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09/19/2023
Retinex-guided Channel-grouping based Patch Swap for Arbitrary Style Transfer
The basic principle of the patch-matching based style transfer is to sub...
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06/20/2023
Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework
Semantic-aware communication is a novel paradigm that draws inspiration ...
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03/09/2023
A Theory for Semantic Communications
Semantic communications, as one of the potential key technologies of the...
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02/01/2023
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
With the rising demand for wireless services and increased awareness of ...
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01/26/2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Real-time machine learning has recently attracted significant interest d...
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11/13/2022
Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging
To acquire a snapshot spectral image, coded aperture snapshot spectral i...
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10/28/2022
Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning
Semantic communication has recently attracted significant interest from ...
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03/09/2022
ModulE: Module Embedding for Knowledge Graphs
Knowledge graph embedding (KGE) has been shown to be a powerful tool for...
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02/08/2022
Rate-Distortion Theory for Strategic Semantic Communication
This paper analyzes the fundamental limit of the strategic semantic comm...
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02/04/2022
Life-long Learning for Reasoning-based Semantic Communication
Semantic communication is an emerging paradigm that focuses on understan...
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02/04/2022
Reasoning on the Air: An Implicit Semantic Communication Architecture
Semantic communication is a novel communication paradigm which draws ins...
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12/15/2021
Robust Depth Completion with Uncertainty-Driven Loss Functions
Recovering a dense depth image from sparse LiDAR scans is a challenging ...
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05/09/2021
Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search
Single Image Super-Resolution (SISR) tasks have achieved significant per...
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04/21/2021
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks
With the fast growing demand on new services and applications as well as...
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04/12/2021
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
The reading of arbitrarily-shaped text has received increasing research ...
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04/06/2021
Searching Efficient Model-guided Deep Network for Image Denoising
Neural architecture search (NAS) has recently reshaped our understanding...
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03/12/2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
In coded aperture snapshot spectral imaging (CASSI) system, the real-wor...
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01/29/2021
A new communication paradigm: from bit accuracy to semantic fidelity
Wireless communication has achieved great success in the past several de...
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01/16/2021
Optical Flow Estimation via Motion Feature Recovery
Optical flow estimation with occlusion or large displacement is a proble...
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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...
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12/16/2020
Temporal Graph Modeling for Skeleton-based Action Recognition
Graph Convolutional Networks (GCNs), which model skeleton data as graphs...
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11/25/2020
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
This paper studies an edge intelligence-based IoT network in which a set...
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11/16/2020
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
In 2D+3D facial expression recognition (FER), existing methods generate ...
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11/16/2020
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
This paper addresses the challenging unsupervised scene flow estimation ...
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10/01/2020
Towards Self-learning Edge Intelligence in 6G
Edge intelligence, also called edge-native artificial intelligence (AI),...
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09/14/2020
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network
Deep neural networks (DNNs) based methods have achieved great success in...
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04/11/2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Recently, increasing interest has been drawn in exploiting deep convolut...
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08/15/2019
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning
Detecting scene text of arbitrary shapes has been a challenging task ove...
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11/20/2018
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning
As an emerging field, Automated Machine Learning (AutoML) aims to reduce...
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09/29/2018
Knowledge-guided Semantic Computing Network
It is very useful to integrate human knowledge and experience into tradi...
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07/18/2018
Learning Hybrid Sparsity Prior for Image Restoration: Where Deep Learning Meets Sparse Coding
State-of-the-art approaches toward image restoration can be classified i...
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02/13/2018
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network
Image demosaicing - one of the most important early stages in digital ca...
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02/01/2018
Full Image Recover for Block-Based Compressive Sensing
Recent years, compressive sensing (CS) has improved greatly for the appl...
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02/01/2018
Perceptual Compressive Sensing
This paper proposes perceptual compressive sensing. The network is compo...
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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...
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01/21/2018
Denoising Prior Driven Deep Neural Network for Image Restoration
Deep neural networks (DNNs) have shown very promising results for variou...
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11/21/2017
Fully-Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Recently, deep learning methods have made a significant improvement in c...
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10/05/2017
Real-Time Illegal Parking Detection System Based on Deep Learning
The increasing illegal parking has become more and more serious. Nowaday...
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09/23/2017
Adaptive Measurement Network for CS Image Reconstruction
Conventional compressive sensing (CS) reconstruction is very slow for it...
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09/15/2017
Feature-Fused SSD: Fast Detection for Small Objects
Small objects detection is a challenging task in computer vision due to ...
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12/06/2010