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10/02/2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Graph embedding provides a feasible methodology to conduct pattern class...
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08/05/2021
Decentralized Federated Learning with Unreliable Communications
Decentralized federated learning, inherited from decentralized learning,...
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05/11/2020
Federated Learning and Wireless Communications
Federated learning becomes increasingly attractive in the areas of wirel...
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11/25/2019
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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11/04/2019
Scene Text Recognition with Temporal Convolutional Encoder
Texts from scene images typically consist of several characters and exhi...
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08/12/2019
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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07/30/2019
Learn to Allocate Resources in Vehicular Networks
Resource allocation has a direct and profound impact on the performance ...
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07/07/2019
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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07/04/2019
Edge-Aware Deep Image Deblurring
Image deblurring is a fundamental and challenging low-level vision probl...
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07/04/2019
Video Crowd Counting via Dynamic Temporal Modeling
Crowd counting aims to count the number of instantaneous people in a cro...
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05/08/2019
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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03/23/2019
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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03/06/2019
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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12/06/2018
Adaptive Scenario Discovery for Crowd Counting
Crowd counting, i.e., estimation number of pedestrian in crowd images, i...
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07/31/2018
Deep Learning in Physical Layer Communications
It has been demonstrated that deep learning (DL) has the great potential...
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07/02/2018
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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06/26/2018
Crowd Counting with Density Adaption Networks
Crowd counting is one of the core tasks in various surveillance applicat...
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05/16/2018
Deep Reinforcement Learning based Resource Allocation for V2V Communications
In this paper, we develop a decentralized resource allocation mechanism ...
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04/13/2018
Precise Temporal Action Localization by Evolving Temporal Proposals
Locating actions in long untrimmed videos has been a challenging problem...
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04/01/2018
Towards Intelligent Vehicular Networks: A Machine Learning Framework
As wireless networks evolve towards high mobility and providing better s...
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12/19/2017
Machine Learning for Vehicular Networks
The emerging vehicular networks are expected to make everyday vehicular ...
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03/03/2017
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
This paper introduces a novel rotation-based framework for arbitrary-ori...
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02/01/2017
Evolving Boxes for Fast Vehicle Detection
We perform fast vehicle detection from traffic surveillance cameras. A n...
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04/08/2015
Evaluating Two-Stream CNN for Video Classification
Videos contain very rich semantic information. Traditional hand-crafted ...
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04/07/2015