{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T21:07:45Z","timestamp":1780088865143,"version":"3.54.0"},"publisher-location":"Cham","reference-count":64,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030586201","type":"print"},{"value":"9783030586218","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-58621-8_3","type":"book-chapter","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T19:03:23Z","timestamp":1606417403000},"page":"35-53","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":117,"title":["BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues"],"prefix":"10.1007","author":[{"given":"Samuel","family":"Albanie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00fcl","family":"Varol","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liliane","family":"Momeni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Triantafyllos","family":"Afouras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joon Son","family":"Chung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil","family":"Fox","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Zisserman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,11,27]]},"reference":[{"key":"3_CR1","unstructured":"Afouras, T., Chung, J.S., Senior, A., Vinyals, O., Zisserman, A.: Deep audio-visual speech recognition. IEEE Trans. Pattern Anal. Mach. Intell. (2019)"},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/s10209-007-0104-x","volume":"6","author":"U Agris","year":"2008","unstructured":"Agris, U., Zieren, J., Canzler, U., Bauer, B., Kraiss, K.F.: Recent developments in visual sign language recognition. Univ. Access Inf. Soc. 6, 323\u2013362 (2008). https:\/\/doi.org\/10.1007\/s10209-007-0104-x","journal-title":"Univ. Access Inf. Soc."},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Antonakos, E., Roussos, A., Zafeiriou, S.: A survey on mouth modeling and analysis for sign language recognition. In: IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (2015)","DOI":"10.1109\/FG.2015.7163162"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Athitsos, V., et al.: The American sign language lexicon video dataset. In: CVPRW (2008)","DOI":"10.1109\/CVPRW.2008.4563181"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1075\/sll.14.2.02ban","volume":"14","author":"R Bank","year":"2011","unstructured":"Bank, R., Crasborn, O., Hout, R.: Variation in mouth actions with manual signs in sign language of the Netherlands (NGT). Sign Lang. Linguist. 14, 248\u2013270 (2011)","journal-title":"Sign Lang. Linguist."},{"key":"3_CR6","unstructured":"Bilge, Y.C., Ikizler, N., Cinbis, R.: Zero-shot sign language recognition: can textual data uncover sign languages? In: BMVC (2019)"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Buehler, P., Zisserman, A., Everingham, M.: Learning sign language by watching TV (using weakly aligned subtitles). In: CVPR (2009)","DOI":"10.1109\/CVPRW.2009.5206523"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Camgoz, N.C., Hadfield, S., Koller, O., Bowden, R.: Using convolutional 3D neural networks for user-independent continuous gesture recognition. In: IEEE International Conference of Pattern Recognition, ChaLearn Workshop (2016)","DOI":"10.1109\/ICPR.2016.7899606"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Camgoz, N.C., Hadfield, S., Koller, O., Bowden, R.: SubUNets: end-to-end hand shape and continuous sign language recognition. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.332"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.: Neural sign language translation. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00812"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Cao, Q., Shen, L., Xie, W., Parkhi, O.M., Zisserman, A.: VGGFace2: a dataset for recognising faces across pose and age. In: International Conference on Automatic Face and Gesture Recognition (2018)","DOI":"10.1109\/FG.2018.00020"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields. arXiv preprint arXiv:1812.08008 (2018)","DOI":"10.1109\/CVPR.2017.143"},{"key":"3_CR13","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"},{"key":"3_CR14","unstructured":"Chai, X., Wang, H., Chen, X.: The devisign large vocabulary of Chinese sign language database and baseline evaluations. Technical report VIPL-TR-14-SLR-001. Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS (2014)"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Chung, J.S., Senior, A., Vinyals, O., Zisserman, A.: Lip reading sentences in the wild. