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Federated Learning and Wireless Communications
Federated learning becomes increasingly attractive in the areas of wirel...
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Cascaded Detail-Preserving Networks for Super-Resolution of Document Images
The accuracy of OCR is usually affected by the quality of the input docu...
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Scene Text Recognition with Temporal Convolutional Encoder
Texts from scene images typically consist of several characters and exhi...
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Learn to Compress CSI and Allocate Resources in Vehicular Networks
Resource allocation has a direct and profound impact on the performance ...
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Learn to Allocate Resources in Vehicular Networks
Resource allocation has a direct and profound impact on the performance ...
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Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
It has been a long-held belief that judicious resource allocation is cri...
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Edge-Aware Deep Image Deblurring
Image deblurring is a fundamental and challenging low-level vision probl...
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Video Crowd Counting via Dynamic Temporal Modeling
Crowd counting aims to count the number of instantaneous people in a cro...
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Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning
This paper investigates the spectrum sharing problem in vehicular networ...
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Curve Text Detection with Local Segmentation Network and Curve Connection
Curve text or arbitrary shape text is very common in real-world scenario...
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Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel
In this article, we develop an end-to-end wireless communication system ...
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Adaptive Scenario Discovery for Crowd Counting
Crowd counting, i.e., estimation number of pedestrian in crowd images, i...
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Deep Learning in Physical Layer Communications
It has been demonstrated that deep learning (DL) has the great potential...
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Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN
In this article, we use deep neural networks (DNNs) to develop a wireles...
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Crowd Counting with Density Adaption Networks
Crowd counting is one of the core tasks in various surveillance applicat...
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Deep Reinforcement Learning based Resource Allocation for V2V Communications
In this paper, we develop a decentralized resource allocation mechanism ...
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Precise Temporal Action Localization by Evolving Temporal Proposals
Locating actions in long untrimmed videos has been a challenging problem...
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Towards Intelligent Vehicular Networks: A Machine Learning Framework
As wireless networks evolve towards high mobility and providing better s...
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Machine Learning for Vehicular Networks
The emerging vehicular networks are expected to make everyday vehicular ...
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Arbitrary-Oriented Scene Text Detection via Rotation Proposals
This paper introduces a novel rotation-based framework for arbitrary-ori...
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Evolving Boxes for Fast Vehicle Detection
We perform fast vehicle detection from traffic surveillance cameras. A n...
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Evaluating Two-Stream CNN for Video Classification
Videos contain very rich semantic information. Traditional hand-crafted ...
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Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification
Classifying videos according to content semantics is an important proble...
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