{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:35:38Z","timestamp":1765233338696,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T00:00:00Z","timestamp":1656288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M651123"],"award-info":[{"award-number":["2019M651123"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"General project of Liaoning Provincial Department of Education, China","award":["LJKZ0986"],"award-info":[{"award-number":["LJKZ0986"]}]},{"name":"Science and Technology Innovation Fund of Dalian, China","award":["2018RQ65"],"award-info":[{"award-number":["2018RQ65"]}]},{"name":"Dalian Key Laboratory Special Fund,China"},{"name":"Liaoning Provincial Key Laboratory Special Fund of China"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,27]]},"DOI":"10.1145\/3512527.3531416","type":"proceedings-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T22:23:32Z","timestamp":1656023012000},"page":"624-630","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Blindfold Attention: Novel Mask Strategy for Facial Expression Recognition"],"prefix":"10.1145","author":[{"given":"Bo","family":"Fu","sequence":"first","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanxin","family":"Mao","sequence":"additional","affiliation":[{"name":"Liaoning Normal University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shilin","family":"Fu","sequence":"additional","affiliation":[{"name":"Liaoning Normal University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonggong","family":"Ren","sequence":"additional","affiliation":[{"name":"Liaoning Normal University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongxuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Cross-Dataset Learning and Person-Specific Normalisation for Automatic Action Unit Detection. In 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","author":"Baltrusaitis Tadas","year":"2015","unstructured":"Tadas Baltrusaitis , Marwa Mahmoud , and Peter Robinson . 2015. Cross-Dataset Learning and Person-Specific Normalisation for Automatic Action Unit Detection. In 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) . IEEE , Ljubljana , 1--6. https:\/\/doi.org\/10.1109\/FG. 2015 .7284869 10.1109\/FG.2015.7284869 Tadas Baltrusaitis, Marwa Mahmoud, and Peter Robinson. 2015. Cross-Dataset Learning and Person-Specific Normalisation for Automatic Action Unit Detection. In 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG). IEEE, Ljubljana, 1--6. https:\/\/doi.org\/10.1109\/FG.2015.7284869"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"e_1_3_2_2_3_1","volume-title":"International Conference on Machine Learning. PMLR, 1691--1703","author":"Chen Mark","year":"2020","unstructured":"Mark Chen and Alec Radford . 2020 . Generative Pretraining from Pixels . In International Conference on Machine Learning. PMLR, 1691--1703 . Mark Chen and Alec Radford. 2020. Generative Pretraining from Pixels. In International Conference on Machine Learning. PMLR, 1691--1703."},{"key":"e_1_3_2_2_4_1","volume-title":"Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Chen Shikai","year":"2020","unstructured":"Shikai Chen , Jianfeng Wang , Yuedong Chen , Zhongchao Shi , Xin Geng , and Yong Rui . 2020 . Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Seattle, WA, USA, 13981--13990. https:\/\/doi.org\/10.1109\/CVPR42600. 2020.01400 10.1109\/CVPR42600.2020.01400 Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, and Yong Rui. 2020. Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Seattle, WA, USA, 13981--13990. https:\/\/doi.org\/10.1109\/CVPR42600.2020.01400"},{"key":"e_1_3_2_2_5_1","volume-title":"Facial Motion Prior Networks for Facial Expression Recognition. In 2019 IEEE Visual Communications and Image Processing (VCIP)","author":"Chen Yuedong","year":"2019","unstructured":"Yuedong Chen , Jianfeng Wang , Shikai Chen , Zhongchao Shi , and Jianfei Cai . 