%0 Journal Article %1 journals/tcsv/ZengJDLHQ23 %A Zeng, Xianlin %A Jiang, Yalong %A Ding, Wenrui %A Li, Hongguang %A Hao, Yafeng %A Qiu, Zifeng %D 2023 %J IEEE Trans. Circuits Syst. Video Technol. %K dblp %N 1 %P 200-212 %T A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos. %U http://dblp.uni-trier.de/db/journals/tcsv/tcsv33.html#ZengJDLHQ23 %V 33

@article{journals/tcsv/ZengJDLHQ23, added-at = {2023-01-31T00:00:00.000+0100}, author = {Zeng, Xianlin and Jiang, Yalong and Ding, Wenrui and Li, Hongguang and Hao, Yafeng and Qiu, Zifeng}, biburl = {https://www.bibsonomy.org/bibtex/20c2087abd48c1d295f46344efb631460/dblp}, ee = {https://doi.org/10.1109/TCSVT.2021.3134410}, interhash = {8d99e4015f1f32f889a33739ee0610d9}, intrahash = {0c2087abd48c1d295f46344efb631460}, journal = {IEEE Trans. Circuits Syst. Video Technol.}, keywords = {dblp}, number = 1, pages = {200-212}, timestamp = {2024-04-08T19:05:47.000+0200}, title = {A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos.}, url = {http://dblp.uni-trier.de/db/journals/tcsv/tcsv33.html#ZengJDLHQ23}, volume = 33, year = 2023 }