A New Kind of Hybrid Filter Based on the Peak-and-Valley Filter and PCNN. - Yun Liu 007; Xiangguang Zhang; Chuanxu Wang (SNPD (3), 2007)

Filter Design Based on the Theory of the Generalized Morphological Filter with Omnidirectional Structuring Element. - Xiangguang Zhang; Yun Liu 007; Chuanxu Wang (SNPD (3), 2007)

An Improved Algorithm of Human Skin Detection in Video Image Based on Linear Combination of 2-order Markov and Wiener Predictor. - Yun Liu 007; Chuanxu Wang (ISCSCT (2), 2008)

Algorithm Research of Face Image Gender Classification Based on 2-D Gabor Wavelet Transform and SVM. - Chuanxu Wang; Yun Liu 007; Zuoyong Li (ISCSCT (1), 2008)

A Window-Based Adaptive Correspondence Search Algorithm Using Mean Shift and Disparity Estimation. - Shujun Zhang; Jianbo Zhang; Yun Liu 007 (Int. J. Virtual Real., 2011)

Pedestrian detection algorithm based on video sequences and laser point cloud. - Hui Li 010; Yun Liu 007; Shengwu Xiong 001; Lin Wang 019 (Frontiers Comput. Sci., 2015)

Tracking Algorithm of Multiple Pedestrians Based on Particle Filters in Video Sequences. - Hui Li 010; Yun Liu 007; Chuanxu Wang; Shujun Zhang; Xuehong Cui (Comput. Intell. Neurosci., 2016)

Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding. - Yan Zhang 037; Xuehong Cui; Yun Liu 007; Bin Yu 007 (Int. J. Comput. Intell. Syst., 2018)

Tire Defects Classification with Multi-Contrast Convolutional Neural Networks. - Xuehong Cui; Yun Liu 007; Yan Zhang 037; Chuanxu Wang (Int. J. Pattern Recognit. Artif. Intell., 2018)

A Novel Method for Temporal Action Localization and Recognition in Untrimmed Video Based on Time Series Segmentation. - Jichao Liu; Chuanxu Wang; Yun Liu 007 (IEEE Access, 2019)

EGAT: Extended Graph Attention Network for Pedestrian Trajectory Prediction. - Wei Kong; Yun Liu 007; Hui Li 010; Chuanxu Wang (Comput. Intell. Neurosci., 2021)

RGB-D Human Action Recognition of Deep Feature Enhancement and Fusion Using Two-Stream ConvNet. - Yun Liu 007; Ruidi Ma; Hui Li 010; Chuanxu Wang; Ye Tao 002 (J. Sensors, 2021)

GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network. - Wei Kong; Yun Liu 007; Hui Li 010; Chuanxu Wang; Ye Tao 002; Xiangzhen Kong (Pattern Recognit. Lett., 2022)