James Allan, Rahul Gupta, and Vikas Khandelwal. Temporal summaries of new topics. In International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 10-18, 2001.
Evlampios Apostolidis, Eleni Adamantidou, Alexandros I Metsai, Vasileios Mezaris, and Ioannis Patras. Video summarization using deep neural networks: A survey. Proceedings of the IEEE, 109 (11):1838-1863, 2021.
Roberto Camacho Barranco, Arnold P Boedihardjo, and M Shahriar Hossain. Analyzing evolving stories in news articles. International Journal of Data Science and Analytics, 8(3):241-256, 2019.
Hai Leong Chieu and Yoong Keok Lee. Query based event extraction along a timeline. In International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 425-432, 2004.
Basura Fernando, Hakan Bilen, Efstratios Gavves, and Stephen Gould. Self-supervised video representation learning with odd-one-out networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3636-3645, 2017.
Lester Randolph Ford and Delbert R Fulkerson. Maximal flow through a network. Canadian journal of Mathematics, 8:399-404, 1956.
Demian Gholipour Ghalandari and Georgiana Ifrim. Examining the state-of-the-art in news timeline summarization. In Annual Meeting of the Association for Computational Linguistics, 2020.
Boqing Gong, Wei-Lun Chao, Kristen Grauman, and Fei Sha. Diverse sequential subset selection for supervised video summarization. Advances in Neural Information Processing Systems, 27, 2014.
Jianping Gou, Baosheng Yu, Stephen J Maybank, and Dacheng Tao. Knowledge distillation: A survey. International Journal of Computer Vision, 129:1789-1819, 2021.
Saurabh Gupta, Judy Hoffman, and Jitendra Malik. Cross modal distillation for supervision transfer. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2827-2836, 2016.
Tengda Han, Weidi Xie, and Andrew Zisserman. Video representation learning by dense predictive coding. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, pages 0-0, 2019.
Jack Hessel, Jena D Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, and Yejin Choi. The abduction of sherlock holmes: A dataset for visual abductive reasoning. In European Conference on Computer Vision, pages 558-575. Springer, 2022.
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531, 2015.
Cheng Huang and Hongmei Wang. A novel key-frames selection framework for comprehensive video summarization. IEEE Transactions on Circuits and Systems for Video Technology, 30(2): 577-589, 2019.
Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu. 3d convolutional neural networks for human action recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):221-231, 2012.
Maurice G Kendall. A new measure of rank correlation. Biometrika, 30(1/2):81-93, 1938.
Aditya Khosla, Raffay Hamid, Chih-Jen Lin, and Neel Sundaresan. Large-scale video summarization using web-image priors. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2698-2705, 2013.
Diederik P Kingma and Jimmy Ba. Adam: A method for stochastic optimization. In International Conference on Learning Representations, 2015.