no code implementations • 29 Feb 2024 • Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang
In this paper, we introduce a Brain-inspired and Self-based Artificial Intelligence (BriSe AI) paradigm.
no code implementations • 16 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.
1 code implementation • 31 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.
Ranked #1 on Rgb-T Tracking on LasHeR
no code implementations • 10 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.
4 code implementations • 2 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.
Ranked #12 on Anomaly Detection on MVTec AD
no code implementations • 26 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.
1 code implementation • 19 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.
no code implementations • 31 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.
no code implementations • 20 Oct 2020 • Feng Ji, Hui Feng, Hang Sheng, Wee Peng Tay
A continuous-time graph signal can be viewed as a time series of graph signals.
no code implementations • 14 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).
1 code implementation • 6 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.
no code implementations • 6 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.
no code implementations • 9 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.
1 code implementation • 12 Aug 2018 • Hui Feng, Shan-Shan Wang, Shuzhi Sam Ge
Computer vision based fine-grained recognition has received great attention in recent years.
no code implementations • 1 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.
no code implementations • 2 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.