Yaojun Wu
Orcid: 0000-0002-8138-4186Affiliations:
- 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 17 papers
between 2019 and 2025.
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Bibliography
2025
Entropy-Adapter-Based Deep Image Compression for User-Generated Content with Knowledge Distillation.
Proceedings of the Data Compression Conference, 2025
2024
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
Proceedings of the IEEE International Conference on Image Processing, 2024
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
IEEE Trans. Circuits Syst. Video Technol., 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
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
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
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