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OpenAlex Citation Counts

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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:

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian, Guansong Pang, Yuanhong Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 4955-4966
Open Access | Times Cited: 277

Showing 1-25 of 277 citing articles:

Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 14724-14734
Open Access | Times Cited: 122
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection
Shuo Li, Fang Liu, Licheng Jiao
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 1395-1403
Open Access | Times Cited: 118
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20111-20121
Open Access | Times Cited: 85
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 387-395
Open Access | Times Cited: 67
TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection
Waseem Ullah, Tanveer Hussain, Fath U Min Ullah, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106173-106173
Closed Access | Times Cited: 60
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection
Antonio Bărbălau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, et al.
Computer Vision and Image Understanding (2023) Vol. 229, pp. 103656-103656
Open Access | Times Cited: 53
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
Hui Lv, Zhongqi Yue, Qianru Sun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 45
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
Chen Zhang, Guorong Li, Yuankai Qi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 43
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 6074-6082
Open Access | Times Cited: 22
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: 15
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen, Yu Tian, Guansong Pang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 1, pp. 383-392
Open Access | Times Cited: 63
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: 53
Attention-based anomaly detection in multi-view surveillance videos
Qun Li, Rui Yang, Fu Xiao, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109348-109348
Closed Access | Times Cited: 47
Video anomaly detection based on spatio-temporal relationships among objects
Yang Wang, Tianying Liu, Jiaogen Zhou, et al.
Neurocomputing (2023) Vol. 532, pp. 141-151
Closed Access | Times Cited: 39
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Hang Zhou, Junqing Yu, Wei Yang
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 3, pp. 3769-3777
Open Access | Times Cited: 35
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
Fernando J. Rendón-Segador, Juan A. Álvarez-García, José L. Salazar-González, et al.
Neural Networks (2023) Vol. 161, pp. 318-329
Open Access | Times Cited: 31
Large margin distribution multi-class supervised novelty detection
Fa Zhu, Wenjie Zhang, Xingchi Chen, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119937-119937
Closed Access | Times Cited: 30
Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection
Shengyang Sun, Xiaojin Gong
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 22846-22856
Open Access | Times Cited: 30
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: 22
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: 13
Toward Video Anomaly Retrieval From Video Anomaly Detection: New Benchmarks and Model
Peng Wu, Jing Liu, Xiangteng He, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2213-2225
Closed Access | Times Cited: 11
Squirrel search method for deep learning-based anomaly identification in videos
Laxmikant Malphedwar, T. Rajesh Kumar
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 1197-1206
Open Access | Times Cited: 9
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
Weijun Tan, Qi Yao, Jingfeng Liu
(2024)
Open Access | Times Cited: 9
Semantic-driven dual consistency learning for weakly supervised video anomaly detection
Yong Su, Yuyu Tan, Simin An, et al.
Pattern Recognition (2024) Vol. 157, pp. 110898-110898
Closed Access | Times Cited: 9
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: 8
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