Search Results for author: Yuchao Yang

Found 6 papers, 2 papers with code

Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition

no code implementations24 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.

EEG Electroencephalogram (EEG)

Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG

no code implementations1 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.

Data Augmentation EEG +1

SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images

2 code implementations4 Jul 2021 Mingbo Hong, Shuiwang Li, Yuchao Yang, Feiyu Zhu, Qijun Zhao, Li Lu

With the increasing demand for search and rescue, it is highly demanded to detect objects of interest in large-scale images captured by Unmanned Aerial Vehicles (UAVs), which is quite challenging due to extremely small scales of objects.

Human Detection

Coherent Integration for Targets with Constant Cartesian Velocities Based on Accurate Range Model

no code implementations19 Feb 2021 Gongjian Zhou, Zeyu Xu, Yuchao Yang

Long-time coherent integration (LTCI) is one of the most important techniques to improve radar detection performance of weak targets.

The 1st Tiny Object Detection Challenge:Methods and Results

1 code implementation16 Sep 2020 Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.

Human Detection object-detection +1

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