Search Results for author: Zhenhong Sun

Found 5 papers, 2 papers with code

Interpolation variable rate image compression

no code implementations20 Sep 2021 Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Dongyang Li, Hao Li

Compression standards have been used to reduce the cost of image storage and transmission for decades.

Image Compression MS-SSIM +1

Spatiotemporal Entropy Model is All You Need for Learned Video Compression

no code implementations13 Apr 2021 Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Dongyang Li, Yichen Qian, Hao Li

The framework of dominant learned video compression methods is usually composed of motion prediction modules as well as motion vector and residual image compression modules, suffering from its complex structure and error propagation problem.

Image Compression motion prediction +3

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition

1 code implementation1 Feb 2021 Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

Comparing with previous NAS methods, the proposed Zen-NAS is magnitude times faster on multiple server-side and mobile-side GPU platforms with state-of-the-art accuracy on ImageNet.

Neural Architecture Search

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition

1 code implementation ICCV 2021 Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

To address this issue, instead of using an accuracy predictor, we propose a novel zero-shot index dubbed Zen-Score to rank the architectures.

Neural Architecture Search

Learning Accurate Entropy Model with Global Reference for Image Compression

no code implementations ICLR 2021 Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin

In this work, we propose a novel Global Reference Model for image compression to effectively leverage both the local and the global context information, leading to an enhanced compression rate.

Image Compression

Cannot find the paper you are looking for? You can Submit a new open access paper.