Yaojun Wu

Orcid: 0000-0002-8138-4186

Affiliations:
  • ByteDance, Beijing, China
  • University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China


According to our database1, Yaojun Wu authored at least 23 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An Overview of the JPEG AI Learning-Based Image Coding Standard.
IEEE Trans. Circuits Syst. Video Technol., February, 2026

PINIC: Discrete Wavelet Transform-Guided Progressive Implicit Neural Image Compression.
Proceedings of the Data Compression Conference, 2026

2025
From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression.
CoRR, November, 2025

EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Neural Video Compression with In-Loop Contextual Filtering and Out-of-Loop Reconstruction Enhancement.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Efficient Local-Global Collaboration Transcoding for JPEG AI.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Entropy-Adapter-Based Deep Image Compression for User-Generated Content with Knowledge Distillation.
Proceedings of the Data Compression Conference, 2025

2024
End-to-End Learning-Based Image Compression With a Decoupled Framework.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

Wavelet-like Transform with Subbands Fusion in Decoupled Structure for Deep Image Compression.
Proceedings of the Picture Coding Symposium, 2024

Optimized Decoupled Structure with Non-Local Attention for Deep Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2024

Leveraging Conv-Attention for Efficient and High-Quality JPEG AI Image Coding.
Proceedings of the Data Compression Conference, 2024

2023
Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

QVRF: A Quantization-Error-Aware Variable Rate Framework for Learned Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Learned Block-Based Hybrid Image Compression.
IEEE Trans. Circuits Syst. Video Technol., 2022

Transform Skip Inspired End-to-End Compression for Screen Content Image.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Perceptual Friendly Variable Rate Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Memorize, Then Recall: A Generative Framework for Low Bit-Rate Surveillance Video Compression.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020


FAN: Frequency Aggregation Network for Real Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration.
Proceedings of the Computer Vision - ECCV 2020, 2020

3-D Context Entropy Model for Improved Practical Image Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learned Video Compression with Feature-level Residuals.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A no-reference quality assessment for contrast-distorted image based on improved learning method.
Multim. Tools Appl., 2019


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