Search Results for author: Hui Feng

Found 16 papers, 5 papers with code

Online Signed Sampling of Bandlimited Graph Signals

no code implementations16 Feb 2024 Wenwei Liu, Hui Feng, Feng Ji, Bo Hu

In this paper, we are interested in how to sample based on sign information in an online manner, by which the direction of the original graph signal can be estimated.

RGB-T Tracking via Multi-Modal Mutual Prompt Learning

1 code implementation31 Aug 2023 Yang Luo, Xiqing Guo, Hui Feng, Lei Ao

Object tracking based on the fusion of visible and thermal im-ages, known as RGB-T tracking, has gained increasing atten-tion from researchers in recent years.

Object Tracking Rgb-T Tracking

Sampling of Correlated Bandlimited Continuous Signals by Joint Time-vertex Graph Fourier Transform

no code implementations10 Oct 2022 Zhongyi Ni, Feng Ji, Hang Sheng, Hui Feng, Bo Hu

When sampling multiple signals, the correlation between the signals can be exploited to reduce the overall number of samples.

MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities

4 code implementations2 May 2022 Minghui Yang, Peng Wu, Jing Liu, Hui Feng

By comparing the similarities and differences between input samples and memory samples in the memory pool to give effective guesses about abnormal regions; In the inference phase, MemSeg directly determines the abnormal regions of the input image in an end-to-end manner.

Anomaly Detection Defect Detection +1

Recovery of Graph Signals from Sign Measurements

no code implementations26 Sep 2021 Wenwei Liu, Hui Feng, Kaixuan Wang, Feng Ji, Bo Hu

Sampling and interpolation have been extensively studied, in order to reconstruct or estimate the entire graph signal from the signal values on a subset of vertexes, of which most achievements are about continuous signals.

Regularized Recovery by Multi-order Partial Hypergraph Total Variation

1 code implementation19 Feb 2021 Ruyuan Qu, Jiaqi He, Hui Feng, Chongbin Xu, Bo Hu

In this work, we take this divergence into consideration, and propose a multi-order hypergraph Laplacian and the corresponding total variation.

SharpGAN: Receptive Field Block Net for Dynamic Scene Deblurring

no code implementations31 Dec 2020 Hui Feng, Jundong Guo, Sam Shuzhi Ge

In order to remove the motion blur in the images during the navigation of the smart ship, we propose SharpGAN, a new image deblurring method based on the generative adversarial network.

Deblurring Generative Adversarial Network +3

Sampling Policy Design for Tracking Time-Varying Graph Signals with Adaptive Budget Allocation

no code implementations14 Feb 2020 Xuan Xie, Hui Feng, Bo Hu

There have been many works that focus on the sampling set design for a static graph signal, but few for time-varying graph signals (GS).

On Critical Sampling of Time-Vertex Graph Signals

1 code implementation6 Sep 2019 Junhao Yu, Xuan Xie, Hui Feng, Bo Hu

This paper focuses on the fundamental problem of sampling and reconstruction of joint time-vertex graph signals.

OD-GCN: Object Detection Boosted by Knowledge GCN

no code implementations6 Aug 2019 Zheng Liu, Zidong Jiang, Wei Feng, Hui Feng

Classical CNN based object detection methods only extract the objects' image features, but do not consider the high-level relationship among objects in context.

Object object-detection +1

Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning

no code implementations9 May 2019 Xinyu You, Xuanjie Li, Yuedong Xu, Hui Feng, Jin Zhao, Huaicheng Yan

Packet routing is one of the fundamental problems in computer networks in which a router determines the next-hop of each packet in the queue to get it as quickly as possible to its destination.

Decision Making Q-Learning +2

Object Activity Scene Description, Construction and Recognition

no code implementations1 May 2018 Hui Feng, Shan-Shan Wang, Shuzhi Sam Ge

Although, the existing approaches are good at action recognition, it is a great challenge to recognize a group of actions in an activity scene.

Action Recognition General Classification +5

Traffic-Aware Transmission Mode Selection in D2D-enabled Cellular Networks with Token System

no code implementations2 Mar 2017 Yiling Yuan, Tao Yang, Hui Feng, Bo Hu, Jianqiu Zhang, Bin Wang, Qiyong Lu

We consider a D2D-enabled cellular network where user equipments (UEs) owned by rational users are incentivized to form D2D pairs using tokens.

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