2019. Facial Motion Prior Networks for Facial Expression Recognition. In 2019 IEEE Visual Communications and Image Processing (VCIP) . IEEE , Sydney, Australia , 1--4. https:\/\/doi.org\/10.1109\/VCIP47243. 2019 .8965826 10.1109\/VCIP47243.2019.8965826 Yuedong Chen, Jianfeng Wang, Shikai Chen, Zhongchao Shi, and Jianfei Cai. 2019. Facial Motion Prior Networks for Facial Expression Recognition. In 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, Sydney, Australia, 1--4. https:\/\/doi.org\/10.1109\/VCIP47243.2019.8965826"},{"key":"e_1_3_2_2_6_1","volume-title":"Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence 302 (Jan","author":"Chen Yifan","year":"2022","unstructured":"Yifan Chen , Yang Wang , Pengjie Ren , Meng Wang , and Maarten de Rijke . 2022. Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence 302 (Jan . 2022 ), 103589. https:\/\/doi.org\/10.1016\/j.artint.2021.103589 10.1016\/j.artint.2021.103589 Yifan Chen, Yang Wang, Pengjie Ren, Meng Wang, and Maarten de Rijke. 2022. Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence 302 (Jan. 2022), 103589. https:\/\/doi.org\/10.1016\/j.artint.2021.103589"},{"key":"e_1_3_2_2_7_1","volume-title":"Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. (Nov","author":"Das Arun","year":"2021","unstructured":"Arun Das , Jeffrey Mock , Yufei Huang , Edward Golob , and Peyman Najafirad . 2021. Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. (Nov . 2021 ), 9. Arun Das, Jeffrey Mock, Yufei Huang, Edward Golob, and Peyman Najafirad. 2021. Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. (Nov. 2021), 9."},{"key":"e_1_3_2_2_8_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv:1810.04805 [cs] (May","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv:1810.04805 [cs] (May 2019). arXiv:1810.04805 [cs] Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv:1810.04805 [cs] (May 2019). arXiv:1810.04805 [cs]"},{"key":"e_1_3_2_2_9_1","volume-title":"An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv:2010.11929 [cs] (June","author":"Dosovitskiy Alexey","year":"2021","unstructured":"Alexey Dosovitskiy , Lucas Beyer , Alexander Kolesnikov , Dirk Weissenborn , Xiaohua Zhai , Thomas Unterthiner , Mostafa Dehghani , Matthias Minderer , Georg Heigold , Sylvain Gelly , Jakob Uszkoreit , and Neil Houlsby . 2021. An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv:2010.11929 [cs] (June 2021 ). arXiv:2010.11929 [cs] Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021. An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv:2010.11929 [cs] (June 2021). arXiv:2010.11929 [cs]"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1134\/S1054661807040190"},{"key":"e_1_3_2_2_11_1","volume-title":"Attention Mechanisms in Computer Vision: A Survey. arXiv:2111.07624 [cs] (Nov","author":"Guo Meng-Hao","year":"2021","unstructured":"Meng-Hao Guo , Tian-Xing Xu , Jiang-Jiang Liu , Zheng-Ning Liu , Peng-Tao Jiang , Tai-Jiang Mu , Song-Hai Zhang , Ralph R. Martin , Ming-Ming Cheng , and Shi-Min Hu. 2021. Attention Mechanisms in Computer Vision: A Survey. arXiv:2111.07624 [cs] (Nov . 2021 ). arXiv:2111.07624 [cs] Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, and Shi-Min Hu. 2021. Attention Mechanisms in Computer Vision: A Survey. arXiv:2111.07624 [cs] (Nov. 2021). arXiv:2111.07624 [cs]"},{"key":"e_1_3_2_2_12_1","first-page":"11","article-title":"MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World","volume":"2016","author":"Guo Yandong","year":"2016","unstructured":"Yandong Guo , Lei Zhang , Yuxiao Hu , Xiaodong He , and Jianfeng Gao . 