no code implementations • 15 Dec 2023 • Chenxi Bao, Di Zhou, Min Sheng, Yan Shi, Jiandong Li
Breaking the barriers of independence of resources in each domain, and realizing the cross-domain transmission of missions to efficiently collaborate inter-domain resources is a promising solution.
no code implementations • 24 Nov 2023 • Xiuxin Xia, Yuchen Guo, Yanwei Wang, Yuchao Yang, Yan Shi, Hong Men
Secondly, a complementary multimodal data mining strategy is proposed to effectively mine the common features of multimodal data representing odor information and the individual features in olfactory EEG representing individual emotional information.
no code implementations • 1 Jul 2023 • Xiuxin Xia, Yuchao Yang, Yan Shi, Wenbo Zheng, Hong Men
Secondly, to avoid insufficient training of the model due to the small number of taste EEG samples, a Temporal and Spatial Reconstruction Data Augmentation (TSRDA) method was proposed, which effectively augmented the taste EEG by reconstructing the taste EEG's important features in temporal and spatial dimensions.
no code implementations • 13 Jun 2023 • Yan Shi, Yao Tian, Chengwei Tong, Chunyan Zhu, Qianqian Li, Mengzhu Zhang, Wei Zhao, Yong Liao, Pengyuan Zhou
Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears.
no code implementations • 12 Dec 2022 • Jingbo Zhao, Benny Thörnberg, Yan Shi, Ashkan Hashemi
Its primary application is demonstrated in color segmentation on FPGA in the form of efficient classification using color as a feature.
no code implementations • CVPR 2022 • Yan Shi, Jun-Xiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, Kai Zhang
Graph Neural Networks (GNNs) with attention have been successfully applied for learning visual feature matching.
no code implementations • 7 Oct 2021 • Ce Zhou, Qiben Yan, Yan Shi, Lichao Sun
By exploiting the weaknesses of the stereo matching in depth estimation algorithms and the lens flare effect in optical imaging, we propose DoubleStar, a long-range attack that injects fake obstacle depth by projecting pure light from two complementary light sources.
1 code implementation • 25 Jun 2020 • Shuyue Jia, Yimin Hou, Yan Shi, Yang Li
In previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes.
1 code implementation • 16 Jun 2020 • Yimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi, Yang Li, Rui Zeng, Jinglei Lv
To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.
no code implementations • 4 Jun 2019 • Yan Shi, Dezhi Feng, Subir Biswas
This paper presents a deep-learning based traffic classification method for identifying multiple streaming video sources at the same time within an encrypted tunnel.