[4] Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte. Know your surroundings: Exploiting scene information for object tracking. In European Conference on Computer Vision, pages 205–221. Springer, 2020. 3, 5, 7, 8
[5] Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. End-to-end object detection with transformers. In European conference on computer vision, pages 213-229. Springer, 2020. 3
[6] Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, and Huchuan Lu. Transformer tracking. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8126-8135, 2021. 3
[7] Ho Kei Cheng and Alexander G. Schwing. XMem: Long-term video object segmentation with an atkinson-shiffrin memory model. In ECCV, 2022. 4
[8] Seokeon Choi, Junhyun Lee, Yunsung Lee, and Alexander Hauptmann. Robust long-term object tracking via improved discriminative model prediction. In European Conference on Computer Vision, pages 602-617. Springer, 2020. 3
[9] Yutao Cui, Cheng Jiang, Limin Wang, and Gangshan Wu. Mixformer: End-to-end tracking with iterative mixed attention. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 13608-13618, 2022. 4, 7
[10] Yutao Cui, Cheng Jiang, Gangshan Wu, and Limin Wang. Mixformer: End-to-end tracking with iterative mixed attention, 2023. 7, 8
[11] Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Hutchuan Lu, and Xiaoyun Yang. High-performance long-term tracking with meta-updater. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6298-6307, 2020. 2, 3, 7, 18
[12] Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray. Scaling egocentric vision: The epic-kitchens dataset. In European Conference on Computer Vision (ECCV), 2018. 4, 6
[13] Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, and Michael Felsberg. Atom: Accurate tracking by overlap maximization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4660-4669, 2019. 3
[14] Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard Ely Locke Higgins, Sanja Fidler, David Fouhey, and Dima Damen. Epic-kitchens visor benchmark: Video segmentations and object relations. In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2022. 4, 9
[15] Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan. Tao: A large-scale benchmark for tracking any object. In European conference on computer vision, pages 436-454. Springer, 2020. 3, 4
[16] Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, and Ah-Hwee Tan. Summarization of egocentric videos: A comprehensive survey. IEEE Transactions on Human-Machine Systems, 47(1):65-76, 2017. 4
[17] Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929, 2020. 3
[18] Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, and Cheston Tan. A survey of embodied ai: From simulators to research tasks. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022. 1
[19] Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, and Christian Micheloni. Is first person vision challenging for object tracking? In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 2698-2710, 2021. 4
[20] Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, and Christian Micheloni. Visual object tracking in first person vision. International Journal of Computer Vision, 131(1):259-283, 2023. 4
[21] Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, and Haibin Ling. Lasot: A high-quality benchmark for large-scale single object tracking. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 5374-5383, 2019. 1, 3, 4
[22] Yazan Abu Farha, Alexander Richard, and Juergen Gall. When will you do what? - anticipating temporal occurrences of activities. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5343-5352, 2018. 4
[23] Alirczua Fathi, Jessica K. Hodgins, and James M. Rehg. Social interactions: A first-person perspective. In 2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 1226-1233, 2012. 4