research
∙
01/29/2021
A new communication paradigm: from bit accuracy to semantic fidelity
Wireless communication has achieved great success in the past several de...
share
research
∙
12/31/2020
From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems
Existing communication systems are mainly built based on Shannon's infor...
research
∙
12/16/2020
Temporal Graph Modeling for Skeleton-based Action Recognition
Graph Convolutional Networks (GCNs), which model skeleton data as graphs...
research
∙
09/29/2018
Knowledge-guided Semantic Computing Network
It is very useful to integrate human knowledge and experience into tradi...
research
∙
02/01/2018
Full Image Recover for Block-Based Compressive Sensing
Recent years, compressive sensing (CS) has improved greatly for the appl...
research
∙
02/01/2018
Perceptual Compressive Sensing
This paper proposes perceptual compressive sensing. The network is compo...
research
∙
01/31/2018
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning
Compressive sensing (CS), aiming to reconstruct an image/signal from a s...
research
∙
11/21/2017
Fully-Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Recently, deep learning methods have made a significant improvement in c...
research
∙
10/05/2017
Real-Time Illegal Parking Detection System Based on Deep Learning
The increasing illegal parking has become more and more serious. Nowaday...
research
∙
09/23/2017
Adaptive Measurement Network for CS Image Reconstruction
Conventional compressive sensing (CS) reconstruction is very slow for it...
research
∙
09/15/2017