OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Self-supervised Sparse Representation for Video Anomaly Detection
Jhih-Ciang Wu, He‐Yen Hsieh, Ding-Jie Chen, et al.
Lecture notes in computer science (2022), pp. 729-745
Closed Access | Times Cited: 54
Jhih-Ciang Wu, He‐Yen Hsieh, Ding-Jie Chen, et al.
Lecture notes in computer science (2022), pp. 729-745
Closed Access | Times Cited: 54
Showing 1-25 of 54 citing articles:
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
Yujiang Pu, Xiaoyu Wu, Lulu Yang, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 4923-4936
Closed Access | Times Cited: 18
Yujiang Pu, Xiaoyu Wu, Lulu Yang, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 4923-4936
Closed Access | Times Cited: 18
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
MyeongAh Cho, Minjung Kim, Sangwon Hwang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 24
MyeongAh Cho, Minjung Kim, Sangwon Hwang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 24
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 6779-6788
Open Access | Times Cited: 14
Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 6779-6788
Open Access | Times Cited: 14
Real-Time Weakly Supervised Video Anomaly Detection
Hamza Karim, Keval Doshi, Yasin Yılmaz
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Closed Access | Times Cited: 11
Hamza Karim, Keval Doshi, Yasin Yılmaz
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Closed Access | Times Cited: 11
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Nicolae-Cătălin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15984-15995
Closed Access | Times Cited: 11
Nicolae-Cătălin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 15984-15995
Closed Access | Times Cited: 11
Weakly-Supervised Video Anomaly Detection With Snippet Anomalous Attention
Yidan Fan, Yongxin Yu, Wenhuan Lu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 5480-5492
Open Access | Times Cited: 9
Yidan Fan, Yongxin Yu, Wenhuan Lu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 5480-5492
Open Access | Times Cited: 9
BatchNorm-based Weakly Supervised Video Anomaly Detection
Yixuan Zhou, Yi Qu, Xing Xu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 12, pp. 13642-13654
Open Access | Times Cited: 9
Yixuan Zhou, Yi Qu, Xing Xu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 12, pp. 13642-13654
Open Access | Times Cited: 9
Understanding Policy and Technical Aspects of AI-enabled Smart Video Surveillance to Address Public Safety
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, et al.
Computational Urban Science (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 15
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, et al.
Computational Urban Science (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 15
Delving into CLIP latent space for Video Anomaly Recognition
Luca Zanella, Benedetta Liberatori, Willi Menapace, et al.
Computer Vision and Image Understanding (2024), pp. 104163-104163
Closed Access | Times Cited: 6
Luca Zanella, Benedetta Liberatori, Willi Menapace, et al.
Computer Vision and Image Understanding (2024), pp. 104163-104163
Closed Access | Times Cited: 6
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, et al.
Lecture notes in computer science (2024), pp. 304-322
Closed Access | Times Cited: 5
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, et al.
Lecture notes in computer science (2024), pp. 304-322
Closed Access | Times Cited: 5
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Xincheng Yao, Ruoqi Li, Zefeng Qian, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 12
Xincheng Yao, Ruoqi Li, Zefeng Qian, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 12
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 2, pp. 12416-12425
Closed Access | Times Cited: 4
Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 2, pp. 12416-12425
Closed Access | Times Cited: 4
Explainable Action-Recognition Based Approach for Unsupervised Video Anomaly Detection
Hui Yang, Mostepha Khouadjia, Nacéra Bennacer Seghouani, et al.
Lecture notes in computer science (2025), pp. 182-195
Closed Access
Hui Yang, Mostepha Khouadjia, Nacéra Bennacer Seghouani, et al.
Lecture notes in computer science (2025), pp. 182-195
Closed Access
Enhancing Campus Surveillance Using Temporal Self Attention
Sarthak Mishra, Suraiya Jabin
(2025)
Closed Access
Sarthak Mishra, Suraiya Jabin
(2025)
Closed Access
ECD: Event-Centric Disentangler for Weakly Supervised Video Anomaly Detection
Yi Qu, Yixuan Zhou, Guofeng Yi
Communications in computer and information science (2025), pp. 195-206
Closed Access
Yi Qu, Yixuan Zhou, Guofeng Yi
Communications in computer and information science (2025), pp. 195-206
Closed Access
RelVid: Relational Learning with Vision-Language Models for Weakly Video Anomaly Detection
Jingxin Wang, Guohan Li, Jiaqi Liu, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2037-2037
Open Access
Jingxin Wang, Guohan Li, Jiaqi Liu, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2037-2037
Open Access
Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance
Erkan Şengönül, Refik Samet, Qasem Abu Al‐Haija, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Erkan Şengönül, Refik Samet, Qasem Abu Al‐Haija, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Tensor deep-anomaly: robust tensor classifier for video anomaly detection in surveillance videos
Alaa El Ichi, Wissam Kaddah, Marwa El Bouz, et al.
Multimedia Tools and Applications (2025)
Closed Access
Alaa El Ichi, Wissam Kaddah, Marwa El Bouz, et al.
Multimedia Tools and Applications (2025)
Closed Access
Weakly-Supervised Video Anomaly Detection Using Modified Anomaly Score Module and Modified BERT
J. Chen, Jin-Jang Leou
Communications in computer and information science (2025), pp. 203-215
Closed Access
J. Chen, Jin-Jang Leou
Communications in computer and information science (2025), pp. 203-215
Closed Access
Quantile-Based Maximum Likelihood Training for Outlier Detection
Masoud Taghikhah, Nishant Kumar, Siniša Šegvić, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21610-21618
Open Access | Times Cited: 3
Masoud Taghikhah, Nishant Kumar, Siniša Šegvić, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21610-21618
Open Access | Times Cited: 3
Harnessing Large Language Models for Training-Free Video Anomaly Detection
Luca Zanella, Willi Menapace, Massimiliano Mancini, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 18527-18536
Closed Access | Times Cited: 3
Luca Zanella, Willi Menapace, Massimiliano Mancini, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 18527-18536
Closed Access | Times Cited: 3
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 13552-13563
Open Access | Times Cited: 8
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 13552-13563
Open Access | Times Cited: 8
Person Fall Detection Using Weakly Supervised Methods
Kjartan Madsen, Zenjie Li, François Lauze, et al.
(2024), pp. 154-162
Closed Access | Times Cited: 2
Kjartan Madsen, Zenjie Li, François Lauze, et al.
(2024), pp. 154-162
Closed Access | Times Cited: 2
A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection
Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar
(2024), pp. 132-142
Closed Access | Times Cited: 2
Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar
(2024), pp. 132-142
Closed Access | Times Cited: 2
Error Detection in Egocentric Procedural Task Videos
Shih–Po Lee, Zijia Lu, Zekun Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/2105.10859, pp. 18655-18666
Closed Access | Times Cited: 2
Shih–Po Lee, Zijia Lu, Zekun Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/2105.10859, pp. 18655-18666
Closed Access | Times Cited: 2
