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

Nov 25, 2019
Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He


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Scene Text Recognition with Temporal Convolutional Encoder

Nov 04, 2019
Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He


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Learn to Compress CSI and Allocate Resources in Vehicular Networks

Aug 12, 2019
Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li

* arXiv admin note: text overlap with arXiv:1908.03447 

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Learn to Allocate Resources in Vehicular Networks

Jul 30, 2019
Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li


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Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks

Jul 07, 2019
Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li

* 13 pages; 8 figures; 3 tables; submitted to IEEE journals for possbile publication 

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Edge-Aware Deep Image Deblurring

Jul 04, 2019
Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He


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Video Crowd Counting via Dynamic Temporal Modeling

Jul 04, 2019
Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

* 9 pages, 8 figures 

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Curve Text Detection with Local Segmentation Network and Curve Connection

Mar 23, 2019
Zhao Zhou, Shufan Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Luhui Chen, Jian Pu


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Adaptive Scenario Discovery for Crowd Counting

Dec 06, 2018
Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He


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Towards Intelligent Vehicular Networks: A Machine Learning Framework

Sep 28, 2018
Le Liang, Hao Ye, Geoffrey Ye Li

* Accepted by IEEE Internet of Things Journal 

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Crowd Counting with Density Adaption Networks

Jun 26, 2018
Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng


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Precise Temporal Action Localization by Evolving Temporal Proposals

Apr 13, 2018
Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He

* ACM International Conference on Multimedia Retrieval (ICMR), 2018, pp. 388-396 

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Arbitrary-Oriented Scene Text Detection via Rotation Proposals

Mar 15, 2018
Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, Xiangyang Xue

* IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 3111-3122, 2018 
* Code is available at: https://github.com/mjq11302010044/RRPN 

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Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Aug 15, 2017
Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua

* 7 pages, 5 figures 

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Evolving Boxes for Fast Vehicle Detection

Mar 29, 2017
Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, Xiangyang Xue

* IEEE International Conference on Multimedia and Expo (ICME), 2017, pp. 1135-1140 

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Fusing Multi-Stream Deep Networks for Video Classification

Nov 11, 2015
Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang


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Evaluating Two-Stream CNN for Video Classification

Apr 08, 2015
Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue

* ACM ICMR'15 

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

Apr 07, 2015
Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue


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