2016 . MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World . Electronic Imaging 2016 , 11 (Feb. 2016), 1--6. https:\/\/doi.org\/10.2352\/ISSN.2470--1173.2016.11.IMAWM-463 10.2352\/ISSN.2470--1173.2016.11.IMAWM-463 Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao. 2016. MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World. Electronic Imaging 2016, 11 (Feb. 2016), 1--6. https:\/\/doi.org\/10.2352\/ISSN.2470--1173.2016.11.IMAWM-463","journal-title":"Electronic Imaging"},{"key":"e_1_3_2_2_13_1","volume-title":"Masked Autoencoders Are Scalable Vision Learners. arXiv:2111.06377 [cs] (Dec","author":"He Kaiming","year":"2021","unstructured":"Kaiming He , Xinlei Chen , Saining Xie , Yanghao Li , Piotr Doll\u00e1r , and Ross Girshick . 2021. Masked Autoencoders Are Scalable Vision Learners. arXiv:2111.06377 [cs] (Dec . 2021 ). arXiv:2111.06377 [cs] Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Doll\u00e1r, and Ross Girshick. 2021. Masked Autoencoders Are Scalable Vision Learners. arXiv:2111.06377 [cs] (Dec. 2021). arXiv:2111.06377 [cs]"},{"key":"e_1_3_2_2_14_1","volume-title":"Momentum Contrast for Unsupervised Visual Representation Learning. arXiv:1911.05722 [cs] (March","author":"He Kaiming","year":"2020","unstructured":"Kaiming He , Haoqi Fan , Yuxin Wu , Saining Xie , and Ross Girshick . 2020. Momentum Contrast for Unsupervised Visual Representation Learning. arXiv:1911.05722 [cs] (March 2020 ). arXiv:1911.05722 [cs] Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick. 2020. Momentum Contrast for Unsupervised Visual Representation Learning. arXiv:1911.05722 [cs] (March 2020). arXiv:1911.05722 [cs]"},{"key":"e_1_3_2_2_15_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Las Vegas, NV, USA, 770--778. https:\/\/doi.org\/10.1109\/CVPR. 2016.90 10.1109\/CVPR.2016.90 Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Las Vegas, NV, USA, 770--778. https:\/\/doi.org\/10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_16_1","volume-title":"Coordinate Attention for Efficient Mobile Network Design. arXiv:2103.02907 [cs] (March","author":"Hou Qibin","year":"2021","unstructured":"Qibin Hou , Daquan Zhou , and Jiashi Feng . 2021. Coordinate Attention for Efficient Mobile Network Design. arXiv:2103.02907 [cs] (March 2021 ). arXiv:2103.02907 [cs] Qibin Hou, Daquan Zhou, and Jiashi Feng. 2021. Coordinate Attention for Efficient Mobile Network Design. arXiv:2103.02907 [cs] (March 2021). arXiv:2103.02907 [cs]"},{"key":"e_1_3_2_2_17_1","volume-title":"Squeeze-and-Excitation Networks. arXiv:1709.01507 [cs] (May","author":"Hu Jie","year":"2019","unstructured":"Jie Hu , Li Shen , Samuel Albanie , Gang Sun , and Enhua Wu. 2019. Squeeze-and-Excitation Networks. arXiv:1709.01507 [cs] (May 2019 ). arXiv:1709.01507 [cs] Jie Hu, Li Shen, Samuel Albanie, Gang Sun, and Enhua Wu. 2019. Squeeze-and-Excitation Networks. arXiv:1709.01507 [cs] (May 2019). arXiv:1709.01507 [cs]"},{"key":"e_1_3_2_2_18_1","volume-title":"Facial Expression Recognition with Grid-Wise Attention and Visual Transformer. Information Sciences 580 (Nov","author":"Huang Qionghao","year":"2021","unstructured":"Qionghao Huang , Changqin Huang , Xizhe Wang , and Fan Jiang . 2021. Facial Expression Recognition with Grid-Wise Attention and Visual Transformer. Information Sciences 580 (Nov . 2021 ), 35--54. https:\/\/doi.org\/10.1016\/j.ins.2021.08.043 10.1016\/j.ins.2021.08.043 Qionghao Huang, Changqin Huang, Xizhe Wang, and Fan Jiang. 2021. Facial Expression Recognition with Grid-Wise Attention and Visual Transformer. Information Sciences 580 (Nov. 2021), 35--54. https:\/\/doi.org\/10.1016\/j.ins.2021.08.043"},{"key":"e_1_3_2_2_19_1","volume-title":"Picking and Growing for Unforgetting Continual Learning. arXiv:1910.06562 [cs, stat] (Oct","author":"Hung Steven C. Y.","year":"2019","unstructured":"Steven C. Y. Hung , Cheng-Hao Tu , Cheng-En Wu , Chien-Hung Chen , Yi-Ming Chan , and Chu-Song Chen . 2019. Compacting , Picking and Growing for Unforgetting Continual Learning. arXiv:1910.06562 [cs, stat] (Oct . 