Search Results for author: Runsen Feng

Found 9 papers, 1 papers with code

NVTC: Nonlinear Vector Transform Coding

no code implementations CVPR 2023 Runsen Feng, Zongyu Guo, Weiping Li, Zhibo Chen

In theory, vector quantization (VQ) is always better than scalar quantization (SQ) in terms of rate-distortion (R-D) performance.

Image Compression Quantization

Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression

no code implementations12 May 2023 Yixin Gao, Runsen Feng, Zongyu Guo, Zhibo Chen

By quantifying the decoding complexity as a factor in the optimization goal, we are now able to precisely control the RDC trade-off and then demonstrate how the rate-distortion performance of neural image codecs could adapt to various complexity demands.

Image Compression

Semantically Structured Image Compression via Irregular Group-Based Decoupling

no code implementations ICCV 2023 Ruoyu Feng, Yixin Gao, Xin Jin, Runsen Feng, Zhibo Chen

Nevertheless, they divide the input image into multiple rectangular regions according to semantics and ignore avoiding information interaction among them, causing waste of bitrate and distorted reconstruction of region boundaries.

Image Compression

Image Coding for Machines with Omnipotent Feature Learning

no code implementations5 Jul 2022 Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen

Learning a kind of feature that is both general (for AI tasks) and compact (for compression) is pivotal for its success.

Self-Supervised Learning

Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks

no code implementations25 Jan 2022 Xin Jin, Ruoyu Feng, Simeng Sun, Runsen Feng, Tianyu He, Zhibo Chen

Traditional media coding schemes typically encode image/video into a semantic-unknown binary stream, which fails to directly support downstream intelligent tasks at the bitstream level.

Action Recognition object-detection +7

Causal Contextual Prediction for Learned Image Compression

no code implementations19 Nov 2020 Zongyu Guo, Zhizheng Zhang, Runsen Feng, Zhibo Chen

In this paper, we propose the concept of separate entropy coding to leverage a serial decoding process for causal contextual entropy prediction in the latent space.

Image Compression MS-SSIM +1

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