{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T07:17:07Z","timestamp":1726471027910},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1016\/j.neucom.2020.01.078","type":"journal-article","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T01:42:20Z","timestamp":1579743740000},"page":"117-130","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":34,"special_numbering":"C","title":["Zero-shot learning for action recognition using synthesized features"],"prefix":"10.1016","volume":"390","author":[{"given":"Ashish","family":"Mishra","sequence":"first","affiliation":[]},{"given":"Anubha","family":"Pandey","sequence":"additional","affiliation":[]},{"given":"Hema A.","family":"Murthy","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2020.01.078_bib0001","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"1410","article-title":"Zero-shot learning with semantic output codes","author":"Palatucci","year":"2009"},{"key":"10.1016\/j.neucom.2020.01.078_bib0002","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009","first-page":"951","article-title":"Learning to detect unseen object classes by between-class attribute transfer","author":"Lampert","year":"2009"},{"key":"10.1016\/j.neucom.2020.01.078_bib0003","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4582","article-title":"Zero-shot learning-the good, the bad and the ugly","author":"Xian","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0004","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"Mikolov","year":"2013"},{"key":"10.1016\/j.neucom.2020.01.078_bib0005","series-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural language processing (EMNLP)","first-page":"1532","article-title":"Glove: global vectors for word representation","author":"Pennington","year":"2014"},{"key":"10.1016\/j.neucom.2020.01.078_bib0006","series-title":"Proceedings of, 2015 IEEE International Conference on the Image Processing (ICIP)","first-page":"63","article-title":"Semantic embedding space for zero-shot action recognition","author":"Xu","year":"2015"},{"key":"10.1016\/j.neucom.2020.01.078_bib0007","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3174","article-title":"Semantic autoencoder for zero-shot learning","author":"Kodirov","year":"2017"},{"issue":"3","key":"10.1016\/j.neucom.2020.01.078_bib0008","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1007\/s11263-017-1027-5","article-title":"Zero-shot visual recognition via bidirectional latent embedding","volume":"124","author":"Wang","year":"2017","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.neucom.2020.01.078_bib0009","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2452","article-title":"Unsupervised domain adaptation for zero-shot learning","author":"Kodirov","year":"2015"},{"key":"10.1016\/j.neucom.2020.01.078_bib0010","series-title":"Proceedings of the International Conference on Machine Learning","first-page":"2152","article-title":"An embarrassingly simple approach to zero-shot learning","author":"Romera-Paredes","year":"2015"},{"key":"10.1016\/j.neucom.2020.01.078_bib0011","series-title":"Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"3337","article-title":"Recognizing human actions by attributes","author":"Liu","year":"2011"},{"key":"10.1016\/j.neucom.2020.01.078_bib0012","unstructured":"M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G.S. Corrado, J. Dean, Zero-shot learning by convex combination of semantic embeddings, arXiv preprint arXiv:1312.5650 (2013)."},{"key":"10.1016\/j.neucom.2020.01.078_bib0013","series-title":"Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"2927","article-title":"Evaluation of output embeddings for fine-grained image classification","author":"Akata","year":"2015"},{"issue":"3","key":"10.1016\/j.neucom.2020.01.078_bib0014","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1109\/TPAMI.2013.140","article-title":"Attribute-based classification for zero-shot visual object categorization","volume":"36","author":"Lampert","year":"2014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2020.01.078_bib0015","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"343","article-title":"Multi-task zero-shot action recognition with prioritised data augmentation","author":"Xu","year":"2016"},{"issue":"3","key":"10.1016\/j.neucom.2020.01.078_bib0016","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s11263-016-0983-5","article-title":"Transductive zero-shot action recognition by word-vector embedding","volume":"123","author":"Xu","year":"2017","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.neucom.2020.01.078_bib0017","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-18), Louisiana, USA.","article-title":"Zero-shot learning via class-conditioned deep generative models","author":"Wang","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0018","series-title":"Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases","first-page":"792","article-title":"A simple exponential family framework for zero-shot learning","author":"Verma","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0019","series-title":"2018 IEEE Winter Conference on Applications of Computer Vision (WACV)","first-page":"372","article-title":"A generative approach to zero-shot and few-shot action recognition","author":"Mishra","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0020","unstructured":"G. Dinu, A. Lazaridou, M. Baroni, Improving zero-shot learning by mitigating the hubness problem, arXiv preprint arXiv:1412.6568 (2014)."},{"issue":"Sep","key":"10.1016\/j.neucom.2020.01.078_bib0021","first-page":"2487","article-title":"Hubs in space: popular nearest neighbors in high-dimensional data","volume":"11","author":"Radovanovi\u0107","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.neucom.2020.01.078_bib0022","unstructured":"D.P. Kingma, M. Welling, Auto-encoding variational bayes, arXiv preprint arXiv:1312.6114 (2013)."