2019 ). arXiv:1910.06562 [cs, stat] Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen. 2019. Compacting, Picking and Growing for Unforgetting Continual Learning. arXiv:1910.06562 [cs, stat] (Oct. 2019). arXiv:1910.06562 [cs, stat]"},{"key":"e_1_3_2_2_20_1","volume-title":"Spatial Transformer Networks. arXiv:1506.02025 [cs] (Feb","author":"Jaderberg Max","year":"2016","unstructured":"Max Jaderberg , Karen Simonyan , Andrew Zisserman , and Koray Kavukcuoglu . 2016. Spatial Transformer Networks. arXiv:1506.02025 [cs] (Feb . 2016 ). arXiv:1506.02025 [cs] Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu. 2016. Spatial Transformer Networks. arXiv:1506.02025 [cs] (Feb. 2016). arXiv:1506.02025 [cs]"},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV).","author":"Jiabei Zeng","year":"2018","unstructured":"Zeng Jiabei , Shan Shiguang , and Chen Xilin . 2018 . Facial Expression Recognition with Inconsistently Annotated Datasets . In Proceedings of the European Conference on Computer Vision (ECCV). Zeng Jiabei, Shan Shiguang, and Chen Xilin. 2018. Facial Expression Recognition with Inconsistently Annotated Datasets. In Proceedings of the European Conference on Computer Vision (ECCV)."},{"key":"e_1_3_2_2_22_1","volume-title":"Detective: An Attentive Recurrent Model for Sparse Object Detection. In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE","author":"Kechaou Amine","year":"2021","unstructured":"Amine Kechaou , Manuel Martinez , Monica Haurilet , and Rainer Stiefelhagen . 2021 . Detective: An Attentive Recurrent Model for Sparse Object Detection. In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE , Milan, Italy, 5340--5347. https:\/\/doi.org\/10.1109\/ICPR48806. 2021.9412336 10.1109\/ICPR48806.2021.9412336 Amine Kechaou, Manuel Martinez, Monica Haurilet, and Rainer Stiefelhagen. 2021. Detective: An Attentive Recurrent Model for Sparse Object Detection. In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, Milan, Italy, 5340--5347. https:\/\/doi.org\/10.1109\/ICPR48806.2021.9412336"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01304-3"},{"key":"e_1_3_2_2_24_1","volume-title":"MVT: Mask Vision Transformer for Facial Expression Recognition in the Wild. arXiv:2106.04520 [cs] (July","author":"Li Hanting","year":"2021","unstructured":"Hanting Li , Mingzhe Sui , Feng Zhao , Zhengjun Zha , and Feng Wu . 2021 . MVT: Mask Vision Transformer for Facial Expression Recognition in the Wild. arXiv:2106.04520 [cs] (July 2021). arXiv:2106.04520 [cs] Hanting Li, Mingzhe Sui, Feng Zhao, Zhengjun Zha, and Feng Wu. 2021. MVT: Mask Vision Transformer for Facial Expression Recognition in the Wild. arXiv:2106.04520 [cs] (July 2021). arXiv:2106.04520 [cs]"},{"key":"e_1_3_2_2_25_1","volume-title":"Deep Facial Expression Recognition: A Survey","author":"Li Shan","year":"2020","unstructured":"Shan Li and Weihong Deng . 2020. Deep Facial Expression Recognition: A Survey . IEEE Transactions on Affective Computing ( 2020 ), 1--1. https:\/\/doi.org\/10.1109\/TAFFC.2020.2981446 10.1109\/TAFFC.2020.2981446 Shan Li and Weihong Deng. 2020. Deep Facial Expression Recognition: A Survey. IEEE Transactions on Affective Computing (2020), 1--1. https:\/\/doi.org\/10.1109\/TAFFC.2020.2981446"},{"key":"e_1_3_2_2_26_1","volume-title":"Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Li Shan","year":"2017","unstructured":"Shan Li , Weihong Deng , and JunPing Du . 2017 . Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Honolulu, HI, 2584--2593. https:\/\/doi.org\/10.1109\/CVPR. 2017.277 10.1109\/CVPR.2017.277 Shan Li, Weihong Deng, and JunPing Du. 2017. Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Honolulu, HI, 2584--2593. https:\/\/doi.org\/10.1109\/CVPR.2017.277"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886767"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2021.3122146"},{"key":"e_1_3_2_2_29_1","volume-title":"Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. arXiv:2109.02499 [cs] (Sept","author":"Mao Jiageng","year":"2021","unstructured":"Jiageng Mao , Minzhe Niu , Haoyue Bai , Xiaodan Liang , Hang Xu , and Chunjing Xu. 2021. Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. arXiv:2109.02499 [cs] (Sept . 2021 ). arXiv:2109.02499 [cs] Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, and Chunjing Xu. 2021. Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. arXiv:2109.02499 [cs] (Sept. 2021). arXiv:2109.02499 [cs]"},{"key":"e_1_3_2_2_30_1","first-page":"9","article-title":"Deep-Emotion","volume":"21","author":"Minaee Shervin","year":"2021","unstructured":"Shervin Minaee , Mehdi Minaei , and Amirali Abdolrashidi . 2021 . Deep-Emotion : Facial Expression Recognition Using Attentional Convolutional Network. Sensors 21 , 9 (April 2021), 3046. https:\/\/doi.org\/10.3390\/s21093046 10.3390\/s21093046 Shervin Minaee, Mehdi Minaei, and Amirali Abdolrashidi. 2021. Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network. Sensors 21, 9 (April 2021), 3046. https:\/\/doi.org\/10.3390\/s21093046","journal-title":"Facial Expression Recognition Using Attentional Convolutional Network. Sensors"},{"key":"e_1_3_2_2_31_1","volume-title":"Recurrent Models of Visual Attention. arXiv:1406.6247 [cs, stat] (June","author":"Mnih Volodymyr","year":"2014","unstructured":"Volodymyr Mnih , Nicolas Heess , Alex Graves , and Koray Kavukcuoglu . 2014. Recurrent Models of Visual Attention. arXiv:1406.6247 [cs, stat] (June 2014 ). arXiv:1406.6247 [cs, stat] Volodymyr Mnih, Nicolas Heess, Alex Graves, and Koray Kavukcuoglu. 2014. Recurrent Models of Visual Attention. arXiv:1406.6247 [cs, stat] (June 2014). arXiv:1406.6247 [cs, stat]"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"e_1_3_2_2_33_1","volume-title":"Gholam Ali Montazer, and Farzaneh Esmaili","author":"Pourmirzaei Mahdi","year":"2021","unstructured":"Mahdi Pourmirzaei , Gholam Ali Montazer, and Farzaneh Esmaili . 2021 . Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation . arXiv:2105.06421 [cs] (Aug. 2021). arXiv:2105.06421 [cs] Mahdi Pourmirzaei, Gholam Ali Montazer, and Farzaneh Esmaili. 2021. Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation. arXiv:2105.06421 [cs] (Aug. 2021). arXiv:2105.06421 [cs]"},{"key":"e_1_3_2_2_34_1","volume-title":"Facial Expression Recognition Using Convolutional Neural Networks: State of the Art. arXiv:1612.02903 [cs] (Dec","author":"Pramerdorfer Christopher","year":"2016","unstructured":"Christopher Pramerdorfer and Martin Kampel . 2016. Facial Expression Recognition Using Convolutional Neural Networks: State of the Art. arXiv:1612.02903 [cs] (Dec . 2016 ). arXiv:1612.02903 [cs] Christopher Pramerdorfer and Martin Kampel. 2016. Facial Expression Recognition Using Convolutional Neural Networks: State of the Art. arXiv:1612.02903 [cs] (Dec. 2016). arXiv:1612.02903 [cs]"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3076275"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3462244.3479955"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TSMCB.2010.2044788","article-title":"Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition","volume":"41","author":"Zhi Ruicong","year":"2011","unstructured":"Ruicong Zhi , Markus Flierl , Qiuqi Ruan , and W Bastiaan Kleijn . 2011 . Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition . IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 , 1 (Feb. 2011), 38--52. https:\/\/doi.org\/10.1109\/TSMCB.2010.2044788 10.1109\/TSMCB.2010.2044788 Ruicong Zhi, Markus Flierl, Qiuqi Ruan, and W Bastiaan Kleijn. 2011. Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41, 1 (Feb. 2011), 38--52. https:\/\/doi.org\/10.1109\/TSMCB.2010.2044788","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6037"},{"key":"e_1_3_2_2_39_1","volume-title":"arXiv:1706.03762 [cs] (Dec","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017. Attention Is All You Need. arXiv:1706.03762 [cs] (Dec . 2017 ). arXiv:1706.03762 [cs] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention Is All You Need. arXiv:1706.03762 [cs] (Dec. 2017). arXiv:1706.03762 [cs]"},{"key":"e_1_3_2_2_40_1","volume-title":"Suppressing Uncertainties for Large-Scale Facial Expression Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Wang Kai","year":"2020","unstructured":"Kai Wang , Xiaojiang Peng , Jianfei Yang , Shijian Lu , and Yu Qiao . 2020 . Suppressing Uncertainties for Large-Scale Facial Expression Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Seattle, WA, USA, 6896--6905. https:\/\/doi.org\/10.1109\/CVPR42600. 2020.00693 10.1109\/CVPR42600.2020.00693 Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, and Yu Qiao. 2020. Suppressing Uncertainties for Large-Scale Facial Expression Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Seattle, WA, USA, 6896--6905. https:\/\/doi.org\/10.1109\/CVPR42600.2020.00693"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2956143"},{"key":"e_1_3_2_2_42_1","volume-title":"Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. arXiv:2005.10242 [cs, stat] (Nov","author":"Wang Tongzhou","year":"2020","unstructured":"Tongzhou Wang and Phillip Isola . 2020. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. arXiv:2005.10242 [cs, stat] (Nov . 2020 ). arXiv:2005.10242 [cs, stat] Tongzhou Wang and Phillip Isola. 2020. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. arXiv:2005.10242 [cs, stat] (Nov. 2020). arXiv:2005.10242 [cs, stat]"},{"key":"e_1_3_2_2_43_1","volume-title":"Non-Local Neural Networks. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE","author":"Wang Xiaolong","year":"2018","unstructured":"Xiaolong Wang , Ross Girshick , Abhinav Gupta , and Kaiming He . 2018 . Non-Local Neural Networks. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE , Salt Lake City, UT, USA, 7794--7803. https:\/\/doi.org\/10.1109\/CVPR. 2018.00813 10.1109\/CVPR.2018.00813 Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He. 2018. Non-Local Neural Networks. In 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Salt Lake City, UT, USA, 7794--7803. https:\/\/doi.org\/10.1109\/CVPR.2018.00813"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","first-page":"1s","DOI":"10.1145\/3408317","article-title":"Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion","volume":"17","author":"Wang Yang","year":"2021","unstructured":"Yang Wang . 2021 . Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion . ACM Transactions on Multimedia Computing, Communications, and Applications 17 , 1s (March 2021), 1--25. https:\/\/doi.org\/10.1145\/3408317 10.1145\/3408317 Yang Wang. 2021. Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion. ACM Transactions on Multimedia Computing, Communications, and Applications 17, 1s (March 2021), 1--25. https:\/\/doi.org\/10.1145\/3408317","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications"},{"key":"e_1_3_2_2_45_1","volume-title":"Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering. arXiv:1608.05560 [cs, stat] (Aug","author":"Wang Yang","year":"2016","unstructured":"Yang Wang , Wenjie Zhang , Lin Wu , Xuemin Lin , Meng Fang , and Shirui Pan . 2016. Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering. arXiv:1608.05560 [cs, stat] (Aug . 2016 ). arXiv:1608.05560 [cs, stat] Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, and Shirui Pan. 2016. Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering. arXiv:1608.05560 [cs, stat] (Aug. 2016). arXiv:1608.05560 [cs, stat]"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-021-3383-y"},{"key":"e_1_3_2_2_47_1","volume-title":"Masked Feature Prediction for Self-Supervised Visual Pre-Training. arXiv:2112.09133 [cs] (Dec","author":"Wei Chen","year":"2021","unstructured":"Chen Wei , Haoqi Fan , Saining Xie , Chao-Yuan Wu , Alan Yuille , and Christoph Feichtenhofer . 2021. Masked Feature Prediction for Self-Supervised Visual Pre-Training. arXiv:2112.09133 [cs] (Dec . 2021 ). arXiv:2112.09133 [cs] Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, and Christoph Feichtenhofer. 2021. Masked Feature Prediction for Self-Supervised Visual Pre-Training. arXiv:2112.09133 [cs] (Dec. 2021). arXiv:2112.09133 [cs]"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"e_1_3_2_2_49_1","volume-title":"Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. arXiv:2109.07270 [cs] (Nov","author":"Wen Zhengyao","year":"2021","unstructured":"Zhengyao Wen , Wenzhong Lin , Tao Wang , and Ge Xu. 2021. Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. arXiv:2109.07270 [cs] (Nov . 2021 ). arXiv:2109.07270 [cs] Zhengyao Wen, Wenzhong Lin, Tao Wang, and Ge Xu. 2021. Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. arXiv:2109.07270 [cs] (Nov. 2021). arXiv:2109.07270 [cs]"},{"key":"e_1_3_2_2_50_1","volume-title":"CBAM: Convolutional Block Attention Module. arXiv:1807.06521 [cs] (July","author":"Woo Sanghyun","year":"2018","unstructured":"Sanghyun Woo , Jongchan Park , Joon-Young Lee , and In So Kweon . 2018 . CBAM: Convolutional Block Attention Module. arXiv:1807.06521 [cs] (July 2018). arXiv:1807.06521 [cs] Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon. 2018. CBAM: Convolutional Block Attention Module. arXiv:1807.06521 [cs] (July 2018). arXiv:1807.06521 [cs]"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979190"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2689999"},{"key":"e_1_3_2_2_53_1","volume-title":"Exploring Self-Attention for Image Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE","author":"Zhao Hengshuang","year":"2020","unstructured":"Hengshuang Zhao , Jiaya Jia , and Vladlen Koltun . 2020 . Exploring Self-Attention for Image Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Seattle, WA, USA, 10073--10082. https:\/\/doi.org\/10.1109\/CVPR42600. 2020.01009 10.1109\/CVPR42600.2020.01009 Hengshuang Zhao, Jiaya Jia, and Vladlen Koltun. 2020. Exploring Self-Attention for Image Recognition. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Seattle, WA, USA, 10073--10082. https:\/\/doi.org\/10.1109\/CVPR42600.2020.01009"},{"key":"e_1_3_2_2_54_1","volume-title":"Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. (Nov","author":"Zhao Zengqun","year":"2021","unstructured":"Zengqun Zhao , Qingshan Liu , and Feng Zhou . 2021. Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. (Nov . 2021 ), 10. Zengqun Zhao, Qingshan Liu, and Feng Zhou. 2021. Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. (Nov. 2021), 10."},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247974"}],"event":{"name":"ICMR '22: International Conference on Multimedia Retrieval","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Newark NJ USA","acronym":"ICMR '22"},"container-title":["Proceedings of the 2022 International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512527.3531416","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512527.3531416","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:12Z","timestamp":1750188612000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512527.3531416"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,27]]},"references-count":55,"alternative-id":["10.1145\/3512527.3531416","10.1145\/3512527"],"URL":"https:\/\/doi.org\/10.1145\/3512527.3531416","relation":{},"subject":[],"published":{"date-parts":[[2022,6,27]]},"assertion":[{"value":"2022-06-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}