b'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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Hao Ye

Featured Co-authors

Liang Wang

Li Wang

Geoffrey Ye Li

Xiangyang Xue

Jing Yang

Yu-Gang Jiang

Feng Wang

Yao Lu

Zuxuan Wu

Hong Wang

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