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.367"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Chung, J.S., Zisserman, A.: Lip reading in the wild. In: ACCV (2016)","DOI":"10.1007\/978-3-319-54184-6_6"},{"key":"3_CR17","unstructured":"Chung, J.S., Zisserman, A.: Signs in time: encoding human motion as a temporal image. In: Workshop on Brave New Ideas for Motion Representations, ECCV (2016)"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Cooper, H., Bowden, R.: Learning signs from subtitles: a weakly supervised approach to sign language recognition. In: CVPR (2009)","DOI":"10.1109\/CVPRW.2009.5206647"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Cooper, H., Pugeault, N., Bowden, R.: Reading the signs: a video based sign dictionary. In: ICCVW (2011)","DOI":"10.1109\/ICCVW.2011.6130349"},{"key":"3_CR20","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1007\/978-0-85729-997-0_27","volume-title":"Visual Analysis of Humans","author":"H Cooper","year":"2011","unstructured":"Cooper, H., Holt, B., Bowden, R.: Sign language recognition. In: Moeslund, T., Hilton, A., Kr\u00fcger, V., Sigal, L. (eds.) Visual Analysis of Humans, pp. 539\u2013562. Springer, London (2011). https:\/\/doi.org\/10.1007\/978-0-85729-997-0_27"},{"key":"3_CR21","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1075\/sll.11.1.04cra","volume":"11","author":"OA Crasborn","year":"2008","unstructured":"Crasborn, O.A., Van Der Kooij, E., Waters, D., Woll, B., Mesch, J.: Frequency distribution and spreading behavior of different types of mouth actions in three sign languages. Sign Lang. Linguist. 11, 45\u201367 (2008)","journal-title":"Sign Lang. Linguist."},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Ong, E.-J., Koller, O., Pugeault, N., Bowden, R.: Sign spotting using hierarchical sequential patterns with temporal intervals. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.248"},{"key":"3_CR23","unstructured":"Farhadi, A., Forsyth, D.: Aligning ASL for statistical translation using a discriminative word model. In: CVPR (2006)"},{"key":"3_CR24","doi-asserted-by":"crossref","unstructured":"Farhadi, A., Forsyth, D.A., White, R.: Transfer learning in sign language. In: CVPR (2007)","DOI":"10.1109\/CVPR.2007.383346"},{"key":"3_CR25","unstructured":"Fillbrandt, H., Akyol, S., Kraiss, K.: Extraction of 3D hand shape and posture from image sequences for sign language recognition. In: IEEE International SOI Conference (2003)"},{"issue":"4","key":"3_CR26","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1044\/jshr.1104.796","volume":"11","author":"CG Fisher","year":"1968","unstructured":"Fisher, C.G.: Confusions among visually perceived consonants. J. Speech Hear. Res. 11(4), 796\u2013804 (1968)","journal-title":"J. Speech Hear. Res."},{"key":"3_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/978-3-642-38628-2_10","volume-title":"Pattern Recognition and Image Analysis","author":"J Forster","year":"2013","unstructured":"Forster, J., Oberd\u00f6rfer, C., Koller, O., Ney, H.: Modality combination techniques for continuous sign language recognition. In: Sanches, J.M., Mic\u00f3, L., Cardoso, J.S. (eds.) IbPRIA 2013. LNCS, vol. 7887, pp. 89\u201399. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38628-2_10"},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"3_CR29","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1109\/TPAMI.2019.2913372","volume":"42","author":"J Hu","year":"2019","unstructured":"Hu, J., Shen, L., Albanie, S., Sun, G., Wu, E.: Squeeze-and-excitation networks. IEEE Trans. Pattern Anal. Mach. Intell. 42, 2011\u20132023 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3_CR30","unstructured":"Huang, J., Zhou, W., Li, H., Li, W.: Sign language recognition using 3D convolutional neural networks. In: International Conference on Multimedia and Expo (ICME) (2015)"},{"key":"3_CR31","doi-asserted-by":"crossref","unstructured":"Huang, J., Zhou, W., Zhang, Q., Li, H., Li, W.: Video-based sign language recognition without temporal segmentation. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11903"},{"key":"3_CR32","doi-asserted-by":"crossref","unstructured":"Jha, A., Namboodiri, V.P., Jawahar, C.V.: Word spotting in silent lip videos. In: WACV (2018)","DOI":"10.1109\/WACV.2018.00023"},{"key":"3_CR33","unstructured":"Joze, H.R.V., Koller, O.: MS-ASL: a large-scale data set and benchmark for understanding American sign language. In: BMVC (2019)"},{"key":"3_CR34","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.cviu.2015.09.013","volume":"141","author":"O Koller","year":"2015","unstructured":"Koller, O., Forster, J., Ney, H.: Continuous sign language recognition: towards large vocabulary statistical recognition systems handling multiple signers. Comput. Vis. Image Underst. 