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Kai Niu

7 accepted papers

2025

SSC: 106 bit/s Ultra-low Bitrate Semantic Speech Coding

ICASSP 2025accepted

Currently, balancing low bitrate coding with speech quality is a highly debated topic in the research community. At very low bitrates, existing methods often fail to maintain speech naturalness, intelligibility, and personalization. To address this issue, we introduce an innovative ultra-low bitrate…

Cited by 0SourceScholar
2025

Synonymous Variational Inference for Perceptual Image Compression

ICML 2025poster

Recent contributions of semantic information theory reveal the set-element relationship between semantic and syntactic information, represented as synonymous relationships. In this paper, we propose a synonymous variational inference (SVI) method based on this synonymity viewpoint to re-analyze the…

2023

WITT: A Wireless Image Transmission Transformer for Semantic Communications

ICASSP 2023accepted

In this paper, we aim to redesign the vision Transformer (ViT) as a new backbone to realize semantic image transmission, termed wireless image transmission transformer (WITT). Previous works build upon convolutional neural networks (CNNs), which are inefficient in capturing global dependencies, resu…

Cited by 0SourceScholar
2023

Wireless Deep Speech Semantic Transmission

ICASSP 2023accepted

In this paper, we propose a new class of high-efficiency semantic coded transmission methods to realize end-to-end speech transmission over wireless channels. We name the whole system as Deep Speech Semantic Transmission (DSST). Specifically, we introduce a nonlinear transform to map the speech sour…

Cited by 0SourceScholar
2022

A Simple and Robust Correlation Filtering Method for Text-Based Person Search

ECCV 2022poster

"Text-based person search aims to associate pedestrian images with natural language descriptions. In this task, extracting differentiated representations and aligning them among identities and descriptions is an essential yet challenging problem. Most of the previous methods depend on additional lan…

2021

Neural Layered Min-Sum Decoding for Protograph LDPC Codes

ICASSP 2021accepted

In this paper, layered min-sum (MS) iterative decoding is formulated as a customized neural network following the sequential scheduling of check node (CN) updates. By virtue of the lifting structure of protograph low-density parity-check (LDPC) codes, identical network parameters are shared among al…

Cited by 0SourceScholar