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阿萨德

专著
Machine Learning, Pattern Recognition, Computer Vision, Video Analysis, and Deep Learning

  1. [1]. Asad, M., J., He, Yang, J., & Malik, A. A. (2022). Multi-level Two Stream Fusion based Spatio-temporal Attention Model for Violence Detection and Localization. International Journal of Pattern Recognition & Artificial Intelligence. https://doi.org/10.1142/S0218001422550023



    [2]. Asad, M., J., He, Yang, J., Tu, E., & Malik, A. A. (2021). Multi-Stream 3D Latent Feature Clustering for Abnormality Detection in Videos. Applied Intelligence Journal Appl Intell (2021). http://dx.doi.org/10.1007/s10489-021-02356-9. [Impact Factor: 5.068]


    [3]. Asad, M., Yang, J., Tu, E., Chen, L., & He, X. (2021). Anomaly3D: Video anomaly detection based on 3D-normality clusters. Journal of Visual Communication and Image Representation, 75, 103047. https://doi.org/10.1016/j.jvcir.2021.103047 . [Impact Factor: 2.479]



    [4]. Asad, M., Yang, J., He, J., Shamsolmoali, P., & He, X. (2020). Multi-frame feature-fusion-based model for violence detection. The Visual Computer, 1-17. https://doi.org/10.1007/s00371-020-01878-6 . [Impact Factor: 2.479].


    [5]. Jiang, H., Asad, M., Huang, X., & Yang, J. (2020). “Learning in-place residual homogeneity for single image detail enhancement”. Journal of Electronic Imaging, 29(4), 043016. https://doi.org/10.1117/1.JEI.29.4.043016. [Impact Factor: 0.884].



     

    INTERNATIONAL CONFERENCE PUBLICATIONS:

     

    [6].  Asad, M ., Yang, Z., Khan, Z., Yang, J., & He, X. ( 2019, December ). “Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos”. In International Conference on Neural Information Processing (ICONIP) (pp. 405-417). Springer, Cham. https://doi.org/10.1007/978-3-030-36708-4_33 .


    [7].  J. Zafar and M. Asad , "Enhanced Security and Reinstatement Computing of Images Using Fragile Invisible Integer Wavelet Watermarking Scheme" In Proceedings of the World Congress on Engineering 2015 Vol. 1 WCE 2015, July 1-3, 2015 , London, UK ISBN: 978-988-19253-4-3, ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online) http://www.iaeng.org/publication/WCE2015/WCE2015_pp566-570. pdf


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