The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Violence detection using Oriented VIolent Flows
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Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Action Recognition with Improved Trajectories
Wang, H., & Schmid, C. (2013) · 2013 IEEE International Conference on Computer Vision · doi:10.1109/iccv.2013.441 · Cited by 3,407
Laptev, I. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-1838-7 · Cited by 2,629
A survey on vision-based human action recognition
Poppe, R. (2010) · Image and Vision Computing · doi:10.1016/j.imavis.2009.11.014 · Cited by 2,242
Action recognition by dense trajectories
Wang, H., Klaser, A., Schmid, C., & Liu, C.-L. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995407 · Cited by 2,154
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
Niebles, J. C., Wang, H., & Fei-Fei, L. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0122-4 · Cited by 1,475
Recognizing realistic actions from videos “in the wild”
Liu, J., Luo, J., & Shah, M. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206744 · Cited by 1,075
Chaudhry, R., Ravichandran, A., Hager, G., & Vidal, R. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206821 · Cited by 621
Violence Detection in Video Using Computer Vision Techniques
Bermejo Nievas, E., Deniz Suarez, O., Bueno García, G., & Sukthankar, R. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-23678-5_39 · Cited by 589
Cited by
Testing Stylistic Interventions to Reduce Emotional Impact of Content Moderation Workers
Karunakaran, S., & Ramakrishan, R. (2019) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v7i1.5270 · Cited by 28
But Who Protects the Moderators? The Case of Crowdsourced Image Moderation
Dang, B., Riedl, M. J., & Lease, M. (2018) · arXiv · doi:10.48550/arxiv.1804.10999 · Cited by 26
Metadata
- Authors
- Gao, Y., Liu, H., Sun, X., Wang, C., & Liu, Y.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 48-49
- Pages
- 37-41
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2286655808
- Cited by
- 283
- References
- 24
- FWCI
- 14.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Violence detection using Oriented VIolent Flows. https://app.cochat.ai/papers/10.1016/j.imavis.2016.01.006
- The paper
- Gao, Y., Liu, H., Sun, X., Wang, C., & Liu, Y. (2016). Violence detection using Oriented VIolent Flows. Image and Vision Computing. https://doi.org/10.1016/j.imavis.2016.01.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
