{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:31:24Z","timestamp":1750221084045,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":20,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3287921.3287972","type":"proceedings-article","created":{"date-parts":[[2018,12,13]],"date-time":"2018-12-13T15:45:16Z","timestamp":1544715916000},"page":"297-304","source":"Crossref","is-referenced-by-count":1,"title":["Two-stream Deep Residual Learning with Fisher Criterion for Human Action Recognition"],"prefix":"10.1145","author":[{"given":"Dinh Viet","family":"Sang","sequence":"first","affiliation":[{"name":"Hanoi University of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoang Trung","family":"Dung","sequence":"additional","affiliation":[{"name":"Hanoi University of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3287921.3287972-1","unstructured":"Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, and Jiashi Feng. 2017. Dual path networks. In Advances in Neural Information Processing Systems. 4467--4475."},{"key":"key-10.1145\/3287921.3287972-2","unstructured":"Jiankang Deng, Jia Guo, and Stefanos Zafeiriou. 2018. ArcFace: Additive Angular Margin Loss for Deep Face Recognition. CoRR abs\/1801.07698 (2018). arXiv:1801.07698 http:\/\/arxiv.org\/abs\/1801.07698"},{"key":"key-10.1145\/3287921.3287972-3","unstructured":"Christoph Feichtenhofer, Axel Pinz, and Richard P. Wildes. 2016. Spatiotemporal Residual Networks for Video Action Recognition. CoRR abs\/1611.02155 (2016). arXiv:1611.02155 http:\/\/arxiv.org\/abs\/1611.02155"},{"key":"key-10.1145\/3287921.3287972-4","doi-asserted-by":"crossref","unstructured":"Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition. 770--778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"key-10.1145\/3287921.3287972-5","unstructured":"Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger. [n.d.]. Densely Connected Convolutional Networks."},{"key":"key-10.1145\/3287921.3287972-6","doi-asserted-by":"crossref","unstructured":"Gao Huang, Zhuang Liu, Kilian Q Weinberger, and Laurens van der Maaten. 2016. Densely connected convolutional networks. arXiv preprint arXiv:1608.06993 (2016).","DOI":"10.1109\/CVPR.2017.243"},{"key":"key-10.1145\/3287921.3287972-7","doi-asserted-by":"crossref","unstructured":"Orit Kliper-Gross, Yaron Gurovich, Tal Hassner, and Lior Wolf. 2012. Motion interchange patterns for action recognition in unconstrained videos. In European Conference on Computer Vision. Springer, 256--269.","DOI":"10.1007\/978-3-642-33783-3_19"},{"key":"key-10.1145\/3287921.3287972-8","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"key-10.1145\/3287921.3287972-9","doi-asserted-by":"crossref","unstructured":"Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998. Gradient-based learning applied to document recognition. Proc. IEEE 86, 11 (1998), 2278--2324.","DOI":"10.1109\/5.726791"},{"key":"key-10.1145\/3287921.3287972-10","unstructured":"Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song. 2017. SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRRabs\/1704.08063 (2017). arXiv:1704.08063 http:\/\/arxiv.org\/abs\/1704.08063"},{"key":"key-10.1145\/3287921.3287972-11","doi-asserted-by":"crossref","unstructured":"Kishore K Reddy and Mubarak Shah. 2013. Recognizing 50 human action categories of web videos. Machine Vision and Applications 24, 5 (2013), 971--981.","DOI":"10.1007\/s00138-012-0450-4"},{"key":"key-10.1145\/3287921.3287972-12","unstructured":"Sreemanananth Sadanand and Jason J Corso. 2012. Action bank: A high-level representation of activity in video. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 1234--1241."},{"key":"key-10.1145\/3287921.3287972-13","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Two-Stream Convolutional Networks for Action Recognition in Videos. CoRR abs\/1406.2199 (2014). arXiv:1406.2199 http:\/\/arxiv.org\/abs\/1406.2199"},{"key":"key-10.1145\/3287921.3287972-14","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"key-10.1145\/3287921.3287972-15","doi-asserted-by":"crossref","unstructured":"Berkan Solmaz, Shayan Modiri Assari, and Mubarak Shah. 2013. Classifying web videos using a global video descriptor. Machine vision and applications 24, 7 (2013), 1473--1485.","DOI":"10.1007\/s00138-012-0449-x"},{"key":"key-10.1145\/3287921.3287972-16","doi-asserted-by":"crossref","unstructured":"Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015. Going deeper with convolutions. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1--9.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"key-10.1145\/3287921.3287972-17","unstructured":"Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Zhifeng Li, Dihong Gong, Jingchao Zhou, and Wei Liu. 2018. CosFace: Large Margin Cosine Loss for Deep Face Recognition. CoRR abs\/1801.09414 (2018). arXiv:1801.09414 http:\/\/arxiv.org\/abs\/1801.09414"},{"key":"key-10.1145\/3287921.3287972-18","doi-asserted-by":"crossref","unstructured":"Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao. 2016. A discriminative feature learning approach for deep face recognition. In European Conference on Computer Vision. Springer, 499--515.","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"key-10.1145\/3287921.3287972-19","unstructured":"Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, and Jun Wang. 2015. Fusing Multi-Stream Deep Networks for Video Classification. CoRR abs\/1509.06086 (2015). arXiv:1509.06086 http:\/\/arxiv.org\/abs\/1509.06086"},{"key":"key-10.1145\/3287921.3287972-20","unstructured":"Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, and Thomas Brox. 2017. Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. CoRR abs\/1704.00616 (2017). arXiv:1704.00616 http:\/\/arxiv.org\/abs\/1704.00616"}],"event":{"number":"9","sponsor":["SOICT, School of Information and Communication Technology - HUST","NAFOSTED, The National Foundation for Science and Technology Development"],"acronym":"SoICT 2018","name":"the Ninth International Symposium","start":{"date-parts":[[2018,12,6]]},"location":"Danang City, Viet Nam","end":{"date-parts":[[2018,12,7]]}},"container-title":["Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3287921.3287972","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3287972&ftid=2025961&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:45Z","timestamp":1750208265000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3287921.3287972"}},"subtitle":[],"proceedings-subject":"Information and Communication Technology","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1145\/3287921.3287972","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}