{
 "id": "E1i0/CASTLE2024",
 "owner": "E1i0",
 "name": "CASTLE2024",
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 "last_modified": "2026-05-09T02:24:28.000Z",
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 "citation": "@inproceedings{10.1145/3746027.3758199,\n  author = {Rossetto, Luca and Bailer, Werner and Dang-Nguyen, Duc-Tien and Healy, Graham and J\\'{o}nsson, Bj\\\"{o}rn \\TH{}\\'{o}r and Kongmeesub, Onanong and Le, Hoang-Bao and Rudinac, Stevan and Sch\\\"{o}ffmann, Klaus and Spiess, Florian and Tran, Allie and Tran, Minh-Triet and Tran, Quang-Linh and Gurrin, Cathal},\n  title = {The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding},\n  year = {2025},\n  isbn = {9798400720352},\n  publisher = {Association for Computing Machinery},\n  address = {New York, NY, USA},\n  url = {https://doi.org/10.1145/3746027.3758199},\n  doi = {10.1145/3746027.3758199},\n  booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},\n  pages = {12629\u201312635},\n  numpages = {7},\n  keywords = {dataset, egocentric vision, lifelogging, multi-perspective video, multimodal understanding},\n  location = {Dublin, Ireland},\n  series = {MM '25}\n}",
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}