Wei Jiang

Orcid: 0000-0001-9169-1924

Affiliations:
  • Peking University, Shenzhen Graduate School, School of Electronic and Computer Engineering, Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen, China


According to our database1, Wei Jiang authored at least 17 papers between 2022 and 2025.

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

2025
MLIC<sup>++</sup>: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression.
ACM Trans. Multim. Comput. Commun. Appl., May, 2025

L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression.
CoRR, April, 2025

Adaptive Prediction Structure for Learned Video Compression.
ACM Trans. Multim. Comput. Commun. Appl., February, 2025

ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
LLIC: Large Receptive Field Transform Coding With Adaptive Weights for Learned Image Compression.
IEEE Trans. Multim., 2024

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression.
CoRR, 2024

Learned Image Compression with ROI-Weighted Distortion and Bit Allocation.
CoRR, 2024

LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression.
Proceedings of the IEEE International Conference on Acoustics, 2024

Hybrid Local-Global Context Learning for Neural Video Compression.
Proceedings of the Data Compression Conference, 2024

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding.
Proceedings of the Data Compression Conference, 2024

2023
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression.
CoRR, 2023

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform.
CoRR, 2023

SLIC: Self-Conditioned Adaptive Transform with Large-Scale Receptive Fields for Learned Image Compression.
CoRR, 2023

Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

MLIC: Multi-Reference Entropy Model for Learned Image Compression.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Multi-Reference Entropy Model for Learned Image Compression.
CoRR, 2022

Image Quality Assessment with Transformers and Multi-Metric Fusion Modules.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022


  Loading...