},{"key":"10.1016\/j.neucom.2020.01.078_bib0023","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"2672","article-title":"Generative adversarial nets","author":"Goodfellow","year":"2014"},{"key":"10.1016\/j.neucom.2020.01.078_bib0024","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"4743","article-title":"Improved variational inference with inverse autoregressive flow","author":"Kingma","year":"2016"},{"key":"10.1016\/j.neucom.2020.01.078_bib0025","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.neucom.2020.01.078_bib0026","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"Kingma","year":"2014"},{"key":"10.1016\/j.neucom.2020.01.078_bib0027","series-title":"Proceedings of the the Conference on Uncertainty in Artificial Intelligence (UAI)","first-page":"3","article-title":"A probabilistic framework for zero-shot multi-label learning","author":"Gaure","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0028","series-title":"IJCAI","first-page":"1774","article-title":"Synthesizing samples fro zero-shot learning","author":"Guo","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0029","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"5327","article-title":"Synthesized classifiers for zero-shot learning","author":"Changpinyo","year":"2016"},{"key":"10.1016\/j.neucom.2020.01.078_bib0030","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops","first-page":"2188","article-title":"A generative model for zero shot learning using conditional variational autoencoders","author":"Mishra","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0031","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"6034","article-title":"Zero-shot learning via joint latent similarity embedding","author":"Zhang","year":"2016"},{"key":"10.1016\/j.neucom.2020.01.078_bib0032","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"4166","article-title":"Zero-shot learning via semantic similarity embedding","author":"Zhang","year":"2015"},{"key":"10.1016\/j.neucom.2020.01.078_bib0033","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"5542","article-title":"Feature generating networks for zero-shot learning","author":"Xian","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0034","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"21","article-title":"Multi-modal cycle-consistent generalized zero-shot learning","author":"Felix","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0035","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"4281","article-title":"Generalized zero-shot learning via synthesized examples","author":"Kumar Verma","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0036","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"6857","article-title":"Zero-shot recognition via semantic embeddings and knowledge graphs","author":"Wang","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0037","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"9436","article-title":"Towards universal representation for unseen action recognition","author":"Zhu","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0038","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","article-title":"Towards a fair evaluation of zero-shot action recognition using external data","author":"Roitberg","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0039","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2833","article-title":"Zero-shot action recognition with error-correcting output codes","author":"Qin","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0040","series-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","article-title":"Out-of-distribution detection for generalized zero-shot action recognition","author":"Mandal","year":"2019"},{"key":"10.1016\/j.neucom.2020.01.078_bib0041","unstructured":"M. Bishay, G. Zoumpourlis, I. Patras D.P. Kingma, M. Welling, TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition, arXiv preprint arXiv:1907.09021 (2019)."},{"key":"10.1016\/j.neucom.2020.01.078_bib0042","series-title":"Proceedings of the International Conference on Computer Vision (ICCV) Workshops: TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision","article-title":"Generating visual representations for zero-shot classification","author":"Bucher","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0043","series-title":"Proceedings of the International Conference on Machine Learning","first-page":"881","article-title":"Made: masked autoencoder for distribution estimation","author":"Germain","year":"2015"},{"key":"10.1016\/j.neucom.2020.01.078_bib0044","series-title":"Proceedings of the International Conference on Machine Learning","first-page":"1587","article-title":"Toward controlled generation of text","author":"Hu","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0045","unstructured":"K. Soomro, A.R. Zamir, M. Shah, UCF101: A dataset of 101 human actions classes from videos in the wild, arXiv preprint arXiv:1212.0402 (2012)."},{"key":"10.1016\/j.neucom.2020.01.078_bib0046","series-title":"Proceedings of the 2011 IEEE International Conference on Computer Vision (ICCV)","first-page":"2556","article-title":"HMDB: a large video database for human motion recognition","author":"Kuehne","year":"2011"},{"key":"10.1016\/j.neucom.2020.01.078_bib0047","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"4489","article-title":"Learning spatiotemporal features with 3D convolutional networks","author":"Tran","year":"2015"},{"key":"10.1016\/j.neucom.2020.01.078_bib0048","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3174","article-title":"Semantic autoencoder for zero-shot learning","author":"Kodirov","year":"2017"},{"key":"10.1016\/j.neucom.2020.01.078_bib0049","series-title":"Proceedings of the CVPR","first-page":"5542","article-title":"Feature generating networks for zero-shot learning","author":"Xian","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0050","series-title":"Proceedings of the ECCV","first-page":"21","article-title":"Multi-modal cycle-consistent generalized zero-shot learning","author":"Felix","year":"2018"},{"key":"10.1016\/j.neucom.2020.01.078_bib0052","series-title":"Proceedings of the Advances in Neural Information Processing Systems","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"Simonyan","year":"2014"},{"key":"10.1016\/j.neucom.2020.01.078_bib0053","series-title":"Proceedings of the IEEE Conference on Computer Vision & Pattern Recognition, CVPR 2011","first-page":"3169","article-title":"Action recognition by dense trajectories","author":"Wang","year":"2011"},{"key":"10.1016\/j.neucom.2020.01.078_bib0054","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"3551","article-title":"Action recognition with improved trajectories","author":"Wang","year":"2013"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231220301302?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231220301302?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T12:04:00Z","timestamp":1588593840000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231220301302"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":53,"alternative-id":["S0925231220301302"],"URL":"http:\/\/dx.doi.org\/10.1016\/j.neucom.2020.01.078","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2020,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Zero-shot learning for action recognition using synthesized features","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2020.01.078","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}
