{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T18:20:05Z","timestamp":1766600405896,"version":"3.40.3"},"publisher-location":"Cham","reference-count":44,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030668228"},{"type":"electronic","value":"9783030668235"}],"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\/978-3-030-66823-5_2","type":"book-chapter","created":{"date-parts":[[2021,1,2]],"date-time":"2021-01-02T07:03:14Z","timestamp":1609570994000},"page":"23-40","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["AIM 2020 Challenge on Video Temporal Super-Resolution"],"prefix":"10.1007","author":[{"given":"Sanghyun","family":"Son","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaerin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seungjun","family":"Nah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Radu","family":"Timofte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyoung Mu","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangbin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Siyao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxiu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Woonsung","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wonyong","family":"Seo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Munchurl","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Navarrete Michelini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazutoshi","family":"Akita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norimichi","family":"Ukita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,3]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Bao, W., Lai, W.S., Ma, C., Zhang, X., Gao, Z., Yang, M.H.: Depth-aware video frame interpolation. In: CVPR (2019)","DOI":"10.1109\/CVPR.2019.00382"},{"key":"2_CR2","unstructured":"Bao, W., Lai, W.S., Zhang, X., Gao, Z., Yang, M.H.: MEMC-Net: motion estimation and motion compensation driven neural network for video interpolation and enhancement. IEEE TPAMI (2019)"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Bar-Haim, A., Wolf, L.: ScopeFlow: dynamic scene scoping for optical flow. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00802"},{"key":"2_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/978-3-030-58583-9_7","volume-title":"Computer Vision - ECCV 2020","author":"Z Chi","year":"2020","unstructured":"Chi, Z., Mohammadi Nasiri, R., Liu, Z., Lu, J., Tang, J., Plataniotis, K.N.: All at once: temporally adaptive multi-frame interpolation with advanced motion modeling. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M. (eds.) ECCV 2020. LNCS, vol. 12372, pp. 107\u2013123. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58583-9_7"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Choi, M., Choi, J., Baik, S., Kim, T.H., Lee, K.M.: Scene-adaptive video frame interpolation via meta-learning. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00946"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Choi, M., Kim, H., Han, B., Xu, N., Lee, K.M.: Channel attention is all you need for video frame interpolation. In: AAAI (2020)","DOI":"10.1609\/aaai.v34i07.6693"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Dai, J., et al.: Deformable convolutional networks. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.89"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"El Helou, M., Zhou, R., S\u00fcsstrunk, S., Timofte, R., et al.: AIM 2020: scene relighting and illumination estimation challenge. In: ECCV Workshops (2020)","DOI":"10.1007\/978-3-030-67070-2_30"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Fuoli, D., et al.: AIM 2020 challenge on video extreme super-resolution: methods and results. In: Bartoli, A., Fusiello, A. (eds.) ECCV 2020. LNCS, vol. 12538, pp. 57\u201381. Springer, Cham (2020)","DOI":"10.1007\/978-3-030-66823-5_4"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Gui, S., Wang, C., Chen, Q., Tao, D.: FeatureFlow: robust video interpolation via structure-to-texture generation. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.01402"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Haris, M., Shakhnarovich, G., Ukita, N.: Space-time-aware multi-resolution video enhancement. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00293"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Haris, M., Shakhnarovich, G., Ukita, N.: Deep back-projection networks for super-resolution. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00179"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Haris, M., Shakhnarovich, G., Ukita, N.: Recurrent back-projection network for video super-resolution. In: CVPR (2019)","DOI":"10.1109\/CVPR.2019.00402"},{"key":"2_CR14","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":"2_CR15","doi-asserted-by":"crossref","unstructured":"Ignatov, A., Timofte, R., et al.: AIM 2020 challenge on learned image signal processing pipeline. In: ECCV Workshops (2020)","DOI":"10.1007\/978-3-030-67070-2_9"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Ignatov, A., Timofte, R., et al.: AIM 2020 challenge on rendering realistic bokeh. In: ECCV Workshops (2020)","DOI":"10.1007\/978-3-030-67070-2_13"},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Jiang, H., Sun, D., Jampani, V., Yang, M.H., Learned-Miller, E., Kautz, J.: Super SloMo: high quality estimation of multiple intermediate frames for video interpolation. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00938"},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Lee, H., Kim, T., Chung, T.y., Pak, D., Ban, Y., Lee, S.: AdaCoF: adaptive collaboration of flows for video frame interpolation. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00536"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Li, S., Xu, X., Pan, Z., Sun, W.: Quadratic video interpolation for VTSR challenge. In: ICCV Workshops (2019)","DOI":"10.1109\/ICCVW.2019.00425"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Y., Xie, L., Siyao, L., Sun, W., Qiao, Y., Dong, C.: Enhanced quadratic video interpolation. In: Bartoli, A., Fusiello, A. (eds.) ECCV 2020. LNCS, vol. 12538, pp. 41\u201356. Springer, Cham (2020)","DOI":"10.1007\/978-3-030-66823-5_3"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Liu, Z., Yeh, R.A., Tang, X., Liu, Y., Agarwala, A.: Video frame synthesis using deep voxel flow. