assessment of Multi-Exposure Image Fusion for Both Static and Dynamic Scenes.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Perceptual Quality Assessment for Asymmetrically Distorted Stereoscopic Video by Temporal Binocular Rivalry.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Objective quality assessment of synthesized images by local variation measurement.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

Visual attention prediction for Autism Spectrum Disorder with hierarchical semantic fusion.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

Asymmetrically distorted 3D video quality assessment: From the motion variation to perceived quality.

[BibT_eX]

[DOI]

Signal Process., 2021

Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping.

[BibT_eX]

[DOI]

CoRR, 2021

2020

No Reference Quality Assessment for 3D Synthesized Views by Local Structure Variation and Global Naturalness Change.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

No-Reference Quality Assessment for Realistic Distorted Images by Color Moment and Texture Features.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Blind Stereoscopic Image Quality Assessment By Deep Neural Network Of Multi-Level Feature Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Stereoscopic image quality assessment by deep convolutional neural network.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

Learning a No-Reference Quality Predictor of Stereoscopic Images by Visual Binocular Properties.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

2017

Objective Quality Assessment of Screen Content Images by Uncertainty Weighting.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

No reference quality assessment for stereoscopic images by statistical features.

[BibT_eX]

[DOI]

Yuming Fang

Jiebin Yan

Jiheng Wang

Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017

No reference quality assessment for screen content images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

2016

Objective Quality Assessment of Screen Content Images by Structure Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Jiebin Yan

Timeline

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On csauthors.net:

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