← Search

Shanzhi Yin

2 accepted papers

2024

Bandwidth-Efficient Inference for Nerual Image Compression

ICASSP 2024accepted

With neural networks growing deeper and feature maps growing larger, limited communication bandwidth with external memory (or DRAM) and power constraints become a bottle-neck in implementing network inference on mobile and edge devices. In this paper, we propose an end-to-end differentiable bandwidt…

Cited by 0SourceScholar
2022

Universal Efficient Variable-Rate Neural Image Compression

ICASSP 2022accepted

Recently, Learning-based image compression has reached comparable performance with traditional image codecs(such as JPEG, BPG, WebP). However, computational complexity and rate flexibility are still two major challenges for its practical deployment. To tackle these problems, this paper proposes two…

Cited by 0SourceScholar