141, 108\u2013125 (2015)","journal-title":"Comput. Vis. Image Underst."},{"key":"3_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-3-319-10590-1_19","volume-title":"Computer Vision \u2013 ECCV 2014","author":"O Koller","year":"2014","unstructured":"Koller, O., Ney, H., Bowden, R.: Read my lips: continuous signer independent weakly supervised viseme recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 281\u2013296. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_19"},{"key":"3_CR36","unstructured":"Koller, O., Ney, H., Bowden, R.: Weakly supervised automatic transcription of mouthings for gloss-based sign language corpora. In: LREC Workshop on the Representation and Processing of Sign Languages: Beyond the Manual Channel (2014)"},{"key":"3_CR37","doi-asserted-by":"crossref","unstructured":"Koller, O., Ney, H., Bowden, R.: Deep learning of mouth shapes for sign language. In: 3rd Workshop on Assistive Computer Vision and Robotics, ICCV (2015)","DOI":"10.1109\/ICCVW.2015.69"},{"key":"3_CR38","doi-asserted-by":"crossref","unstructured":"Koller, O., Zargaran, S., Ney, H.: Re-sign: re-aligned end-to-end sequence modelling with deep recurrent CNN-HMMs. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.364"},{"key":"3_CR39","doi-asserted-by":"crossref","unstructured":"Li, D., Opazo, C.R., Yu, X., Li, H.: Word-level deep sign language recognition from video: a new large-scale dataset and methods comparison. In: WACV (2019)","DOI":"10.1109\/WACV45572.2020.9093512"},{"key":"3_CR40","doi-asserted-by":"crossref","unstructured":"Li, D., Yu, X., Xu, C., Petersson, L., Li, H.: Transferring cross-domain knowledge for video sign language recognition. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00624"},{"key":"3_CR41","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"3_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","volume-title":"Computer Vision \u2013 ECCV 2016","author":"W Liu","year":"2016","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 21\u201337. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2"},{"key":"3_CR43","doi-asserted-by":"crossref","unstructured":"Materzynska, J., Berger, G., Bax, I., Memisevic, R.: The Jester dataset: A large-scale video dataset of human gestures. In: ICCVW (2019)","DOI":"10.1109\/ICCVW.2019.00349"},{"key":"3_CR44","unstructured":"Momeni, L., Afouras, T., Stafylakis, T., Albanie, S., Zisserman, A.: Seeing wake words: Audio-visual keyword spotting. BMVC (2020)"},{"key":"3_CR45","doi-asserted-by":"crossref","unstructured":"Nguyen, T.D., Ranganath, S.: Tracking facial features under occlusions and recognizing facial expressions in sign language. In: International Conference on Automatic Face and Gesture Recognition (2008)","DOI":"10.1109\/AFGR.2008.4813464"},{"key":"3_CR46","unstructured":"Ong, E., Cooper, H., Pugeault, N., Bowden, R.: Sign language recognition using sequential pattern trees. In: CVPR (2012)"},{"key":"3_CR47","doi-asserted-by":"crossref","unstructured":"Pfister, T., Charles, J., Zisserman, A.: Large-scale learning of sign language by watching TV (using co-occurrences). In: BMVC (2013)","DOI":"10.5244\/C.27.20"},{"key":"3_CR48","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1007\/978-3-319-10599-4_52","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T Pfister","year":"2014","unstructured":"Pfister, T., Charles, J., Zisserman, A.: Domain-adaptive discriminative one-shot learning of gestures. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8694, pp. 814\u2013829. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10599-4_52"},{"key":"3_CR49","unstructured":"Schembri, A., Fenlon, J., Rentelis, R., Cormier, K.: British Sign Language Corpus Project: A corpus of digital video data and annotations of British Sign Language 2008\u20132017, 3rd edn. (2017). http:\/\/www.bslcorpusproject.org"},{"key":"3_CR50","first-page":"136","volume":"7","author":"A Schembri","year":"2013","unstructured":"Schembri, A., Fenlon, J., Rentelis, R., Reynolds, S., Cormier, K.: Building the British sign language corpus. Lang. Doc. Conserv. 7, 136\u2013154 (2013)","journal-title":"Lang. Doc. Conserv."},{"key":"3_CR51","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1007\/978-3-030-01225-0_32","volume-title":"Computer Vision \u2013 ECCV 2018","author":"T Stafylakis","year":"2018","unstructured":"Stafylakis, T., Tzimiropoulos, G.: Zero-shot keyword spotting for visual speech recognition in-the-wild. