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A survey on face detection in the wild: Past, present and future
Zafeiriou, Stefanos, Zhang, Cha, Zhang, Zhengyou
Published in Computer vision and image understanding (01.09.2015)
Published in Computer vision and image understanding (01.09.2015)
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Optical flow modeling and computation: A survey
Fortun, Denis, Bouthemy, Patrick, Kervrann, Charles
Published in Computer vision and image understanding (01.05.2015)
Published in Computer vision and image understanding (01.05.2015)
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Fake face detection via adaptive manipulation traces extraction network
Guo, Zhiqing, Yang, Gaobo, Chen, Jiyou, Sun, Xingming
Published in Computer vision and image understanding (01.03.2021)
Published in Computer vision and image understanding (01.03.2021)
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Human skeletons and change detection for efficient violence detection in surveillance videos
Garcia-Cobo, Guillermo, SanMiguel, Juan C.
Published in Computer vision and image understanding (01.08.2023)
Published in Computer vision and image understanding (01.08.2023)
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Uncertainty-aware consistency regularization for cross-domain semantic segmentation
Zhou, Qianyu, Feng, Zhengyang, Gu, Qiqi, Cheng, Guangliang, Lu, Xuequan, Shi, Jianping, Ma, Lizhuang
Published in Computer vision and image understanding (01.08.2022)
Published in Computer vision and image understanding (01.08.2022)
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SSMTL plus plus : Revisiting self-supervised multi-task learning for video anomaly detection
Barbalau, Antonio, Ionescu, Radu Tudor, Georgescu, Mariana-Iuliana, Dueholm, Jacob, Ramachandra, Bharathkumar, Nasrollahi, Kamal, Khan, Fahad, Moeslund, Thomas B., Shah, Mubarak
Published in Computer vision and image understanding (01.03.2023)
Published in Computer vision and image understanding (01.03.2023)
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SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection
Zhou, Huayi, Jiang, Fei, Lu, Hongtao
Published in Computer vision and image understanding (01.03.2023)
Published in Computer vision and image understanding (01.03.2023)
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A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos
Sobral, Andrews, Vacavant, Antoine
Published in Computer vision and image understanding (01.05.2014)
Published in Computer vision and image understanding (01.05.2014)
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Weakly supervised learning of actions from transcripts
Kuehne, Hilde, Richard, Alexander, Gall, Juergen
Published in Computer vision and image understanding (01.10.2017)
Published in Computer vision and image understanding (01.10.2017)
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Computer vision for assistive technologies
Leo, M., Medioni, G., Trivedi, M., Kanade, T., Farinella, G.M.
Published in Computer vision and image understanding (01.01.2017)
Published in Computer vision and image understanding (01.01.2017)
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Haze visibility enhancement: A Survey and quantitative benchmarking
Li, Yu, You, Shaodi, Brown, Michael S., Tan, Robby T.
Published in Computer vision and image understanding (01.12.2017)
Published in Computer vision and image understanding (01.12.2017)
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Single-image deblurring with neural networks: A comparative survey
Koh, Jaihyun, Lee, Jangho, Yoon, Sungroh
Published in Computer vision and image understanding (01.02.2021)
Published in Computer vision and image understanding (01.02.2021)
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ASSD: Attentive single shot multibox detector
Yi, Jingru, Wu, Pengxiang, Metaxas, Dimitris N.
Published in Computer vision and image understanding (01.12.2019)
Published in Computer vision and image understanding (01.12.2019)
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Predicting the future from first person (egocentric) vision: A survey
Rodin, Ivan, Furnari, Antonino, Mavroeidis, Dimitrios, Farinella, Giovanni Maria
Published in Computer vision and image understanding (01.10.2021)
Published in Computer vision and image understanding (01.10.2021)
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BasicTAD: An astounding RGB-Only baseline for temporal action detection
Yang, Min, Chen, Guo, Zheng, Yin-Dong, Lu, Tong, Wang, Limin
Published in Computer vision and image understanding (01.07.2023)
Published in Computer vision and image understanding (01.07.2023)
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