基本信息
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个人简介
His research interests span across the areas of computer vision, anomaly detection and deep learning for semantic, geometric scene understanding and natural language processing. His work includes generalised high-impact GANomaly anomaly detection approach, which is now part of the Intel OpenVINO/GETI AI product line and has been mentioned in around 40 international patents as the underpinning anomaly detection approach in industrial monitoring/sensing solutions. Amir has Co-organised the highly prized CVPR-NAS workshop (2021-2024) with a strong competition element as well as workshops at IEEE BigData (BDA4CID and BDA4HM 2017-2023).
研究兴趣
论文共 52 篇作者统计合作学者相似作者
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IEEE TRANSACTIONS ON MULTIMEDIAno. 99 (2024): 7649-7660
IEEE ACCESSno. 99 (2024): 62975-62985
ASONAM '23 Proceedings of the International Conference on Advances in Social Networks Analysis and Miningpp.371-378, (2024)
CVPR 2024 (2024)
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CoRR (2022)
International Conference on Machine Learning (2022): 1874-1892
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12
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作者统计
#Papers: 51
#Citation: 3317
H-Index: 19
G-Index: 38
Sociability: 4
Diversity: 2
Activity: 6
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