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Yuxuan Zhou
Yuxuan Zhou
Verified email at mail.uni-mannheim.de
Title
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Cited by
Year
Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features
R Schirrmeister, Y Zhou, T Ball, D Zhang
Advances in Neural Information Processing Systems 33, 21038-21049, 2020
782020
Hypergraph Transformer for Skeleton-based Action Recognition
Y Zhou, ZQ Cheng, C Li, Y Geng, X Xie, M Keuper
arXiv preprint arXiv:2211.09590, 2022
262022
Language Supervised Training for Skeleton-based Action Recognition
W Xiang, C Li, Y Zhou, B Wang, L Zhang
arXiv preprint arXiv:2208.05318, 2022
202022
Generative Action Description Prompts for Skeleton-based Action Recognition
W Xiang, C Li, Y Zhou, B Wang, L Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
72023
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness
Y Zhou, ZQ Cheng, JY He, B Luo, Y Geng, X Xie
arXiv preprint arXiv:2305.11468, 2023
62023
Sp-vit: Learning 2d spatial priors for vision transformers
Y Zhou, W Xiang, C Li, B Wang, X Wei, L Zhang, M Keuper, X Hua
33rd British Machine Vision Conference. BMVA Press, 2022., 2022
52022
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
K Prasse, S Jung, Y Zhou, M Keuper
DAGM German Conference on Pattern Recognition (GCPR), 2023, 2023
2023
Device and method for anomaly detection
D Zhang, RT Schirrmeister, Y Zhou
US Patent App. 17/181,473, 2021
2021
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
R Tibor Schirrmeister, Y Zhou, T Ball, D Zhang
arXiv e-prints, arXiv: 2006.10848, 2020
2020
Generative Action Description Prompts for Skeleton-based Action Recognition-Supplementary Material
W Xiang, C Li, Y Zhou, B Wang, L Zhang
Supplementary Material Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
RT Schirrmeister, Y Zhou, T Ball, D Zhang
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