{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:27:49Z","timestamp":1761895669185,"version":"build-2065373602"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11210040","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Multi-soft-label Guided Supervised Contrastive Learning for Gait Emotion Recognition"],"prefix":"10.1109","author":[{"given":"Chengju","family":"Zhou","sequence":"first","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,China"}]},{"given":"Mengxin","family":"Xu","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,China"}]},{"given":"Xiaotong","family":"Fan","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,China"}]},{"given":"Liangyu","family":"Lu","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,China"}]},{"given":"Jiahui","family":"Pan","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,China"}]},{"given":"Lewei","family":"He","sequence":"additional","affiliation":[{"name":"South China Normal University,School of Artificial Intelligence,China"}]}],"member":"263","reference":[{"issue":"3","key":"ref1","first-page":"363","article-title":"Emotion recognition from gait11(1) analyses: Current research and future directions","volume":"13","author":"Hu","year":"2022","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1167\/9.6.15"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i02.5490"},{"key":"ref4","first-page":"145","article-title":"Take an emotion walk: Perceiving emotions from gaits using hierarchical attention pooling and affective mapping","volume-title":"European Conference on Computer Vision","author":"Mittal"},{"key":"ref5","first-page":"3229","article-title":"Step: Spatial temporal graph convolutional networks for emotion perception from gaits","volume-title":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","author":"Dong"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25272"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29619"},{"key":"ref8","first-page":"18661","article-title":"Supervised contrastive learning","volume":"33","author":"Wang","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2013-001964"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85563-7_14"},{"issue":"2","key":"ref11","first-page":"2537","article-title":"Affective-pose gait: perceiving emotions from gaits with body pose and human affective prior knowledge","volume":"83","author":"TingTing","year":"2024","journal-title":"Multimedia Tools and Applications"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"article-title":"G-gcsn: Global graph convolution shrinkage network for emotion perception from gait","volume-title":"Proceedings of the Asian Conference on Computer Vision","author":"Tong","key":"ref13"},{"key":"ref14","first-page":"187","article-title":"Pyr-hgcn: Pyramid hybrid graph convolutional network for gait emotion recognition","volume-title":"Chinese Conference on Pattern Recognition and Computer Vision (PRCV)","author":"Yin"},{"key":"ref15","first-page":"16786","article-title":"Msa-gcn: Multiscale adaptive graph convolution network for gait emotion recognition","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Huang"},{"article-title":"Pyr-hgcn: Pyramid hybrid graph convolutional network for gait emotion recognition","year":"2023","author":"Gan","key":"ref16"},{"key":"ref17","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Norouzi"},{"key":"ref18","first-page":"9729","article-title":"Momentum contrast for unsupervised visual representation learning","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","author":"Wu"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01230"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11210040.pdf?arnumber=11210040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:56:00Z","timestamp":1761890160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11210040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11210040","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}