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09/21/2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
For improving image composition and aesthetic quality, most existing met...
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08/16/2023
An Efficient Early-breaking Estimation and Tree-splitting Missing RFID Tag Identification Protocol
Recent statistics have demonstrated that missing items have become the m...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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05/31/2023
Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive
Modern consumer cameras usually employ the rolling shutter (RS) mechanis...
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12/01/2022
Efficient stereo matching on embedded GPUs with zero-means cross correlation
Mobile stereo-matching systems have become an important part of many app...
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10/17/2022
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
This paper introduces the methods and the results of AIM 2022 challenge ...
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07/05/2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Since 2016 federated learning (FL) has been an evolving topic of discuss...
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05/31/2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
Predictive autoscaling (autoscaling with workload forecasting) is an imp...
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10/13/2021
Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling
Low earth orbit (LEO) satellite-assisted communications have been consid...
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10/13/2021
Joint Optimization of Beam-Hopping Design and NOMA-Assisted Transmission for Flexible Satellite Systems
Next-generation satellite systems require more flexibility in resource m...
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05/17/2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Image denoising is one of the most critical problems in mobile photo pro...
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02/10/2021
An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids
Smart grids extremely rely on Information and Communications Technology ...
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09/13/2020
An Overview of Generic Tools for Information-Theoretic Secrecy Performance Analysis over Wiretap Fading Channels
An alternative or supplementary approach named as physical layer securit...
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07/09/2020
NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches
Non-Orthogonal Multiple Access (NOMA) has potentials to improve the perf...
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06/24/2020
Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization
In unmanned aerial vehicle (UAV) applications, the UAV's limited energy ...
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02/08/2020
Performance Modeling and Analysis of a Hyperledger-based System Using GSPN
As a highly scalable permissioned blockchain platform, Hyperledger Fabri...
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02/07/2020
Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning
This paper focuses on deep reinforcement learning (DRL)-based energy dis...
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01/30/2020
Towards Power-Efficient Aerial Communications via Dynamic Multi-UAV Cooperation
Aerial base stations (BSs) attached to unmanned aerial vehicles (UAVs) c...
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07/22/2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
The Internet of Things (IoT) extends the Internet connectivity into bill...
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06/19/2019
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing
By leveraging the concept of mobile edge computing (MEC), massive amount...
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04/17/2019
Patent Analytics Based on Feature Vector Space Model: A Case of IoT
The number of approved patents worldwide increases rapidly each year, wh...
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02/12/2019
An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications
In order to maximize detection precision rate as well as the recall rate...
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12/11/2017
A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
Non-orthogonal multiple access (NOMA) allows multiple users to simultane...
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12/02/2017