{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:15:27Z","timestamp":1780053327885,"version":"3.54.0"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031783043","type":"print"},{"value":"9783031783050","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78305-0_24","type":"book-chapter","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T10:13:28Z","timestamp":1733220808000},"page":"372-386","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Cross-Attention Based Influence Model for Manual and Nonmanual Sign Language Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8863-1338","authenticated-orcid":false,"given":"Lipisha","family":"Chaudhary","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9353-9528","authenticated-orcid":false,"given":"Fei","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1414-6433","authenticated-orcid":false,"given":"Ifeoma","family":"Nwogu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Ananthanarayana, T., Kotecha, N., Srivastava, P., Chaudhary, L., Wilkins, N., Nwogu, I.: Dynamic cross-feature fusion for american sign language translation. In: FG 2021. IEEE (2021)","DOI":"10.1109\/FG52635.2021.9667027"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Bragg, D., Koller, O., Bellard, M., Berke, L., Boudreault, P., Braffort, A., Caselli, N.K., Huenerfauth, M., Kacorri, H., Verhoef, T., Vogler, C., Morris, M.R.: Sign language recognition, generation, and translation: An interdisciplinary perspective. ACM SIGACCESS Conference on Computers and Accessibility (2019)","DOI":"10.1145\/3308561.3353774"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Brunton, S.L., Budi\u0161i\u0107, M., Kaiser, E., Kutz, J.N.: Modern koopman theory for dynamical systems. arXiv preprint arXiv:2102.12086 (2021)","DOI":"10.1137\/21M1401243"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.: Neural sign language translation. In: 2018 CVPR. pp. 7784\u20137793 (2018)","DOI":"10.1109\/CVPR.2018.00812"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Camgoz, N.C., Koller, O., Hadfield, S., Bowden, R.: Multi-channel transformers for multi-articulatory sign language translation. In: Bartoli, A., Fusiello, A. (eds.) ECCV Workshops (2020)","DOI":"10.1007\/978-3-030-66823-5_18"},{"key":"24_CR6","unstructured":"Camgoz, N.C., Koller, O., Hadfield, S., Bowden, R.: Sign language transformers: Joint end-to-end sign language recognition and translation. In: CVPR (2020)"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Carreira, J., Zisserman, A.: Quo vadis, action recognition? a new model and the kinetics dataset. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.502"},{"issue":"11","key":"24_CR8","doi-asserted-by":"publisher","first-page":"12896","DOI":"10.1109\/TPAMI.2022.3232389","volume":"45","author":"L Chaudhary","year":"2023","unstructured":"Chaudhary, L., Ananthanarayana, T., Hoq, E., Nwogu, I.: Signnet ii: A transformer-based two-way sign language translation model. IEEE Trans. Pattern Anal. Mach. Intell. 45(11), 12896\u201312907 (2023). https:\/\/doi.org\/10.1109\/TPAMI.2022.3232389","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"24_CR9","unstructured":"Chen, Y., Zuo, R., Wei, F., Wu, Y., LIU, S., Mak, B.: Two-stream network for sign language recognition and translation. In: Oh, A.H., Agarwal, A., Belgrave, D., Cho, K. (eds.) NeurIPS (2022)"},{"key":"24_CR10","unstructured":"Chen, Y., Zuo, R., Wei, F., Wu, Y., Liu, S., Mak, B.: Two-stream network for sign language recognition and translation. NeurIPS (2022)"},{"key":"24_CR11","unstructured":"Geist, A.R., Frey, J., Zobro, M., Levina, A., Martius, G.: Learning with 3d rotations, a hitchhiker\u2019s guide to so (3). arXiv preprint arXiv:2404.11735 (2024)"},{"key":"24_CR12","unstructured":"Guan, M., Wang, Y., Ma, G., Liu, J., Sun, M.: Multi-stream keypoint attention network for sign language recognition and translation (2024)"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Jiang, T., Camg\u00f6z, N.C., Bowden, R.: Skeletor: Skeletal transformers for robust body-pose estimation. In: 2021 CVPRW. pp. 3389\u20133397 (2021)","DOI":"10.1109\/CVPRW53098.2021.00378"},{"key":"24_CR14","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: Bengio, Y., LeCun, Y. (eds.) 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings (2015)"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Koller, O., Ney, H., Bowden, R.: Deep learning of mouth shapes for sign language. In: 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) (2015)","DOI":"10.1109\/ICCVW.2015.69"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Le, H., Pino, J.M., Wang, C., Gu, J., Schwab, D., Besacier, L.: Dual-decoder transformer for joint automatic speech recognition and multilingual speech translation. In: International Conference on Computational Linguistics (2020)","DOI":"10.18653\/v1\/2020.coling-main.314"},{"key":"24_CR17","unstructured":"Levinson, J., Esteves, C., Chen, K., Snavely, N., Kanazawa, A., Rostamizadeh, A., Makadia, A.: An analysis of svd for deep rotation estimation. NeurIPS 33 (2020)"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Li, D., Rodriguez, C., Yu, X., Li, H.: Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison. In: WACV (2020)","DOI":"10.1109\/WACV45572.2020.9093512"},{"key":"24_CR19","unstructured":"Li, D., Xu, C., Yu, X., Zhang, K., Swift, B., Suominen, H., Li, H.: Tspnet: Hierarchical feature learning via temporal semantic pyramid for sign language translation. In: Advances in Neural Information Processing Systems. vol.