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11208, pp. 536\u2013552. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01225-0_32"},{"key":"3_CR52","unstructured":"Starner, T.: Visual Recognition of American Sign Language Using Hidden Markov Models. Master\u2019s thesis, Massachusetts Institute of Technology (1995)"},{"key":"3_CR53","doi-asserted-by":"crossref","unstructured":"Sutton-Spence, R.: Mouthings and simultaneity in British sign language. In: Simultaneity in Signed Languages: Form and Function, pp. 147\u2013162. John Benjamins (2007)","DOI":"10.1075\/cilt.281.07sut"},{"key":"3_CR54","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139167048","volume-title":"The Linguistics of British Sign Language: An Introduction","author":"R Sutton-Spence","year":"1999","unstructured":"Sutton-Spence, R., Woll, B.: The Linguistics of British Sign Language: An Introduction. Cambridge University Press, Cambridge (1999)"},{"issue":"4","key":"3_CR55","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/0031-3203(88)90048-9","volume":"21","author":"S Tamura","year":"1988","unstructured":"Tamura, S., Kawasaki, S.: Recognition of sign language motion images. Pattern Recogn. 21(4), 343\u2013353 (1988)","journal-title":"Pattern Recogn."},{"key":"3_CR56","volume-title":"The Gallaudet Dictionary of American Sign Language","author":"Valli, C., University, G.","year":"2005","unstructured":"Valli, C., University, G.: The Gallaudet Dictionary of American Sign Language. Gallaudet University Press, Washington, D.C. (2005)"},{"key":"3_CR57","unstructured":"Viitaniemi, V., Jantunen, T., Savolainen, L., Karppa, M., Laaksonen, J.: S-pot - a benchmark in spotting signs within continuous signing. In: LREC (2014)"},{"key":"3_CR58","doi-asserted-by":"crossref","unstructured":"von Agris, U., Knorr, M., Kraiss, K.: The significance of facial features for automatic sign language recognition. In: 2008 8th IEEE International Conference on Automatic Face Gesture Recognition (2008)","DOI":"10.1109\/AFGR.2008.4813472"},{"key":"3_CR59","unstructured":"Wilbur, R.B., Kak, A.C.: Purdue RVL-SLLL American sign language database. School of Electrical and Computer Engineering Technical Report, TR-06-12, Purdue University, W. Lafayette, IN 47906 (2006)"},{"key":"3_CR60","first-page":"87","volume-title":"The Hands are the Head of the Mouth: The Mouth as Articulator in Sign Languages","author":"B Woll","year":"2001","unstructured":"Woll, B.: The sign that dares to speak its name: echo phonology in British sign language (BSL). In: Boyes-Braem, P., Sutton-Spence, R. (eds.) The Hands are the Head of the Mouth: The Mouth as Articulator in Sign Languages, pp. 87\u201398. Signum Press, Hamburg (2001)"},{"key":"3_CR61","doi-asserted-by":"crossref","unstructured":"Yang, S., Luo, P., Loy, C.C., Tang, X.: Wider face: a face detection benchmark. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.596"},{"key":"3_CR62","doi-asserted-by":"crossref","unstructured":"Yao, Y., Wang, T., Du, H., Zheng, L., Gedeon, T.: Spotting visual keywords from temporal sliding windows. In: Mandarin Audio-Visual Speech Recognition Challenge (2019)","DOI":"10.1145\/3340555.3356101"},{"key":"3_CR63","doi-asserted-by":"crossref","unstructured":"Ye, Y., Tian, Y., Huenerfauth, M., Liu, J.: Recognizing American sign language gestures from within continuous videos. In: CVPRW (2018)","DOI":"10.1109\/CVPRW.2018.00280"},{"key":"3_CR64","unstructured":"Zhou, H., Zhou, W., Zhou, Y., Li, H.: Spatial-temporal multi-cue network for continuous sign language recognition. CoRR abs\/2002.03187 (2020)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58621-8_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:02:47Z","timestamp":1732579367000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58621-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030586201","9783030586218"],"references-count":64,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58621-8_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"27 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OpenReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5025","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1360","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic. From the ECCV Workshops 249 full papers, 18 short papers, and 21 further contributions were published out of a total of 467 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}