Multi-scale motion contrastive learning for self-supervised skeleton-based action recognition von Wu, Yushan, Xu, Zengmin, Yuan, Mengwei, Tang, Tianchi, Meng, Ruxing, Wang, Zhongyuan

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Action Recognition via Adaptive Semi-Supervised Feature Analysis von Xu, Zengmin, Li, Xiangli, Li, Jiaofen, Chen, Huafeng, Hu, Ruimin

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Action recognition by saliency-based dense sampling von Xu, Zengmin, Hu, Ruimin, Chen, Jun, Chen, Chen, Chen, Huafeng, Li, Hongyang, Sun, Qingquan

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Semisupervised Discriminant Multimanifold Analysis for Action Recognition von Xu, Zengmin, Hu, Ruimin, Chen, Jun, Chen, Chen, Jiang, Junjun, Li, Jiaofen, Li, Hongyang

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Semisupervised action recognition with adaptive correlation learning von Wang, Fan, Xu, Zengmin, Chen, Jiakun, Hu, Ruimin

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Real‐time action feature extraction via fast PCA‐Flow von Chen, Huafeng, Li, Hongyang, Xu, Zengmin, Zhao, Yunhong, He, Tigang

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Self-supervised Action Recognition Based on Skeleton Data Augmentation and Double Nearest Neighbor Retrieval von Wu, Yushan, Xu, Zengmin, Zhang, Xuelian, Wang, Tao

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Compressed-Domain Based Camera Motion Estimation for Realtime Action Recognition von Chen, Huafeng, Chen, Jun, Li, Hongyang, Xu, Zengmin, Hu, Ruimin

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Action Recognition Using Visual Attention with Reinforcement Learning von Li, Hongyang, Chen, Jun, Hu, Ruimin, Yu, Mei, Chen, Huafeng, Xu, Zengmin

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Global Contrast Based Salient Region Boundary Sampling for Action Recognition von Xu, Zengmin, Hu, Ruimin, Chen, Jun, Chen, Huafeng, Li, Hongyang

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Perlin Noise Improve Adversarial Robustness von Tang, Chengjun, Zhang, Kun, Xing, Chunfang, Ding, Yong, Xu, Zengmin

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AgsNet: An Attention-Guided Lightweight Segmentation Network von Li, Minghui, Xu, Zengmin, Zhang, Yichuan, Wei, Lingli, Zhou, Ningjie, Cui, Yanan

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Perlin Noise Improve Adversarial Robustness von Tang, Chengjun, Zhang, Kun, Xing, Chunfang, Ding, Yong, Xu, Zengmin

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Canoe fixing support for automobile von ZHANG XIAOYAN, ZHENG SHUAI, XU ZENGMIN

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Transplanting transport vehicle device for garden trees von ZHANG XIAOYAN, ZHENG YAN, ZHENG SHUAI, XU ZENGMIN

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Convolutional network feature learning method based on graph data model von WANG FAN, MENG RUXING, XU ZENGMIN

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Self-adaptive correlation semi-supervised learning method based on graph convolution von WANG FAN, MENG RUXING, XU ZENGMIN

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High-stability canoeing pendant von XU ZENGMIN, ZHENG GANG

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Canoe pendant with high safety von XU ZENGMIN, ZHENG GANG

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Self-supervised action recognition method based on cross-modal time sequence contrast learning von MENG RUXING, XU ZENGMIN, WANG LULU

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