Search Results for author: Yongqi Zhai

Found 6 papers, 2 papers with code

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding

no code implementations2 Feb 2024 Jiayu Yang, Wei Jiang, Yongqi Zhai, Chunhui Yang, Ronggang Wang

This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024. Specifically, we propose a unified contextual video compression framework (UCVC) for joint P-frame and B-frame coding.

Image Compression Video Compression

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression

1 code implementation28 Jul 2023 Wei Jiang, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang

Additionally, to capture global contexts, we propose the linear complexity attention-based global correlations capturing by leveraging the decomposition of the softmax operation.

Image Compression

LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression

no code implementations19 Apr 2023 Wei Jiang, Peirong Ning, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang

To demonstrate the effectiveness of proposed transform coding, we align the entropy model to compare with existing transform methods and obtain models LLIC-STF, LLIC-ELIC, LLIC-TCM.

Image Compression

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression

no code implementations4 Jan 2022 Yi Ma, Yongqi Zhai, Ronggang Wang

In this paper, we propose the first learned fine-grained scalable image compression model (DeepFGS) to overcome the above two shortcomings.

Image Compression MS-SSIM +1

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