Hao Ye

Federated Learning and Wireless Communications

Federated learning becomes increasingly attractive in the areas of wirel...
05/11/2020 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
11/25/2019 ∙ by Zhichao Fu, et al. ∙ 17 ∙ share

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Scene Text Recognition with Temporal Convolutional Encoder

Texts from scene images typically consist of several characters and exhi...
11/04/2019 ∙ by Xiangcheng Du, et al. ∙ 0 ∙ share

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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 ...
08/12/2019 ∙ by Liang Wang, et al. ∙ 0 ∙ share

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Learn to Allocate Resources in Vehicular Networks

Resource allocation has a direct and profound impact on the performance ...
07/30/2019 ∙ by Liang Wang, et al. ∙ 0 ∙ share

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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...
07/07/2019 ∙ by Le Liang, et al. ∙ 0 ∙ share

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Edge-Aware Deep Image Deblurring

Image deblurring is a fundamental and challenging low-level vision probl...
07/04/2019 ∙ by Zhichao Fu, et al. ∙ 2 ∙ share

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Video Crowd Counting via Dynamic Temporal Modeling

Crowd counting aims to count the number of instantaneous people in a cro...
07/04/2019 ∙ by Xingjiao Wu, et al. ∙ 3 ∙ share

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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...
05/08/2019 ∙ by Le Liang, et al. ∙ 0 ∙ share

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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...
03/23/2019 ∙ by Zhao Zhou, et al. ∙ 0 ∙ share

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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 ...
03/06/2019 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Adaptive Scenario Discovery for Crowd Counting

Crowd counting, i.e., estimation number of pedestrian in crowd images, i...
12/06/2018 ∙ by Xingjiao Wu, et al. ∙ 0 ∙ share

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Deep Learning in Physical Layer Communications

It has been demonstrated that deep learning (DL) has the great potential...
07/31/2018 ∙ by Zhijin Qin, et al. ∙ 0 ∙ share

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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...
07/02/2018 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Crowd Counting with Density Adaption Networks

Crowd counting is one of the core tasks in various surveillance applicat...
06/26/2018 ∙ by Li Wang, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning based Resource Allocation for V2V Communications

In this paper, we develop a decentralized resource allocation mechanism ...
05/16/2018 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Precise Temporal Action Localization by Evolving Temporal Proposals

Locating actions in long untrimmed videos has been a challenging problem...
04/13/2018 ∙ by Haonan Qiu, et al. ∙ 0 ∙ share

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Towards Intelligent Vehicular Networks: A Machine Learning Framework

As wireless networks evolve towards high mobility and providing better s...
04/01/2018 ∙ by Le Liang, et al. ∙ 0 ∙ share

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Machine Learning for Vehicular Networks

The emerging vehicular networks are expected to make everyday vehicular ...
12/19/2017 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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Arbitrary-Oriented Scene Text Detection via Rotation Proposals

This paper introduces a novel rotation-based framework for arbitrary-ori...
03/03/2017 ∙ by Jianqi Ma, et al. ∙ 0 ∙ share

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Evolving Boxes for Fast Vehicle Detection

We perform fast vehicle detection from traffic surveillance cameras. A n...
02/01/2017 ∙ by Li Wang, et al. ∙ 0 ∙ share

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Evaluating Two-Stream CNN for Video Classification

Videos contain very rich semantic information. Traditional hand-crafted ...
04/08/2015 ∙ by Hao Ye, et al. ∙ 0 ∙ share

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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...
04/07/2015 ∙ by Zuxuan Wu, et al. ∙ 0 ∙ share

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Hao Ye

Featured Co-authors

Liang Wang

Li Wang

Geoffrey Ye Li

Xiangyang Xue

Jing Yang

Yu-Gang Jiang

Feng Wang

Yao Lu

Hong Wang

Zuxuan Wu

Liang He

Federated Learning and Wireless Communications

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

Scene Text Recognition with Temporal Convolutional Encoder

Learn to Compress CSI and Allocate Resources in Vehicular Networks

Learn to Allocate Resources in Vehicular Networks

Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

Edge-Aware Deep Image Deblurring

Video Crowd Counting via Dynamic Temporal Modeling

Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning

Curve Text Detection with Local Segmentation Network and Curve Connection

Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel

Adaptive Scenario Discovery for Crowd Counting

Deep Learning in Physical Layer Communications

Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN

Crowd Counting with Density Adaption Networks

Deep Reinforcement Learning based Resource Allocation for V2V Communications

Precise Temporal Action Localization by Evolving Temporal Proposals

Towards Intelligent Vehicular Networks: A Machine Learning Framework

Machine Learning for Vehicular Networks

Arbitrary-Oriented Scene Text Detection via Rotation Proposals

Evolving Boxes for Fast Vehicle Detection

Evaluating Two-Stream CNN for Video Classification

Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification