{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:19:18Z","timestamp":1757618358987,"version":"3.44.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031959103"},{"type":"electronic","value":"9783031959110"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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\/978-3-031-95911-0_26","type":"book-chapter","created":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T06:08:11Z","timestamp":1750486091000},"page":"368-382","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CSI2Depth: Spatio-Temporal Depth Images from\u00a0Wi-Fi CSI Data via\u00a0Transformer Networks and\u00a0Conditional Generative Adversarial Networks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3052-4759","authenticated-orcid":false,"given":"Constantino","family":"\u00c1lvarez Casado","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4917-340X","authenticated-orcid":false,"given":"Manuel","family":"Lage Ca\u00f1ellas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3705-1927","authenticated-orcid":false,"given":"Janne","family":"Mustaniemi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4570-7264","authenticated-orcid":false,"given":"Matteo","family":"Pedone","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2661-804X","authenticated-orcid":false,"given":"Olli","family":"Silv\u00e9n","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5707-9085","authenticated-orcid":false,"given":"Miguel","family":"Bordallo L\u00f3pez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,16]]},"reference":[{"key":"26_CR1","unstructured":"Rohan, A., Hasan, M.J., Petrovski, A.: A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision (2025)"},{"key":"26_CR2","doi-asserted-by":"publisher","unstructured":"Andrei, V.C., Li, X., Fees, M., Feik, A., M\u00f6nich, U.J., Boche, H.: A digital twinning platform for integrated sensing, communications and robotics. In: 2024 IEEE 4th International Symposium on Joint Communications & Sensing (JC &S), pp.\u00a01\u20136 (2024). https:\/\/doi.org\/10.1109\/JCS61227.2024.10646236","DOI":"10.1109\/JCS61227.2024.10646236"},{"key":"26_CR3","doi-asserted-by":"publisher","unstructured":"Andrei, V.C., et al.: Demonstration of a continuously updated, radio-compatible digital twin for robotic integrated sensing and communications. In: 2025 IEEE 5th International Symposium on Joint Communications & Sensing (JC &S), pp.\u00a01\u20132 (2025). https:\/\/doi.org\/10.1109\/JCS64661.2025.10880640","DOI":"10.1109\/JCS64661.2025.10880640"},{"issue":"5","key":"26_CR4","doi-asserted-by":"publisher","first-page":"3522","DOI":"10.1109\/TWC.2022.3219463","volume":"22","author":"F Dong","year":"2022","unstructured":"Dong, F., Liu, F., Cui, Y., Wang, W., Han, K., Wang, Z.: Sensing as a service in 6g perceptive networks: a unified framework for ISAC resource allocation. IEEE Trans. Wireless Commun. 22(5), 3522\u20133536 (2022)","journal-title":"IEEE Trans. Wireless Commun."},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez-Prelcic, N., et al.: The integrated sensing and communication revolution for 6G: vision, techniques, and applications. In: Proceedings of the IEEE (2024)","DOI":"10.1109\/JPROC.2024.3397609"},{"key":"26_CR6","unstructured":"Grigsby, J., Wang, Z., Nguyen, N., Qi, Y.: Long-range transformers for dynamic spatiotemporal forecasting. arXiv preprint arXiv:2109.12218 (2021)"},{"key":"26_CR7","unstructured":"Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved training of Wasserstein GANs. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"issue":"1","key":"26_CR8","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/JSTSP.2013.2287471","volume":"8","author":"BR Hamilton","year":"2013","unstructured":"Hamilton, B.R., Ma, X., Baxley, R.J., Matechik, S.M.: Propagation modeling for radio frequency tomography in wireless networks. IEEE J. Sel. Top. Signal Process. 8(1), 55\u201365 (2013)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Haneda, K., et al.: Radio propagation modeling methods and tools. In: Inclusive Radio Communications for 5G and Beyond, pp. 7\u201348. Elsevier (2021)","DOI":"10.1016\/B978-0-12-820581-5.00008-0"},{"key":"26_CR10","doi-asserted-by":"publisher","unstructured":"Hangqing, G., Zhang, N., Wenjun, S., Saeed, A.A., Shaoen, W., Honggang, W.: Real-time indoor 3D human imaging based on MIMO radar sensing. In: IEEE International Conference on Multimedia and Expo (2019). https:\/\/doi.org\/10.1109\/ICME.2019.00244","DOI":"10.1109\/ICME.2019.00244"},{"key":"26_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/978-3-319-46475-6_43","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J Johnson","year":"2016","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 694\u2013711. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_43"},{"key":"26_CR12","doi-asserted-by":"publisher","unstructured":"Khalifa, M., Elias, R., Schindelhauer, C.: Indoor localization through depth estimation. In: 2023 2nd International Conference on Smart Cities 4.0, pp. 384\u2013390. IEEE (2023). https:\/\/doi.org\/10.1109\/smartcities4.056956.2023.10526040","DOI":"10.1109\/smartcities4.056956.2023.10526040"},{"issue":"1","key":"26_CR13","doi-asserted-by":"publisher","first-page":"305","DOI":"10.3390\/vehicles6010013","volume":"6","author":"S Lahiri","year":"2024","unstructured":"Lahiri, S., Ren, J., Lin, X.: Deep learning-based stereopsis and monocular depth estimation techniques: a review. Vehicles 6(1), 305\u2013351 (2024)","journal-title":"Vehicles"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Lehtola, V.V., Nikoohemat, S., N\u00fcchter, A.: Indoor 3D: overview on scanning and reconstruction methods. In: Handbook of Big Geospatial Data, pp. 55\u201397 (2020)","DOI":"10.1007\/978-3-030-55462-0_3"},{"issue":"3","key":"26_CR15","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s41095-023-0350-8","volume":"10","author":"Y Li","year":"2024","unstructured":"Li, Y., Xiao, J., Wang, Y., Lu, Z.: Depthgan: GAN-based depth generation from semantic layouts. Comput. Visual Media 10(3), 505\u2013522 (2024)","journal-title":"Comput. Visual Media"},{"key":"26_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2022.103489","volume":"222","author":"A Lopes","year":"2022","unstructured":"Lopes, A., Souza, R., Pedrini, H.: A survey on RGB-D datasets. Comput. Vis. Image Underst. 222, 103489 (2022). https:\/\/doi.org\/10.1016\/j.cviu.2022.103489","journal-title":"Comput. Vis. Image Underst."},{"issue":"3","key":"26_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3310194","volume":"52","author":"Y Ma","year":"2019","unstructured":"Ma, Y., Zhou, G., Wang, S.: Wifi sensing with channel state information: a survey. ACM Comput. Surv. (CSUR) 52(3), 1\u201336 (2019)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"26_CR18","doi-asserted-by":"publisher","unstructured":"Mohammed, A., Anton, I., Kawsar, F.: On Indoor Human Sensing Using Commodity Radar. UbiComp\/ISWC Adjunct (2018). https:\/\/doi.org\/10.1145\/3267305.3274180","DOI":"10.1145\/3267305.3274180"},{"key":"26_CR19","doi-asserted-by":"publisher","unstructured":"M\u00e4\u00e4tt\u00e4, T., Sharifipour, S., Bordallo\u00a0L\u00f3pez, M., \u00c1lvarez Casado, C.: Spatio-temporal 3D point clouds from wi-fi-csi data via transformer networks. In: 2025 IEEE 5th International Symposium on Joint Communications & Sensing (JC &S), pp.\u00a01\u20136 (2025). https:\/\/doi.org\/10.1109\/JCS64661.2025.10880635","DOI":"10.1109\/JCS64661.2025.10880635"},{"key":"26_CR20","doi-asserted-by":"crossref","unstructured":"Nguyen, L., Casado, C.\u00c1., Silv\u00e9n, O., L\u00f3pez, M.B.: Identification, activity, and biometric classification using radar-based sensing. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), pp.\u00a01\u20138. IEEE (2022)","DOI":"10.1109\/ETFA52439.2022.9921651"},{"key":"26_CR21","doi-asserted-by":"publisher","unstructured":"P., B., Miles, J., Suk-Kyu, L., R., K.: Real time localization and 3D depth estimation across disparate sensing systems: toward hazard aware and tele-immersive spaces. In: International Conference on Systems, Signals, and Image Processing (2008). https:\/\/doi.org\/10.1109\/IWSSIP.2008.4604417","DOI":"10.1109\/IWSSIP.2008.4604417"},{"key":"26_CR22","unstructured":"Pharr, M., Jakob, W., Humphreys, G.: Physically Based Rendering: From Theory to Implementation. MIT Press (2023)"},{"key":"26_CR23","doi-asserted-by":"publisher","unstructured":"Xu, R., Dong, W., Sharma, A., Kaess, M.: Learned depth estimation of 3D imaging radar for indoor mapping. In: IEEE\/RJS International Conference on Intelligent RObots and Systems (2022). https:\/\/doi.org\/10.1109\/IROS47612.2022.9981572","DOI":"10.1109\/IROS47612.2022.9981572"},{"key":"26_CR24","doi-asserted-by":"publisher","unstructured":"Fang, S., Nirjon, S.: Superrf: enhanced 3D RF representation using stationary low-cost mmWave radar. In: European Conference\/Workshop on Wireless Sensor Networks (2020). https:\/\/doi.org\/10.5555\/3400306.3400321","DOI":"10.5555\/3400306.3400321"},{"issue":"3","key":"26_CR25","first-page":"1566","volume":"22","author":"X Tong","year":"2021","unstructured":"Tong, X., Wang, H., Liu, X., Qu, W.: Mapfi: autonomous mapping of wi-fi infrastructure for indoor localization. IEEE Trans. Mob. Comput. 22(3), 1566\u20131580 (2021)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"26_CR26","doi-asserted-by":"publisher","unstructured":"Xu, G., Cao, X., Liu, J., Fan, J., Li, E., Long, X.: Robust and accurate depth estimation by fusing LiDAR and stereo. Measur. Sci. Technol. 34(12), 125107 (2023). https:\/\/doi.org\/10.1088\/1361-6501\/acef47","DOI":"10.1088\/1361-6501\/acef47"},{"key":"26_CR27","doi-asserted-by":"crossref","unstructured":"Yan, K., Wang, F., Qian, B., Ding, H., Han, J., Wei, X.: Person-in-wifi 3D: end-to-end multi-person 3D pose estimation with wi-fi. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 969\u2013978 (2024)","DOI":"10.1109\/CVPR52733.2024.00098"},{"key":"26_CR28","unstructured":"Yang, J., et al.: Mm-fi: multi-modal non-intrusive 4D human dataset for versatile wireless sensing. In: Advances in Neural Information Processing Systems, vol. 36 (2024)"},{"key":"26_CR29","doi-asserted-by":"crossref","unstructured":"Zhou, J., Liao, X., Gao, Z., Li, Q., Zheng, C.: Wiadn: asymmetrical dual-task attention network for wifi sensing. IEEE Internet Things J. (2024)","DOI":"10.1109\/JIOT.2024.3434738"}],"container-title":["Lecture Notes in Computer Science","Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-95911-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T21:17:46Z","timestamp":1757193466000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-95911-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031959103","9783031959110"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-95911-0_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"16 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SCIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Scandinavian Conference on Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Reykjavik","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iceland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"scia2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/scia2025.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}