{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T09:47:10Z","timestamp":1776160030430,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,11,9]],"date-time":"2015-11-09T00:00:00Z","timestamp":1447027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Canadian Foundation for Innovation (CFI)","award":["Leaders program"],"award-info":[{"award-number":["Leaders program"]}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["Discovery Award"],"award-info":[{"award-number":["Discovery Award"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["project 01GQ0841"],"award-info":[{"award-number":["project 01GQ0841"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,11,9]]},"DOI":"10.1145\/2818346.2830596","type":"proceedings-article","created":{"date-parts":[[2016,11,9]],"date-time":"2016-11-09T20:43:27Z","timestamp":1478724207000},"page":"467-474","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":259,"title":["Recurrent Neural Networks for Emotion Recognition in Video"],"prefix":"10.1145","author":[{"given":"Samira","family":"Ebrahimi Kahou","sequence":"first","affiliation":[{"name":"Ecole Polytechnique de Montr\u00e9al, Montreal, Canada"}]},{"given":"Vincent","family":"Michalski","sequence":"additional","affiliation":[{"name":"University of Montreal, Montreal, Canada"}]},{"given":"Kishore","family":"Konda","sequence":"additional","affiliation":[{"name":"Goethe-University Frankfurt, Frankfurt am Main, Germany"}]},{"given":"Roland","family":"Memisevic","sequence":"additional","affiliation":[{"name":"University of Montreal, Montreal, Canada"}]},{"given":"Christopher","family":"Pal","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique, Montreal, Canada"}]}],"member":"320","published-online":{"date-parts":[[2015,11,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25446-8_4"},{"key":"e_1_3_2_1_2_1","volume-title":"Neural machine translation by jointly learning to align and translate. CoRR, abs\/1409.0473","author":"Bahdanau D.","year":"2014","unstructured":"D. Bahdanau , K. Cho , and Y. Bengio . Neural machine translation by jointly learning to align and translate. CoRR, abs\/1409.0473 , 2014 . D. Bahdanau, K. Cho, and Y. Bengio. Neural machine translation by jointly learning to align and translate. CoRR, abs\/1409.0473, 2014."},{"key":"e_1_3_2_1_3_1","volume-title":"Theano: new features and speed improvements. arXiv preprint arXiv:1211.5590","author":"Bastien F.","year":"2012","unstructured":"F. Bastien , P. Lamblin , R. Pascanu , J. Bergstra , I. Goodfellow , A. Bergeron , N. Bouchard , D. Warde-Farley , and Y. Bengio . Theano: new features and speed improvements. arXiv preprint arXiv:1211.5590 , 2012 . F. Bastien, P. Lamblin, R. Pascanu, J. Bergstra, I. Goodfellow, A. Bergeron, N. Bouchard, D. Warde-Farley, and Y. Bengio. Theano: new features and speed improvements. arXiv preprint arXiv:1211.5590, 2012."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/2188385.2188395"},{"key":"e_1_3_2_1_5_1","first-page":"3","volume-title":"Proceedings of the Python for scientific computing conference (SciPy)","volume":"4","author":"Bergstra J.","unstructured":"J. Bergstra , O. Breuleux , F. Bastien , P. Lamblin , R. Pascanu , G. Desjardins , J. Turian , D. Warde-Farley , and Y. Bengio . Theano: a cpu and gpu math expression compiler . In Proceedings of the Python for scientific computing conference (SciPy) , volume 4 , page 3 . Austin, TX, 2010. J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio. Theano: a cpu and gpu math expression compiler. In Proceedings of the Python for scientific computing conference (SciPy), volume 4, page 3. Austin, TX, 2010."},{"key":"e_1_3_2_1_6_1","volume-title":"Universit\u00e9 de Montr\u00e9al","author":"Carrier P.-L.","year":"2013","unstructured":"P.-L. Carrier , A. Courville , I. J. Goodfellow , M. Mirza , and Y. Bengio . FER-2013 Face Database. Technical report, 1365 , Universit\u00e9 de Montr\u00e9al , 2013 . P.-L. Carrier, A. Courville, I. J. Goodfellow, M. Mirza, and Y. Bengio. FER-2013 Face Database. Technical report, 1365, Universit\u00e9 de Montr\u00e9al, 2013."