Yihao Liu

Orcid: 0000-0001-9874-0602

Affiliations:
  • Shenzhen Institute of Advanced Technology, CAS, China


According to our database1, Yihao Liu authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Temporally consistent video colorization with deep feature propagation and self-regularization learning.
Comput. Vis. Media, April, 2024

2023
Evaluating the Generalization Ability of Super-Resolution Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Blind Image Super-Resolution: A Survey and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation.
IEEE Trans. Multim., 2023

A Comparative Study of Image Restoration Networks for General Backbone Network Design.
CoRR, 2023

Unifying Image Processing as Visual Prompting Question Answering.
CoRR, 2023

Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation.
CoRR, 2023

Masked Image Training for Generalizable Deep Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DegAE: A New Pretraining Paradigm for Low-Level Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Interactive Multi-Dimension Modulation for Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm.
CoRR, 2022

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Discovering "Semantics" in Super-Resolution Networks.
CoRR, 2021

Learn to Match: Automatic Matching Network Design for Visual Tracking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Residual and Dense UNet for Under-Display Camera Restoration.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Video Temporal Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Enhanced Quadratic Video Interpolation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Conditional Sequential Modulation for Efficient Global Image Retouching.
Proceedings of the Computer Vision - ECCV 2020, 2020

FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
CoRR, 2018

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


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