Yongqi Zhai

Orcid: 0000-0002-3748-1392

According to our database1, Yongqi Zhai authored at least 30 papers between 2021 and 2025.

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

Timeline

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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

Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction.
CoRR, March, 2025

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

MLIIC: Meta-Learned Implicit Image Codec with 15× Faster Encoding Speed and Higher Performance.
Proceedings of the Data Compression Conference, 2025

L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression.
Proceedings of the Data Compression Conference, 2025

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression.
Proceedings of the Data Compression Conference, 2025

Compressed 3D Gaussian Splatting Model with Residual Rendering.
Proceedings of the Data Compression Conference, 2025

MVCNet: An End to End Network for Multi-View Video Coding.
Proceedings of the Data Compression Conference, 2025

Feature Prediction for 3D Gaussian Splatting Compression.
Proceedings of the Data Compression Conference, 2025

Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
FICNet: An End to End Network for Free-View Image Coding.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Learned Video Compression with Adaptive Temporal Prior and Decoded Motion-aided Quality Enhancement.
ACM Trans. Multim. Comput. Commun. Appl., August, 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

BSSIC: Stereo Image Compression Based on Block Shift.
Proceedings of the International Joint Conference on Neural Networks, 2024

Compression-Aware Tuning for Compressing Volumetric Radiance Fields.
Proceedings of the IEEE International Conference on Image Processing, 2024

Improving Learned Video Compression by Exploring Spatial Redundancy.
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
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

Improving Multi-generation Robustness of Learned Image Compression.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

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

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression.
CoRR, 2022

Disparity-based Stereo Image Compression with Aligned Cross-View Priors.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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

2021
AFEC: Adaptive Feature Extraction Modules for Learned Image Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Variable Rate ROI Image Compression Optimized for Visual Quality.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


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