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2666275"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2012.26"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2829994"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","DOI":"10.21236\/ADA623249","volume-title":"Long-term recurrent convolutional networks for visual recognition and description","author":"Donahue J.","year":"2014","unstructured":"J. Donahue , L. A. Hendricks , S. Guadarrama , M. Rohrbach , S. Venugopalan , K. Saenko , and T. Darrell . Long-term recurrent convolutional networks for visual recognition and description . 2014 . J. Donahue, L. A. Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell. Long-term recurrent convolutional networks for visual recognition and description. 2014."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2009.5349350"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"e_1_3_2_1_14_1","first-page":"545","volume-title":"Advances in Neural Information Processing Systems","author":"Graves A.","year":"2009","unstructured":"A. Graves and J. Schmidhuber . Offline handwriting recognition with multidimensional recurrent neural networks . In Advances in Neural Information Processing Systems , pages 545 -- 552 , 2009 . A. Graves and J. Schmidhuber. Offline handwriting recognition with multidimensional recurrent neural networks. In Advances in Neural Information Processing Systems, pages 545--552, 2009."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_16_1","first-page":"1","volume-title":"Journal on Multimodal User Interfaces","author":"Kahou S. E.","year":"2015","unstructured":"S. E. Kahou , X. Bouthillier , P. Lamblin , C. Gulcehre , V. Michalski , K. Konda , S. Jean , P. Froumenty , Y. Dauphin , N. Boulanger-Lewandowski , R. Chandias Ferrari , M. Mirza , D. Warde-Farley , A. Courville , P. Vincent , R. Memisevic , C. Pal , and Y. Bengio . Emonets: Multimodal deep learning approaches for emotion recognition in video . Journal on Multimodal User Interfaces , pages 1 -- 13 , 2015 . S. E. Kahou, X. Bouthillier, P. Lamblin, C. Gulcehre, V. Michalski, K. Konda, S. Jean, P. Froumenty, Y. Dauphin, N. Boulanger-Lewandowski, R. Chandias Ferrari, M. Mirza, D. Warde-Farley, A. Courville, P. Vincent, R. Memisevic, C. Pal, and Y. Bengio. Emonets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, pages 1--13, 2015."},{"key":"e_1_3_2_1_17_1","volume-title":"ECCV Workshop on Computer Vision with Local Binary Patterns Variants","author":"Kahou S. E.","year":"2014","unstructured":"S. E. Kahou , P. Froumenty , and C. Pal . Facial expression analysis based on high dimensional binary features . In ECCV Workshop on Computer Vision with Local Binary Patterns Variants , Zurich, Switzerland , 2014 . S. E. Kahou, P. Froumenty, and C. Pal. Facial expression analysis based on high dimensional binary features. In ECCV Workshop on Computer Vision with Local Binary Patterns Variants, Zurich, Switzerland, 2014."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2522848.2531745"},{"key":"e_1_3_2_1_19_1","volume-title":"A convolutional neural network for modelling sentences. arXiv:1404.2188","author":"Kalchbrenner N.","year":"2014","unstructured":"N. Kalchbrenner , E. Grefenstette , and P. Blunsom . A convolutional neural network for modelling sentences. arXiv:1404.2188 , 2014 . N. Kalchbrenner, E. Grefenstette, and P. Blunsom. A convolutional neural network for modelling sentences. arXiv:1404.2188, 2014."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of ICLR","author":"Konda K. R.","year":"2014","unstructured":"K. R. Konda , R. Memisevic , and V. Michalski . Learning to encode motion using spatio-temporal synchrony . In Proceedings of ICLR , April 2014 . K. R. Konda, R. Memisevic, and V. Michalski. Learning to encode motion using spatio-temporal synchrony. In Proceedings of ICLR, April 2014."},{"key":"e_1_3_2_1_21_1","volume-title":"Aug.","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky . Cuda-convnet Google code home page. https:\/\/code.google.com\/p\/cuda-convnet\/ , Aug. 2012 . A. Krizhevsky. Cuda-convnet Google code home page. https:\/\/code.google.com\/p\/cuda-convnet\/, Aug. 2012."