1 code implementation • ICCV 2023 • Tao Lv, Hao Ye, Quan Yuan, Zhan Shi, Yibo Wang, Shuming Wang, Xun Cao
We demonstrate a compact, cost-effective snapshot spectral imaging system named Aperture Diffraction Imaging Spectrometer (ADIS), which consists only of an imaging lens with an ultra-thin orthogonal aperture mask and a mosaic filter sensor, requiring no additional physical footprint compared to common RGB cameras.
no code implementations • 2 Oct 2022 • Xue Liu, Dan Sun, Xiaobo Cao, Hao Ye, Wei Wei
Graph embedding provides a feasible methodology to conduct pattern classification for graph-structured data by mapping each data into the vectorial space.
no code implementations • Information Sciences 2021 • Xingjiao Wu, Yingbin Zheng, Tianlong Ma, Hao Ye, Liang He
Layout analysis from a document image plays an important role in document content understanding and information extraction systems.
no code implementations • 11 May 2020 • Zhijin Qin, Geoffrey Ye Li, Hao Ye
In contrast to other machine learning tools that require no communication resources, federated learning exploits communications between the central server and the distributed local clients to train and optimize a machine learning model.
Information Theory Signal Processing Information Theory
no code implementations • 25 Nov 2019 • Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
The accuracy of OCR is usually affected by the quality of the input document image and different kinds of marred document images hamper the OCR results.
no code implementations • 4 Nov 2019 • Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He
In this paper, we study text recognition framework by considering the long-term temporal dependencies in the encoder stage.
no code implementations • 12 Aug 2019 • Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li
The centralized decision unit employs a deep Q-network to allocate resources and then sends the decision results to all vehicles.
no code implementations • 30 Jul 2019 • Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li
Meanwhile, there exists an optimal number of continuous feedback and binary feedback, respectively.
no code implementations • 7 Jul 2019 • Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li
The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve the problem to a certain level of optimality.
no code implementations • 4 Jul 2019 • Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
Crowd counting aims to count the number of instantaneous people in a crowded space, and many promising solutions have been proposed for single image crowd counting.
no code implementations • 4 Jul 2019 • Zhichao Fu, Tianlong Ma, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
In this paper, we resort to human visual demands of sharp edges and propose a two-phase edge-aware deep network to improve deep image deblurring.
1 code implementation • 8 May 2019 • Le Liang, Hao Ye, Geoffrey Ye Li
This paper investigates the spectrum sharing problem in vehicular networks based on multi-agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the frequency spectrum preoccupied by vehicle-to-infrastructure (V2I) links.
Information Theory Information Theory
no code implementations • 23 Mar 2019 • Zhao Zhou, Hao Ye, Luhui Chen, Yingbin Zheng
Curve text or arbitrary shape text is very common in real-world scenarios.
no code implementations • 6 Mar 2019 • Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang
We propose to use a conditional generative adversarial net (GAN) to represent channel effects and to bridge the transmitter DNN and the receiver DNN so that the gradient of the transmitter DNN can be back-propagated from the receiver DNN.
Information Theory Information Theory
1 code implementation • 6 Dec 2018 • Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
Crowd counting, i. e., estimation number of the pedestrian in crowd images, is emerging as an important research problem with the public security applications.
no code implementations • 2 Jul 2018 • Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan
In this article, we use deep neural networks (DNNs) to develop a wireless end-to-end communication system, in which DNNs are employed for all signal-related functionalities, such as encoding, decoding, modulation, and equalization.
Information Theory Information Theory
no code implementations • 26 Jun 2018 • Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng
Crowd counting is one of the core tasks in various surveillance applications.
no code implementations • 13 Apr 2018 • Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He
The performances of existing action localization approaches remain unsatisfactory in precisely determining the beginning and the end of an action.
no code implementations • 1 Apr 2018 • Le Liang, Hao Ye, Geoffrey Ye Li
As wireless networks evolve towards high mobility and providing better support for connected vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular environments and thus motive rethinking of traditional wireless design methodologies.
7 code implementations • 15 Aug 2017 • Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua
Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions.
4 code implementations • 3 Mar 2017 • Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, xiangyang xue
This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.
no code implementations • 1 Feb 2017 • Li Wang, Yao Lu, Hong Wang, Yingbin Zheng, Hao Ye, xiangyang xue
We perform fast vehicle detection from traffic surveillance cameras.
no code implementations • 21 Sep 2015 • Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, xiangyang xue, Jun Wang
A multi-stream framework is proposed to fully utilize the rich multimodal information in videos.
no code implementations • 8 Apr 2015 • Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, xiangyang xue
In this paper, we conduct an in-depth study to investigate important implementation options that may affect the performance of deep nets on video classification.
1 code implementation • 7 Apr 2015 • Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, xiangyang xue
In this paper, we propose a hybrid deep learning framework for video classification, which is able to model static spatial information, short-term motion, as well as long-term temporal clues in the videos.