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Shengyu Pei's Projects

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Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

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数据分析、科学计算、人工智能知识、思维导图及练习代码

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AI人工智能课设。集成了GA,ACO,PSO三种路径规划算法,并通过GUI进行交互操作,最终通过可视化进行分析

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The 2nd place submission for AICity Challenge 2020 ReID track, VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera

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The official code of "Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark"

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This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

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resources for graph convolutional networks (图卷积神经网络相关资源)

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A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

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Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

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Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

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