{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:37:13Z","timestamp":1757543833926},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>The key to video action detection lies in the understanding of interaction between persons and background objects in a video. Current methods usually employ object detectors to extract objects directly or use grid features to represent objects in the environment, which underestimate the great potential of multi-scale context information (e.g., objects and scenes of different sizes). How to exactly represent the multi-scale context and make full utilization of it still remains an unresolved challenge for spatial-temporal action localization. In this paper, we propose a novel Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network (AMCRNet) that extracts multi-scale context through multiple pooling layers with different sizes. Specifically, we develop an Interactive Relation Extraction module to model the higher-order relation between the target person and the context (e.g., other persons and objects). Along this line, we further propose a History Feature Bank and Interaction method to achieve better performance by modeling such relation across continuing video clips. Extensive experimental results on AVA2.2 and UCF101-24 demonstrate the superiority and rationality of our proposed AMCRNet.<\/jats:p>","DOI":"10.24963\/ijcai.2023\/186","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T04:31:30Z","timestamp":1691728290000},"page":"1676-1685","source":"Crossref","is-referenced-by-count":1,"title":["Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization"],"prefix":"10.24963","author":[{"given":"Jun","family":"Yu","sequence":"first","affiliation":[{"name":"Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China"},{"name":"State Key Laboratory of Cognitive Intelligence, Hefei, China"},{"name":"iFLYTEK Co., Ltd., Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingshuai","family":"Zheng","sequence":"additional","affiliation":[{"name":"iFLYTEK Co., Ltd., Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shulan","family":"Ruan","sequence":"additional","affiliation":[{"name":"Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China"},{"name":"State Key Laboratory of Cognitive Intelligence, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China"},{"name":"State Key Laboratory of Cognitive Intelligence, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Cheng","sequence":"additional","affiliation":[{"name":"iFLYTEK Co., Ltd., Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinze","family":"Wu","sequence":"additional","affiliation":[{"name":"iFLYTEK Co., Ltd., Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2023","name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","start":{"date-parts":[[2023,8,19]]},"theme":"Artificial Intelligence","location":"Macau, SAR China","end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T04:40:21Z","timestamp":1691728821000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/186"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/186","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}