[17] Arnon Amir, Brian Taba, David Berg, Timothy Melano, Jeffrey McKinstry, Carmelo Di Nolfo, Tapan Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, et al. A low power, fully event-based gesture recognition system. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 7243-7252, 2017.
[18] Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Courtssoulatze, and Yiannis Andreopoulos. Graph-based spatio-temporal feature learning for neuromorphic vision sensing. IEEE Transactions on Image Processing, 29:9084-9098, 2020.
[19] Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso Poggio, and Thomas Serre. Hmdb: a large video database for human motion recognition. In 2011 International conference on computer vision, pages 2556-2563. IEEE, 2011.
[20] Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, and Guoqi Li. Es-imagenet: A million event-stream classification dataset for spiking neural networks. Frontiers in neuroscience, page 1546, 2021.
[21] Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah. Ucf101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402, 2012.
[22] Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, and Ryad Benosman. Hats: Histograms of averaged time surfaces for robust event-based object classification. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1731-1740, 2018.
[23] Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Courtssoulatze, and Yiannis Andreopoulos. Graph-based object classification for neuromorphic vision sensing. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 491-501, 2019.
[24] Qianhui Liu, Dong Xing, Huajin Tang, De Ma, and Gang Pan. Event-based action recognition using motion information and spiking neural networks. In IJCAI, pages 1743-1749, 2021.
[25] Enrique Bermejo Nievas, Oscar Deniz Suarez, Gloria Bueno García, and Rahul Sukthankar. Violence detection in video using computer vision techniques. In Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part II 14, pages 332-339. Springer, 2011.
[26] Enrique Bermejo Nievas, Oscar Deniz Suarez, Gloria Bueno Garcia, and Rahul Sukthankar. Hockey fight detection dataset. In Computer Analysis of Images and Patterns, pages 332-339. Springer Berlin/Heidelberg, Germany, 2011.
[27] Waqas Sultani, Chen Chen, and Mubarak Shah. Real-world anomaly detection in surveillance videos. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 6479-6488, 2018.
[28] Ming Cheng, Kunjing Cai, and Ming Li. Rwf-2000: an open large scale video database for violence detection. In 2020 25th International Conference on Pattern Recognition (ICPR), pages 4183–4190. IEEE, 2021.
[29] Claire-Hélène Demarty, Cédric Penet, Mohammad Soleymani, and Guillaume Gravier. Vsd, a public dataset for the detection of violent scenes in movies: design, annotation, analysis and evaluation. Multimedia Tools and Applications, 74:7379-7404, 2015.
[30] Peter U Diehl and Matthew Cook. Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Frontiers in computational neuroscience, 9:99, 2015.
[31] Tielin Zhang, Yi Zeng, Dongcheng Zhao, and Mengting Shi. A plasticity-centric approach to train the non-differential spiking neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence, 2018.
[32] Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer, and Shih-Chii Liu. Conversion of continuous-valued deep networks to efficient event-driven networks for image classification. Frontiers in neuroscience, 11:682, 2017.