{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:24:00Z","timestamp":1743035040661,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030678319"},{"type":"electronic","value":"9783030678326"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-67832-6_44","type":"book-chapter","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T17:44:48Z","timestamp":1611337488000},"page":"541-553","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning 3D-Craft Generation with Predictive Action Neural Network"],"prefix":"10.1007","author":[{"given":"Ze-yu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian-wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weimin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,21]]},"reference":[{"key":"44_CR1","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: Bengio, Y., LeCun, Y. (eds.) 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, 7\u20139 May 2015, Conference Track Proceedings (2015). http:\/\/arxiv.org\/abs\/1409.0473"},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Carreira, J., Zisserman, A.: Quo vadis, action recognition? A new model and the kinetics dataset. CoRR abs\/1705.07750 (2017). http:\/\/arxiv.org\/abs\/1705.07750","DOI":"10.1109\/CVPR.2017.502"},{"key":"44_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Z., et al.: Order-aware generative modeling using the 3D-craft dataset. In: ICCV (2019)","DOI":"10.1109\/ICCV.2019.00185"},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Choy, C.B., Xu, D., Gwak, J., Chen, K., Savarese, S.: 3D\u2013r2n2: a unified approach for single and multi-view 3D object reconstruction. CoRR abs\/1604.00449 (2016). http:\/\/arxiv.org\/abs\/1604.00449","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"44_CR5","unstructured":"Deprelle, T., Groueix, T., Fisher, M., Kim, V., Russell, B., Aubry, M.: Learning elementary structures for 3D shape generation and matching. In: Wallach, H., Larochelle, H., Beygelzimer, A., d\u2019Alch\u00e9-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 32, pp. 7435\u20137445. Curran Associates, Inc. (2019). http:\/\/papers.nips.cc\/paper\/8962-learning-elementary-structures-for-3d-shape-generation-and-matching.pdf"},{"key":"44_CR6","unstructured":"Dhariwal, P., Jun, H., Payne, C., Kim, J.W., Radford, A., Sutskever, I.: Jukebox: a generative model for music. arXiv preprint arXiv:2005.00341 (2020)"},{"key":"44_CR7","unstructured":"Gregor, K., Danihelka, I., Graves, A., Wierstra, D.: DRAW: a recurrent neural network for image generation. CoRR abs\/1502.04623 (2015). http:\/\/arxiv.org\/abs\/1502.04623"},{"key":"44_CR8","unstructured":"Henderson, P., Ferrari, V.: Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. CoRR abs\/1901.06447 (2019). http:\/\/arxiv.org\/abs\/1901.06447"},{"key":"44_CR9","unstructured":"Jiang, M., Wu, Y., Lu, C.: PointSIFT: a SIFT-like network module for 3D point cloud semantic segmentation. CoRR abs\/1807.00652 (2018). http:\/\/arxiv.org\/abs\/1807.00652"},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Klokov, R., Lempitsky, V.S.: Escape from cells: deep Kd-networks for the recognition of 3D point cloud models. CoRR abs\/1704.01222 (2017). http:\/\/arxiv.org\/abs\/1704.01222","DOI":"10.1109\/ICCV.2017.99"},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Komori, J., Hotta, K.: AB-PointNet for 3D point cloud recognition. In: 2019 Digital Image Computing: Techniques and Applications (DICTA), pp. 1\u20136 (2019)","DOI":"10.1109\/DICTA47822.2019.8945926"},{"key":"44_CR12","unstructured":"Qi, C.R., Yi, L., Su, H., Guibas, L.J.: PointNet++: deep hierarchical feature learning on point sets in a metric space. arXiv preprint arXiv:1706.02413 (2017)"},{"key":"44_CR13","unstructured":"Qi, C.R., Su, H., Mo, K., Guibas, L.J.: PointNet: deep learning on point sets for 3d classification and segmentation. CoRR abs\/1612.00593 (2016). http:\/\/arxiv.org\/abs\/1612.00593"},{"key":"44_CR14","doi-asserted-by":"crossref","unstructured":"Sinha, A., Unmesh, A., Huang, Q., Ramani, K.: SurfNet: generating 3D shape surfaces using deep residual networks. CoRR abs\/1703.04079 (2017). http:\/\/arxiv.org\/abs\/1703.04079","DOI":"10.1109\/CVPR.2017.91"},{"key":"44_CR15","doi-asserted-by":"publisher","first-page":"2919","DOI":"10.1007\/s11263-020-01347-6","volume":"128","author":"H Xie","year":"2020","unstructured":"Xie, H., Yao, H., Zhang, S., Zhou, S., Sun, W.: Pix2vox++: multi-scale context-aware 3D object reconstruction from single and multiple images. Int. J. Comput. Vis. (IJCV) 128, 2919\u20132935 (2020)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Tuzel, O.: Net: end-to-end learning for point cloud based 3D object detection. CoRR abs\/1711.06396 (2017). http:\/\/arxiv.org\/abs\/1711.06396","DOI":"10.1109\/CVPR.2018.00472"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67832-6_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T08:24:39Z","timestamp":1623659079000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-67832-6_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030678319","9783030678326"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67832-6_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"21 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2021","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":"mmm2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mmm2021.cz\/","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":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"211","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":"73","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":"35% - 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":"2,63","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":"2,5","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)"}}]}}