Ning Dong 0001, Einoshin Suzuki. GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. In Duc Nghia Pham, Thanaruk Theeramunkong, Guido Governatori, Fenrong Liu, editors, PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part II. Volume 13032 of Lecture Notes in Computer Science, pages 418-432, Springer, 2021. [doi]
@inproceedings{DongS21-2,
title = {GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring},
author = {Ning Dong 0001 and Einoshin Suzuki},
year = {2021},
doi = {10.1007/978-3-030-89363-7_32},
url = {https://doi.org/10.1007/978-3-030-89363-7_32},
researchr = {https://researchr.org/publication/DongS21-2},
cites = {0},
citedby = {0},
pages = {418-432},
booktitle = {PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part II},
editor = {Duc Nghia Pham and Thanaruk Theeramunkong and Guido Governatori and Fenrong Liu},
volume = {13032},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-89363-7},
}