activity
20192022
most citedFew-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2022

Variational Speech Waveform Compression to Catalyze Semantic Communications

Shengshi Yao, Zixuan Xiao, Sixian Wang +3

We propose a novel neural waveform compression method to catalyze emerging speech semantic communications. By introducing nonlinear transform and variational modeling, we effective…

cs.SD2022

Wireless Deep Speech Semantic Transmission

Zixuan Xiao, Shengshi Yao, Jincheng Dai +3

In this paper, we propose a new class of high-efficiency semantic coded transmission methods for end-to-end speech transmission over wireless channels. We name the whole system as…

cs.CV2020★ 2 cited

Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images

Zixuan Xiao, Wei Xue, Ping Zhong

In remote sensing field, there are many applications of object detection in recent years, which demands a great number of labeled data. However, we may be faced with some cases whe…

cs.CV2020

Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images

Zixuan Xiao, Ping Zhong, Yuan Quan +2

In recent years, there are many applications of object detection in remote sensing field, which demands a great number of labeled data. However, in many cases, data is extremely ra…

cs.CV2019

A novel statistical metric learning for hyperspectral image classification

Zhiqiang Gong, Ping Zhong, Weidong Hu +2

In this paper, a novel statistical metric learning is developed for spectral-spatial classification of the hyperspectral image. First, the standard variance of the samples of each…