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05/22/2023
EMEF: Ensemble Multi-Exposure Image Fusion
Although remarkable progress has been made in recent years, current mult...
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03/24/2023
MusicFace: Music-driven Expressive Singing Face Synthesis
It is still an interesting and challenging problem to synthesize a vivid...
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11/22/2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Some self-supervised cross-modal learning approaches have recently demon...
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11/10/2022
Robust Security Energy Efficiency Optimization for RIS-Aided Cell-Free Networks with Multiple Eavesdroppers
In this paper, we investigate the energy efficiency (EE) problem under r...
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08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
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06/22/2022
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
In this paper, we present the Intra- and Inter-Human Relation Networks (...
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02/15/2022
Securing Reconfigurable Intelligent Surface-Aided Cell-Free Networks
In this paper, we investigate the physical layer security in the reconfi...
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02/15/2022
Ultra Wide Band THz IRS Communications: Applications, Challenges, Key Techniques, and Research Opportunities
Terahertz (THz) communication is a promising technology for future wirel...
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12/06/2021
General Facial Representation Learning in a Visual-Linguistic Manner
How to learn a universal facial representation that boosts all face anal...
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08/18/2021
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
In this paper, we propose a talking face generation method that takes an...
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08/15/2021
Exploring Temporal Coherence for More General Video Face Forgery Detection
Although current face manipulation techniques achieve impressive perform...
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06/21/2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Multi-view clustering, a long-standing and important research problem, f...
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06/21/2021
Graph Attention Networks with LSTM-based Path Reweighting
Graph Neural Networks (GNNs) have been extensively used for mining graph...
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03/20/2021
UAV Communications for Sustainable Federated Learning
Federated learning (FL), invented by Google in 2016, has become a hot re...
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01/19/2021
IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
In this article, we overview intelligent reflecting surface (IRS)-empowe...
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09/13/2020
Robust Design for Intelligent Reflecting Surface Assisted MIMO-OFDMA Terahertz Communications
Recently, terahertz (THz) communication has drawn considerable attention...
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08/13/2020
Hardware Impaired Ambient Backscatter NOMA Systems: Reliability and Security
Non-orthogonal multiple access (NOMA) and ambient backscatter communicat...
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07/30/2020
Heatmap-based Vanishing Point boosts Lane Detection
Vision-based lane detection (LD) is a key part of autonomous driving tec...
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06/09/2020
D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in Natural Scenes
As an important part of linear perspective, vanishing points (VPs) provi...
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06/08/2020
Unstructured Road Vanishing Point Detection Using the Convolutional Neural Network and Heatmap Regression
Unstructured road vanishing point (VP) detection is a challenging proble...
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02/11/2020
Edge Cache-assisted Secure Low-Latency Millimeter Wave Transmission
In this paper, we consider an edge cache-assisted millimeter wave cloud ...
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02/11/2020
Joint Beamforming And Power Splitting Design For C-RAN With Multicast Fronthaul
In this paper, we investigate the joint beamforming and power splitting ...
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11/21/2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
The graph is a natural representation of data in a variety of real-world...
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10/10/2019
Dynamic Spectrum Sharing for Load Balancing in Multi-Cell Mobile Edge Computing
Large-scale mobile edge computing (MEC) systems require scalable solutio...
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09/13/2019
Codebook-Based Max-Min Energy-Efficient Resource Allocation for Uplink mmWave MIMO-NOMA Systems
In this paper, we investigate the energy-efficient resource allocation p...
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07/23/2019
Non-Orthogonal Multiple Access (NOMA): How It Meets 5G and Beyond
Due to massive connectivity and increasing demands of various services a...
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06/04/2019
Face Parsing with RoI Tanh-Warping
Face parsing computes pixel-wise label maps for different semantic compo...
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03/13/2019
Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO with NOMA
In this paper, we study the energy efficiency (EE) maximization problem ...
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03/13/2019
Energy-Efficient Joint User-RB Association and Power Allocation for Uplink Hybrid NOMA-OMA
In this paper, energy efficient resource allocation is considered for an...
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03/13/2019
Securing Downlink Massive MIMO-NOMA Networks with Artificial Noise
In this paper, we focus on securing the confidential information of mass...
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10/07/2018
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
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01/22/2018
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Labeled data used for training activity recognition classifiers are usua...
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12/30/2017
Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
This article presents advances in resource allocation (RA) for downlink ...
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07/12/2016