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.478"},{"key":"2_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1007\/978-3-319-46466-4_26","volume-title":"Computer Vision \u2013 ECCV 2016","author":"G Long","year":"2016","unstructured":"Long, G., Kneip, L., Alvarez, J.M., Li, H., Zhang, X., Yu, Q.: Learning image matching by simply watching video. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9910, pp. 434\u2013450. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46466-4_26"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Meyer, S., Djelouah, A., McWilliams, B., Sorkine-Hornung, A., Gross, M., Schroers, C.: PhaseNet for video frame interpolation. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00059"},{"key":"2_CR24","doi-asserted-by":"crossref","unstructured":"Meyer, S., Wang, O., Zimmer, H., Grosse, M., Sorkine-Hornung, A.: Phase-based frame interpolation for video. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298747"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Nah, S., et al.: NTIRE 2019 challenges on video deblurring and super-resolution: dataset and study. In: CVPR Workshops (2019)","DOI":"10.1109\/CVPRW.2019.00251"},{"key":"2_CR26","doi-asserted-by":"crossref","unstructured":"Nah, S., Son, S., Timofte, R., Lee, K.M., et al.: AIM 2019 challenge on video temporal super-resolution: methods and results. In: ICCV Workshops (2019)","DOI":"10.1109\/CVPRW.2019.00251"},{"key":"2_CR27","doi-asserted-by":"crossref","unstructured":"Niklaus, S., Liu, F.: Context-aware synthesis for video frame interpolation. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00183"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Niklaus, S., Liu, F.: Softmax splatting for video frame interpolation. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00548"},{"key":"2_CR29","doi-asserted-by":"crossref","unstructured":"Niklaus, S., Mai, L., Liu, F.: Video frame interpolation via adaptive convolution. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.244"},{"key":"2_CR30","doi-asserted-by":"crossref","unstructured":"Niklaus, S., Mai, L., Liu, F.: Video frame interpolation via adaptive separable convolution. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.37"},{"key":"2_CR31","doi-asserted-by":"crossref","unstructured":"Ntavelis, E., Romero, A., Bigdeli, S.A., Timofte, R., et al.: AIM 2020 challenge on image extreme inpainting. In: ECCV Workshops (2020)","DOI":"10.1007\/978-3-030-67070-2_43"},{"key":"2_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-030-58568-6_7","volume-title":"Computer Vision \u2013 ECCV 2020","author":"J Park","year":"2020","unstructured":"Park, J., Ko, K., Lee, C., Kim, C.-S.: BMBC: bilateral motion estimation with bilateral cost volume for video interpolation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12359, pp. 109\u2013125. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58568-6_7"},{"key":"2_CR33","doi-asserted-by":"crossref","unstructured":"Peleg, T., Szekely, P., Sabo, D., Sendik, O.: IM-Net for high resolution video frame interpolation. In: CVPR (2019)","DOI":"10.1109\/CVPR.2019.00250"},{"key":"2_CR34","doi-asserted-by":"crossref","unstructured":"Reda, F.A., et al.: Unsupervised video interpolation using cycle consistency. In: ICCV (2019)","DOI":"10.1109\/ICCV.2019.00098"},{"key":"2_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"2_CR36","doi-asserted-by":"crossref","unstructured":"Sun, D., Yang, X., Liu, M.Y., Kautz, J.: PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00931"},{"key":"2_CR37","unstructured":"Wei, P., Lu, H., Timofte, R., Lin, L., Zuo, W., et al.: AIM 2020 challenge on real image super-resolution. In: ECCV Workshops (2020)"},{"key":"2_CR38","unstructured":"Xu, X., Siyao, L., Sun, W., Yin, Q., Yang, M.H.: Quadratic video interpolation. In: NeurIPS (2019)"},{"issue":"8","key":"2_CR39","doi-asserted-by":"publisher","first-page":"1106","DOI":"10.1007\/s11263-018-01144-2","volume":"127","author":"T Xue","year":"2019","unstructured":"Xue, T., Chen, B., Wu, J., Wei, D., Freeman, W.T.: Video enhancement with task-oriented flow. Int. J. Comput. Vision 127(8), 1106\u20131125 (2019). https:\/\/doi.org\/10.1007\/s11263-018-01144-2","journal-title":"Int. J. Comput. Vision"},{"key":"2_CR40","doi-asserted-by":"crossref","unstructured":"Yuan, L., Chen, Y., Liu, H., Kong, T., Shi, J.: Zoom-in-to-check: boosting video interpolation via instance-level discrimination. In: CVPR (2019)","DOI":"10.1109\/CVPR.2019.01246"},{"key":"2_CR41","doi-asserted-by":"crossref","unstructured":"Zhang, H., Zhao, Y., Wang, R.: A flexible recurrent residual pyramid network for video frame interpolation. In: ICCV (2019)","DOI":"10.1109\/ACCESS.2019.2940510"},{"key":"2_CR42","unstructured":"Zhang, K., Danelljan, M., Li, Y., Timofte, R., et al.: AIM 2020 challenge on efficient super-resolution: methods and results. In: ECCV Workshops (2020)"},{"key":"2_CR43","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"2_CR44","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Tian, Y., Kong, Y., Zhong, B., Fu, Y.: Residual dense network for image super-resolution. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00262"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66823-5_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T00:18:20Z","timestamp":1735777100000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-66823-5_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030668228","9783030668235"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66823-5_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"3 January 2021","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)"}}]}}