\u00a033 (2020)"},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Libovick\u00fd, J., Helcl, J., Mareek, D.: Input combination strategies for multi-source transformer decoder. In: Conference on Machine Translation (2018)","DOI":"10.18653\/v1\/W18-6326"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Lin, C.Y., Och, F.J.: Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics. In: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04). pp. 605\u2013612. Barcelona, Spain (Jul 2004)","DOI":"10.3115\/1218955.1219032"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Lin, J., Zeng, A., Wang, H., Zhang, L., Li, Y.: One-stage 3d whole-body mesh recovery with component aware transformer. In: CVPR. pp. 21159\u201321168 (2023)","DOI":"10.1109\/CVPR52729.2023.02027"},{"key":"24_CR23","doi-asserted-by":"crossref","unstructured":"Mohr, S.: Chapter 3. Non-manuals in Sign Languages \u2013 Theoretical Background, pp. 31\u201363. De Gruyter Mouton, Berlin, Boston (2014)","DOI":"10.1515\/9781614514978.31"},{"key":"24_CR24","unstructured":"Mukushev, M., Sabyrov, A., Imashev, A., Koishybay, K., Kimmelman, V., Sandygulova, A.: Evaluation of manual and non-manual components for sign language recognition"},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Ott, M., Edunov, S., Baevski, A., Fan, A., Gross, S., Ng, N., Grangier, D., Auli, M.: fairseq: A fast, extensible toolkit for sequence modeling. In: Ammar, W., Louis, A., Mostafazadeh, N. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). pp. 48\u201353. Association for Computational Linguistics (Jun 2019)","DOI":"10.18653\/v1\/N19-4009"},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. p. 311\u2013318. ACL \u201902, ACL, USA (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"24_CR27","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. In: Isabelle, P., Charniak, E., Lin, D. (eds.) ACL, pp. 311\u2013318. Association for Computational Linguistics, Philadelphia, Pennsylvania, USA (Jul (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"24_CR28","unstructured":"Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., Lerer, A.: Automatic differentiation in pytorch. In: NeurIPS 2017 Workshop on Autodiff (2017)"},{"key":"24_CR29","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A.A.A., Tzionas, D., Black, M.J.: Expressive body capture: 3D hands, face, and body from a single image. In: CVPR. pp. 10975\u201310985 (2019)","DOI":"10.1109\/CVPR.2019.01123"},{"key":"24_CR30","doi-asserted-by":"crossref","unstructured":"Silva, E.P.d., Costa, P.D.P., Kumada, K.M.O., De\u00a0Martino, J.M.: Silfa: Sign language facial action database for the development of assistive technologies for the deaf. In: FG 2020 (2020)","DOI":"10.1109\/FG47880.2020.00059"},{"key":"24_CR31","doi-asserted-by":"crossref","unstructured":"Stokoe, W.C.: Sign language structure. Annual Review of Anthropology 9 (1980)","DOI":"10.1146\/annurev.an.09.100180.002053"},{"key":"24_CR32","unstructured":"VALLI, C., LUCAS, C., MULROONEY, K.J., VILLANUEVA, M.: Linguistics of American Sign Language, 5th Ed.: An Introduction. Gallaudet University Press (2011)"},{"key":"24_CR33","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L.u., Polosukhin, I.: Attention is all you need. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. (eds.) NeurIPS. vol.\u00a030 (2017)"},{"key":"24_CR34","doi-asserted-by":"crossref","unstructured":"Yu, B., Yin, H., Zhu, Z.: Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI) (2018)","DOI":"10.24963\/ijcai.2018\/505"},{"key":"24_CR35","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1016\/j.neucom.2021.08.079","volume":"464","author":"J Zheng","year":"2021","unstructured":"Zheng, J., Chen, Y., Wu, C., Shi, X., Kamal, S.M.: Enhancing neural sign language translation by highlighting the facial expression information. Neurocomputing 464, 462\u2013472 (2021)","journal-title":"Neurocomputing"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78305-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T11:20:48Z","timestamp":1733224848000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78305-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"ISBN":["9783031783043","9783031783050"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78305-0_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"4 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}