},{"key":"e_1_3_2_1_22_1","first-page":"1097","volume-title":"Advances in neural information processing systems","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton . Imagenet classification with deep convolutional neural networks . In Advances in neural information processing systems , pages 1097 -- 1105 , 2012 . A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097--1105, 2012."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995496"},{"key":"e_1_3_2_1_24_1","volume-title":"A simple way to initialize recurrent networks of rectified linear units. arXiv preprint arXiv:1504.00941","author":"Le Q. V.","year":"2015","unstructured":"Q. V. Le , N. Jaitly , and G. E. Hinton . A simple way to initialize recurrent networks of rectified linear units. arXiv preprint arXiv:1504.00941 , 2015 . Q. V. Le, N. Jaitly, and G. E. Hinton. A simple way to initialize recurrent networks of rectified linear units. arXiv preprint arXiv:1504.00941, 2015."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2666274"},{"key":"e_1_3_2_1_26_1","volume-title":"Github: kaggle-cifar10-torch7. https: \/\/github.com\/nagadomi\/kaggle-cifar10-torch7\/","year":"2014","unstructured":"Nagadomi. Github: kaggle-cifar10-torch7. https: \/\/github.com\/nagadomi\/kaggle-cifar10-torch7\/ , 2014 . Nagadomi. Github: kaggle-cifar10-torch7. https: \/\/github.com\/nagadomi\/kaggle-cifar10-torch7\/, 2014."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/2062850.2062907"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.08.005"},{"key":"e_1_3_2_1_29_1","volume-title":"Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman . Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556 , 2014 . K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556, 2014."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.446"},{"key":"e_1_3_2_1_31_1","volume-title":"UTML TR 2010-001","author":"Susskind J.","year":"2010","unstructured":"J. Susskind , A. Anderson , and G. Hinton . The toronto face database. Technical report , UTML TR 2010-001 , University of Toronto , 2010 . J. Susskind, A. Anderson, and G. Hinton. The toronto face database. Technical report, UTML TR 2010-001, University of Toronto, 2010."},{"key":"e_1_3_2_1_32_1","first-page":"3104","volume-title":"Advances in neural information processing systems","author":"Sutskever I.","year":"2014","unstructured":"I. Sutskever , O. Vinyals , and Q. V. Le . Sequence to sequence learning with neural networks . In Advances in neural information processing systems , pages 3104 -- 3112 , 2014 . I. Sutskever, O. Vinyals, and Q. V. Le. Sequence to sequence learning with neural networks. In Advances in neural information processing systems, pages 3104--3112, 2014."},{"key":"e_1_3_2_1_33_1","volume-title":"Modeling spatial-temporal clues in a hybrid deep learning framework for video classification. arXiv preprint arXiv:1504.01561","author":"Wu Z.","year":"2015","unstructured":"Z. Wu , X. Wang , Y.-G. Jiang , H. Ye , and X. Xue . Modeling spatial-temporal clues in a hybrid deep learning framework for video classification. arXiv preprint arXiv:1504.01561 , 2015 . Z. Wu, X. Wang, Y.-G. Jiang, H. Ye, and X. Xue. Modeling spatial-temporal clues in a hybrid deep learning framework for video classification. arXiv preprint arXiv:1504.01561, 2015."}],"event":{"name":"ICMI '15: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","location":"Seattle Washington USA","acronym":"ICMI '15","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2015 ACM on International Conference on Multimodal Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2818346.2830596","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2818346.2830596","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:43:39Z","timestamp":1750225419000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2818346.2830596"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,9]]},"references-count":33,"alternative-id":["10.1145\/2818346.2830596","10.1145\/2818346"],"URL":"https:\/\/doi.org\/10.1145\/2818346.2830596","relation":{},"subject":[],"published":{"date-parts":[[2015,11,9]]},"assertion":[{"value":"2015-11-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}