{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:48:01Z","timestamp":1750308481568,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T00:00:00Z","timestamp":1732147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,21]]},"DOI":"10.1145\/3696952.3696971","type":"proceedings-article","created":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T22:27:26Z","timestamp":1731968846000},"page":"134-140","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Pedestrian Detection Using Event Cameras and YOLOv8: An Optimized Event Stream to Event Frame Conversion Algorithm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0040-9848","authenticated-orcid":false,"given":"Zhiyong","family":"Tian","sequence":"first","affiliation":[{"name":"Hubei University, Wuhan, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5340-5873","authenticated-orcid":false,"given":"Yunfei","family":"Li","sequence":"additional","affiliation":[{"name":"Rajamangala University of Technology Tawan-Ok, Bangkok, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,21]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Active label cleaning for improved dataset quality under resource constraints.  arXiv preprint arXiv:2109.00574","author":"Bernhardt Melanie","year":"2022","unstructured":"Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, and Ozan Oktay. 2022. Active label cleaning for improved dataset quality under resource constraints. arXiv preprint arXiv:2109.00574 (2022)."},{"key":"e_1_3_3_1_2_2","volume-title":"Data Cleaning and Machine Learning: A Systematic Literature Review. arXiv preprint arXiv:2310.01765","author":"C\u00f4t\u00e9 Pierre-Olivier","year":"2023","unstructured":"Pierre-Olivier C\u00f4t\u00e9, Amin Nikanjam, Nafisa Ahmed,Dmytro Humeniuk, and Foutse Khomh. 2023. Data Cleaning and Machine Learning: A Systematic Literature Review. arXiv preprint arXiv:2310.01765 (2023)."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3263078"},{"key":"e_1_3_3_1_4_2","volume-title":"Consistency Regularization Can Improve Robustness to Label Noise.  arXiv preprint arXiv:2110.01242","author":"Englesson Erik","year":"2021","unstructured":"Erik Englesson and Hossein Azizpour. 2021. Consistency Regularization Can Improve Robustness to Label Noise. arXiv preprint arXiv:2110.01242 (2021)."},{"key":"e_1_3_3_1_5_2","volume-title":"A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. arXiv preprint arXiv:2206.07277","author":"Ko Jongwoo","year":"2022","unstructured":"Jongwoo Ko, Bongsoo Yi, and Se-Young Yun. 2022. A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. arXiv preprint arXiv:2206.07277 (2022)."},{"key":"e_1_3_3_1_6_2","volume-title":"Proceedings of the 39th International Conference on Machine Learning.","author":"Wei Jiaheng","year":"2022","unstructured":"Jiaheng Wei, Hangyu Liu, Tongliang Liu, Gang Niu, Masashi Sugiyama, and Yang Liu. 2022. To Smooth or Not? When Label Smoothing Meets Noisy Labels. In Proceedings of the 39th International Conference on Machine Learning."},{"key":"e_1_3_3_1_7_2","volume-title":"Proceedings of the 39th International Conference on Machine Learning.","author":"Wu Dong-Dong","year":"2022","unstructured":"Dong-Dong Wu, Deng-Bao Wang, and Min-Ling Zhang. 2022. Revisiting Consistency Regularization for Deep Partial Label Learning. In Proceedings of the 39th International Conference on Machine Learning."},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICEBEG.2011.5885287"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3347633"}],"event":{"name":"ICIIP 2024: 2024 9th International Conference on Intelligent Information Processing","acronym":"ICIIP 2024","location":"Bucharest Romania"},"container-title":["Proceedings of the 2024 9th International Conference on Intelligent Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696952.3696971","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696952.3696971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:43:15Z","timestamp":1750272195000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696952.3696971"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,21]]},"references-count":9,"alternative-id":["10.1145\/3696952.3696971","10.1145\/3696952"],"URL":"https:\/\/doi.org\/10.1145\/3696952.3696971","relation":{},"subject":[],"published":{"date-parts":[[2024,11,21]]},"assertion":[{"value":"2024-11-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}